Next Article in Journal
Prevalence and Antimicrobial Susceptibility of Bovine Mycoplasma Species in Egypt
Next Article in Special Issue
Potential of Whole-Body Vibration in Parkinson’s Disease: A Systematic Review and Meta-Analysis of Human and Animal Studies
Previous Article in Journal
Identifying General Tumor and Specific Lung Cancer Biomarkers by Transcriptomic Analysis
Previous Article in Special Issue
The Influence of Mattress Stiffness on Spinal Curvature and Intervertebral Disc Stress—An Experimental and Computational Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effects of a Multicomponent Exercise Program on Improving Frailty in Post-COVID-19 Older Adults after Intensive Care Units: A Single-Group Retrospective Cohort Study

by
Juan Nicolás Cuenca-Zaldivar
1,2,
Álvaro Monroy Acevedo
1,2,
Josué Fernández-Carnero
3,4,5,6,7,*,†,
Eleuterio A. Sánchez-Romero
4,5,6,7,*,‡,
Jorge Hugo Villafañe
8 and
Carlos Barragán Carballar
4,5,6,7,9,10
1
Research Group in Nursing and Health Care, Puerta de Hierro Health Research Institute—Segovia de Arana (IDIPHISA), 28222 Majadahonda, Spain
2
Rehabilitation Service, Guadarrama Hospital, 28440 Madrid, Spain
3
Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain
4
Department of Physiotherapy, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
5
Musculoskeletal Pain and Motor Control Research Group, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
6
Department of Physiotherapy, Faculty of Health Sciences, Universidad Europea de Canarias, 38300 Santa Cruz de Tenerife, Spain
7
Musculoskeletal Pain and Motor Control Research Group, Faculty of Health Sciences, Universidad Europea de Canarias, 38300 Santa Cruz de Tenerife, Spain
8
IRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20148 Milan, Italy
9
Escuela Internacional de Doctorado, Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Universidad Rey Juan Carlos, 28922 Alcorcón, Spain
10
OnelifeCenter, Multidisciplinary Center for the Prevention and Treatment of Pain, 28924 Alcorcón, Spain
*
Authors to whom correspondence should be addressed.
Current address: Departamento de Fisioterapia, Terapia Ocupacional, Rehabilitación y Medicina Física, Facultad Ciencias de la Salud, Universidad Rey Juan Carlos, Despacho XXX, Primera Planta, Departamental II, Avenida de Atenas, s/n, 28922 Alcorcón, Spain.
Current address: Department of Physiotherapy, Faculty of Sport Sciences, Universidad Europea de Madrid, Tajo, s/n, Urbanización El Bosque, 28670 Villaviciosa de Odón, Spain.
Biology 2022, 11(7), 1084; https://doi.org/10.3390/biology11071084
Submission received: 15 June 2022 / Revised: 10 July 2022 / Accepted: 18 July 2022 / Published: 20 July 2022
(This article belongs to the Special Issue Human Bodywork: Applications in Health, Disease, and Rehabilitation)

Abstract

:

Simple Summary

Older adult patients with post-COVID-19 syndrome present greater physical impairment accompanied by frailty, which is why multicomponent exercise programs (MEP) are recommended for their positive effects on improving frailty and physical capacity. The aim of this study was to evaluate the effects of a short MEP (Vivifrail; <4 weeks) on the improvement of physical performance and frailty in post-COVID-19 older adults in a hospital setting. Data were collected from the functional gait training program based on selected Vivifrail MEP in a single group, applied to patients admitted with a diagnosis of post-COVID-19 functional impairment. The program was carried out for 3 weeks, with daily sessions lasting 40 min. Patients included were assessed at the beginning and at the end of the protocol on their functionality, strength, balance, gait and coordination, and ability to carry out basic activities of daily living. The results of this study show significant improvements in physical fitness and frailty by means of the MEP applied in its short version (<4 weeks) showing even clinically relevant improvements. The MEP is effective and safe on improving frailty in post-COVID-19 older adult patients.

Abstract

Background: Older adult patients with post-COVID-19 syndrome present greater physical impairment accompanied by frailty than younger patients, which is why multicomponent exercise programs (MEP) are recommended for their positive effects on improving frailty and physical capacity. The aim of this study was to evaluate the effects of a short MEP (Vivifrail; <4 weeks) on improving frailty in post-COVID-19 older adults after intensive care units. Methods: To develop a retrospective cohort study, data were collected from the functional gait training program based on selected Vivifrail MEP in a single-group and applied to patients admitted with a diagnosis of post-COVID-19 functional impairment. The MEP was carried out for 3 weeks, with daily sessions lasting 40 min. Patients included were assessed at the beginning and at the end of the protocol by using the Short Performance Physical Battery (SPPB), the number of falls in the last year, the number of falls with medical attention, the Timed Up and Go (TUG) test, the presence of dementia, the Trunk Control Test (TCT), the Tinetti balance and gait test, Barthel Index, Medical Research Council Sum Score (MRCSS) and handgrip strength dynamometry. Results: The results of this study show statistically significant improvements in physical fitness and frailty with increases in the Short Physical Performance Battery (Z = 9.12, p < 0.001) by means of the MET applied in its short version (<4 weeks) showing even clinically relevant improvements (>2.5 points). Statistically significant improvements were also found in Medical Research Council Sum Score (Z = 12.345, p < 0.001), Barthel Index Score (Z = 12.272, p < 0.001), Trunk Control Test (Z = 12. 36, p < 0.001), Tinetti–POMA (Z = 12.293, p < 0.001) including the balance (Z = 12.11, p < 0.001), gait (Z = 12.164, p < 0.001) subscales and in the hand dynamometry (Z = 12.172, p < 0.001). Conclusions: The selected Vivifrail MEP is effective and safe for improving frailty in post-COVID-19 older adult’s patients.

1. Introduction

SARS-CoV-2, also known as COVID-19, causes severe acute respiratory syndrome that most often affects patients over 60 years of age and those with underlying medical conditions. The elderly are the most vulnerable to the negative consequences of severe acute respiratory syndrome due to SARS-CoV-2 infection [1]. In an observational study in Spain that determined intra-hospital mortality related to COVID-19 in older people, researchers found that functional impairment as measured by the Barthel Index or the presence of frailty are predictive factors influencing higher mortality [2]. Others have shown, in a multicenter European study conducted at 11 hospitals in the UK and Italy, that patients with COVID-19 classified as frail are more likely to die and the time to discharge from the hospital is less rapid than those who are not frail [3]. In this study, a sample of 1564 patients with COVID-19 showed that the prevalence of frailty is 49.4% and that frailty was associated with earlier death.
Clinical symptoms associated with COVD-19 mainly affect the respiratory track, but symptoms are highly heterogeneous, from no symptoms to minimal symptoms, to mild symptoms, to severe symptom such as pneumonia, acute respiratory distress syndrome, septic shock, and, potential systemic multiple organ failure syndrome [4] A recent study has found that COVID-19 can accelerate the deterioration of physical performance and frailty in older people in nursing homes by about 20%, a 22% decrease in walking speed and a 21% increase in frailty compared to healthy older people of the same age [5]. As a result of immobilization and prolonged mechanical ventilation (MV), the recovery of respiratory and physical functions may take a long time after patient discharge from intensive care unit (ICU), or sometimes only a partial recovery is achieved, leading to a reduction in quality of life [6].
Both the lack of mobility associated with confinement and bed immobilization linked to longer hospital admissions have been shown to have a direct effect on muscle mass and physical function, even in young adults [7]. It has been shown that the loss of muscle mass is more accentuated in the first 2–3 weeks of immobilization and that young adults recover better from the sequelae but not all recover initial levels [7,8]. Patients admitted to the ICU have their frailty condition accelerated, with 8% dying at 2-year follow-up and 19% at 5 years [8].
Guidelines have been published for the approach to patients with COVID-19 wherein exercise is included as one of the fundamental pillars, in addition to interventions in respiratory physiotherapy [9]. In this sense, international multicentre observational cohort studies have been launched to analyse the effects of rehabilitation treatment, including physiotherapy based on physical exercise and occupational therapy among others, on patients’ recovery in activities of daily living [10]. The Vivifrail program is a multicomponent exercise program (MEP) whose main objective is to improve the health of older adults by preventing and treating frailty and the risk of falls. This program combines strength, endurance, balance and gait training, producing significant improvements in functional capacity [11]. This program has been conducted in hospitalized older adult patients with favorable results in functional capacity, frailty, muscle strength, cognitive status, gait, and balance. In a recent study of older people with sarcopenia, they were given two different forms of the MEP exercise program (4 weeks vs. 24 weeks). They found positive results with both doses of the Vivifrail MEP, reviving frailty in 36% of cases and 59% improved until reaching full autonomy [12]. However, no studies have been conducted to analyze the effectiveness of this program in frail older adult survivors of SARS-CoV-2 [11]. On the other hand, the effect of physical activity on pain is known, but this approach has not been performed in SARS-CoV-2 survivors [13]. Although there are not many published trials on exercise in post-COVID-19 patients, clinical guidelines and recommendations have been published indicating the use of exercise for these patients [14].
Therefore, the aim of the present study was to assess the effects of a MEP (Vivifrail) short-programme (<4 weeks) on the improvement of frailty in post-COVID-19 older adults after intensive care units.

2. Materials and Methods

2.1. Study Design

A single-group, retrospective cohort study was developed following Strengthening the Reporting of Observational Studies in Epidemiology Guidelines, (STROBE) [15]. For the review of clinical histories and data exploitation, we had the approval of the Guadarrama Hospital Center Management and with the approval of the Research Ethics Committee of the Hospital Universitario Puerta de Hierro de Majadahonda, Madrid. (24 November 2021). At all times the confidentiality of the information was preserved, making responsible use of the data, as established by current Spanish regulations and in accordance with the Declaration of Helsinki.

2.2. Study Population

Data were collected from the functional gait training programme based on Vivifrail MEP carried out at Guadarrama Hospital as part of routine physiotherapy clinical practice, applied to older adult patients admitted with a diagnosis of post-COVID-19 functional impairment to Guadarrama Hospital between July and October 2020.
The inclusion criteria required patients older than 50, admitted to the Hospital de Guadarrama after discharge from intensive care units (ICUs) for rehabilitation who presented a diagnosis of post-COVID-19 functional impairment. For exclusion criteria, the following were not included: (a) patients with acute locomotion disorders with contraindications for lower limb exercise; (b) patients unable to walk; (c) patients with severe pain in the lower limb (score above 7 on the 10-point visual analog scale); and (d) patients with moderate or severe cognitive impairment that altered comprehension and collaboration in the implementation of the exercise program (Mini Mental Status Examination score less than 24 points).

2.3. Outcomes Measures

Patients included were assessed at the beginning and at the end of the protocol by using the following scales.

2.4. Physical Functioning

The primary outcome through the Short Performance Physical Battery (SPPB) [16], composed of a series of assessments of lower extremity functioning in older adults that evaluated the transition from sitting to standing position with the feet in three different positions (side-by-side or Romberg test, tandem, and semi-tandem), the time to walk 4 m (4-m gait speed test), and to stand up from a chair five times (chair stand-up test) by using a maximum score of 12, with higher scores indicating high functionality in the lower limb.
The following secondary outcomes were also collected.

2.5. Risk of Falls

Assessment of fall risk according to the Vivifrail protocol: cumulative number of falls in the past year, cumulative number of falls with physician care, suffer at least 1 fall in the past year, Timed Up and Go test (TUG) [17] and existence of dementia to establish the existence of fall risk (+ or −); the TUG assesses the time it takes to get out of the chair, walk three meters, back to the chair, and to sit down.

2.6. Balance

The Trunk Control Test (TCT) [18] evaluated four aspects of trunk movement, swinging to both sides, sitting balance, and rising from the floor; individual items are scored from 0 (incapable) to 12 (ability to perform the movement but with an unusual style) and 25 (ability to perform the movement correctly).
The Tinetti balance and gait test evaluated the gait and balance abilities of the older adult; it is composed of 16 items, 9 for balance and 7 for gait, each of which is scored on a 3-point ordinal scale from 0 to 2, where the higher score denotes independence on each item [19].

2.7. Basic Activities in Daily Life

The Barthel Index evaluated one’s ability to care for him/herself through ten activities of daily living like feeding, bathing, grooming, dressing, bowel and bladder control, toileting, chair transfer, ambulation, and stair climbing; the maximum score is 100 points and the higher the score, the greater the functional independence of the patient. The following baseline data regarding age, sex, and admission diagnosis were also collected [20].

2.8. Strength

The Medical Research Council Sum Score (MRCSS) strength assessment scale evaluated muscle strength in the upper and lower limbs. The different movements evaluated are scored from 0 to 5 and a maximum score of 60 can be obtained [21].
Handgrip strength was used by averaging the result of three attempts with the dominant hand by using a Baseline© BIMS Digital 5-Position Grip Dynamometer, Clinic Model, 1072 Tafelski Rd New Waverly, TX, 77358-4500 United States [22,23].

2.9. Multicomponent Physical Exercise Intervention

The patients included received an individualised work programme, selected from the A+ and B+ levels of the Vivifrail MEP. The Vivifrail MEP levels define the patient’s level of independence. Level A indicates that the patient has difficulty standing, level B indicates that the patient walks with diffimathvariant="bold-script"ulty or with aids, level C represents those patients with mild difficulty walking or standing, and level D indicates that physical limitations are minimal or non-existent. The + symbol also indicates that there is a risk of falling.
The exercises were selected by a consensus panel formed by professionals from the rehabilitation service of the Guadarrama Hospital when the Vivifrail program was implemented in the hospital in 2017. The selection was based on an evaluation of the most frequent levels of use of the Vivifrail MEP and the exercises considered easiest both in terms of physical execution and comprehension were selected. This protocol was applied with good results in patients with hip fracture and is the one used as usual in the physiotherapy service of the Guadarrama Hospital [24]
The MEP was carried out for 3 weeks (15 days), from Monday to Friday, with sessions lasting 40 min. In weeks 1 and 2, the exercises are those of an A+ patient and in week 3 the level of difficulty is increased with exercises for B+ patients.
Patients included in the program received the following physiotherapy treatment.
  • Week 1:
  • 1. Strength exercises: The patient performs seated exercise of flexion and extension of the arms with an elastic band in 2 series of 10 repetitions, holding for 5 s 2. Seated exercise: A diagonal opening of the arms by using an elastic band series of 10 repetitions, holding for 5 s. 3. Cardiovascular exercises: The cardiovascular exercise program should only be started when the elderly person has improved muscle strength, walking for 15 s and resting for 10 s, repeating 7 times. 4. Balance and walking: The patient stands near a table, a wall or a family member, placing the heel of one foot in contact with the toe of the other foot. This involves taking small steps in a straight line, placing the heel of the advancing foot just in front of the toe of the other foot. If the patient progresses in safety, it is placed on a table or railing, maintaining 10 s with each foot and repeats 3 times.
  • Week 2:
The same exercises as in week 1 were repeated by all patients, with increasing load.
  • 1. Strength exercises: Three sets of ten repetitions of all exercises, holding for 5 s. 2. Cardiovascular exercises: Walking 30 s and resting 20 s, repeating 5 times. 3. Balance and gait exercises: Holding 20 s with each foot, repeating 3 times.
  • Week 3:
  • 1. Strength exercises: Leg bending exercise without a chair standing behind a table. The patient begins by flexing the hips and knees as if he were going to sit down, then returns to the initial position, and if necessary, is helped by a chair behind him for safety, for 2 sets of 10 repetitions. In addition, the patient goes up and down stairs for 11 steps, repeating 2 times. 2. Cardiovascular exercises: The patient walks for 30 s and rests for 20 s, repeating 5 times. 3. Balance and walking exercises: The patient maintains balance on one leg and with arms crossed, holds for 10 s with each leg, repeating 2 times.

2.10. Statistical Analysis

For the statistical analysis, the R Ver. 3.5.1. (R Foundation for Statistical Computing, Institute for Statistics and Mathematics, Welthandelsplatz 1, 1020 Vienna, Austria) was used. The level of significance was established at p < 0.05. The distribution of quantitative variables, both baseline and outcome, was tested with the Kolmogorov–Smirnov test with Lilliefors correction which showed the non-normal distribution of all the result variables. The qualitative variables were described in absolute values and frequencies and the quantitative variables with mean and standard deviation. For the pre-post-intervention qualitative variables, a nominal symmetry test was used for related data, equivalent to the McNemar and McNemar–Bowker tests, due to the presence of asymmetric contingency tables or with cells with values equal to 0. In the variables with more than two categories, the corresponding post hoc tests with Bonferroni correction were performed. The Wilcoxon Signed-Rank test was applied to quantitative variables. The effect size in the quantitative variables was defined with the r statistic, as 0.1–0.4 (small), 0.4–0.6 (moderate), and >0.6 (large). The strength of association in the categorical variables was defined with Cohen’s G as <0.15 (small), 0.15–0.25 (moderate), and >0.25 (large). Likewise, the risk of falls was analyzed by using the cut-off points proposed for the total score of the Tinetti test of balance and gait and in the TUG test [25].

3. Results

Patient Flow and Principal Characteristics

A total of 101 patients participated with the eligibility criteria and were included in the MEP, balanced between 56 men (55.4%) and 45 women (44.6%) with an age of 73.09 ± 12.62 (54–93) years and a body mass index of 25.44 ± 4.05. The duration of the ICU stay was 19.74 ± 29.42 days. The main reason for admission was physical deterioration after pneumonia (49.5%) associated with a stay in the ICU (44.6%) and polyneuropathy of the critical patient (16.8%), with a history of arterial hypertension (61.4%), dyslipidemia (35.6%), diabetes mellitus (33.7%), obesity (18.8%), and heart failure (13.9%) (Table 1).
Significant changes occurred pre-post-treatment in the quantitative outcome variables, with significant moderate to large effect sizes. There were significant increases in the Short Physical Performance Battery (Z = 9.12, p < 0.001) with improvements in all items, Medical Research Council Sum Score (Z = 12.345, p < 0.001), Barthel Index Score (Z = 12.272, p < 0.001), Trunk Control Test (Z = 12.36, p < 0.001), Tinetti-POMA (Z = 12.293, p < 0.001) including the balance (Z = 12.11, p < 0.001), gait subscales (Z = 12.164, p < 0.001), and in the hand dynamometry (Z = 12.172, p < 0.001) (Table 2).
In the qualitative outcome variables, there were significant pre-post treatment changes in all except the Categorized Timed Up and Go test with large effect sizes. In the Short Physical Performance Battery items there were increases in the proportion of patients with long times in the bipedal position (Categorized Romberg’s test, Categorized Tandem test and Categorized Semitandem Test more than 9–10 s) and in the proportion of patients with lower times in the dynamic tests of the same (Categorized 4-Meter Walk Gait less than 4.82 s and Categorized Chair Stand test 11.20–16.69 s). There was also a decrease in the proportion of patients with a Vivifrail level A+ and a significant increase in those with a C and D levels. In the Categorized Barthel Index score, the proportion of patients with moderate to slight dependence or independent increased and the number of those who presented severe dependence or total dependence decreased (Table 3).
Regarding the risk of falls, there were significant changes pre-post-treatment in the risk level both measured with the Timed Up and Go test and with the Tinetti-POMA, increasing the proportion of patients with low to moderate risk or without risk and decreasing the most dependent or with high risk (Table 4).
The responders rate is clearly higher than that of non-responders in all tests and only a small number of worst responses at the end of the study are observed, less than 2% in variables, 2 (1.98%) patients in Tinetti–POMA and Timed Up and Go and 1 (0.99%) patient in SPPB and Barthel Index respectively (Figure 1).
Given the small number of patients affected and the heterogeneity of the 4 scales (SPPB, TUG, Tinetti–POMA and Barthel Index), we did not explore whether there were any common clinical features. None of them had myasthenia gravis, and this worse response indicates that in some scales these patients achieved worse scores compared to baseline.

4. Discussion

The results of the present study show the efficacy of the MEP at the pre-post assessment based on Vivifrail MEP on improving frailty in post-COVID-19 older adults after intensive care units. Moreover, less than 2% of patients present a worst response at the end of program and none of them discontinued it due to any adverse event, which gives the MEP the necessary safety to be applied in post-COVID-19 older adult patients, in addition to its low cost. To our knowledge, this is the first time that an analysis of the adverse effects of a MEP based on the Vivifrail MEP protocol has been performed, and research into its efficacy and safety in post-COVID 19 older adults should be further developed.
The results of the present study especially reflect a significant improvement in the functional ability to maintain balance and gait.
In relation to the functional variable (SPPB), a previous study developed by Udina et al. [26] applied a MEP based on strengthening, aerobic exercise, and balance for 10 days and found a clinically significant improvement of 2.5 points in the post-COVID-19 patients who did not come from an ICU and 3.7 points in the group of patients derived from an ICU. In our study, we found a similar improvement, also increasing by 2.5 points on average in this series of assessments of lower extremity function, although we applied 3 weeks of a MEP as opposed to only 10 days in the Udina et al. study. A previous study by Martínez–Velilla et al. [27] developed in 370 older adult patients hospitalised at acute care units have found similar results with MEP on the SPPB scale and on the Barthel Index in elderly patients but without post-COVID 19 syndrome, with respect to the usual care group. In a recent Delphi Expert Consensus and in a recent scoping review, developed rehabilitation recommendations that recommend exercise as one of the therapies to be used in post-COVID-19 patients [15,28] are discussed.
In the variable of basic activities of daily living we found an improvement of 33 points, and these data are higher than those found in the previous study by Udina et al., who found an improvement of 18 points [26]. These authors conducted a study on the treatment of 33 adult post-COVID-19 patients by using a protocol very similar to the present study, together with combined resistance and endurance and balance training, but applied 7 days a week, for an average of 8.2 ± 1.7 days. This difference may be due to the fact that MEP lasted 3 weeks in the present study, twice as long as in the Udina et al. study, and the more medium-term effects of MEP may have influenced this.
The Vivifrail MEP has demonstrated short-term efficacy (4 weeks) in sarcopenic, frail, and institutionalized older adults, with health improvements being maintained after 14 weeks of inactivity due to COVID-19 confinement, and may have prevented severe functional decline and loss of strength [29]. Similar to the present study, the Vivifrail MEP has demonstrated efficacy as a treatment for dinapenia and dependence in ambulatory older women, significantly improving their functionality in muscle strength, gait speed (3 mt and 6 mt), Chair Stand, and TUG tests [30]. In addition, the Vivifrail MEP has demonstrated efficacy and safety in improving measures of physical/cognitive functioning and quality of life in older adults with non-small-cell lung cancer as an adjuvant or palliative treatment [31]. Apostolo et al. [32] demonstrate clear evidence for the utility of exercise therapy interventions to treat frailty, also from an economic perspective. Compared to usual care, Apostolo’s interventions provided better value for the money, and had favorable effects on some of the frailty-related outcomes in inpatient and outpatient management without increasing costs, supporting the clinical investment of resources in frailty interventions.
In relation to walking speed measured with the TUG test, we found an improvement of 8 s on average at the end of treatment with the MEP. Although there are no previous studies in patients with COVID-19 with which we can compare this parameter of functionality, in a study by Romero–García et al. [29] in which they applied similar MEP but in elderly people with dynapemia, they found an improvement in the TUG test of 2 s on average. However, their patients started the treatment with a walking speed of 10.14 s on average, which is much lower than the speed they had in our sample of 23.43 s at baseline. This was more than in our study, which only lasted 3 weeks, as compared to Romero–Garcia et al. who did 12 weeks.
Regarding the most effective dose of MEP to curb the effect of hospitalization in older adults, Echeverria et al. [33] determined that after 6 weeks of intervention through MEP, functional and nutritional benefits similar to those obtained in a group of older adults who performed the same exercise protocol for 12 weeks were generated. In the present study, the MEP lasted 3 weeks, sufficient time to obtain statistically significant improvements and effect sizes in the physical variables measured, which invites future research to find the appropriate dose in older adult post-COVID-19.
Courel–Ibañez et al. [12] suggest that to prevent our older adults from a significant functional decline, an intervention of at least 4 weeks, 3 times a year (avoiding more than 14 weeks of inactivity between periods) will be determinant.
Sáez de Asteasu et al. [34] examined individual response by comparing usual care with a Vivifrail MEP programme in older adult patients hospitalized in the acute unit, presenting a higher prevalence of responders and a lower prevalence of non-responders and worst responders for functional capacity, muscle strength, and cognitive function in the Vivifrail MEP group. Of great importance is the association that this group of researchers found between presenting a worst response in functional capacity to physical exercise or usual care during hospitalization and mortality at 1 year after discharge. In the present study, we found only 1–2% of worst responders, 3–34% of non-responders, and 65–95% of responders for the variables Short Physical Performance Battery score, TUG and Tinetti tests, and Barthel Index score. According to other studies, these results suggest not only an improvement in frailty, but also a prevention of mortality in almost all of the post-COVID-19 older adult patients included in the present study [35,36,37].
It appears that exercise therapy is effective as a treatment in post-COVID-19 patients, as demonstrated in studies such as that of Daynes et al. [38], using a two session per week, six-week rehabilitation program of aerobic exercise (walking), and upper and lower limb strength training found that improvements in exercise capacity and symptoms of dyspnea, fatigue, and cognition in post-COVID-19 patients. However, in the present study, it can be observed that by introducing a MEP through a three-week intervention, which is based on the training of different parameters and physical qualities through strength exercises, cardiovascular exercises, balance and gait, improvements are achieved that really make an impact on fragility by improving functional capacity, balance, and ability in basic activities of daily living.
The lack of information related to all fields of post-COVID-19 infection rehabilitation creates the need for a broad collaborative network to provide urgent answers related to this disease.
Although the benefits of regular therapeutic exercise as a multisystem anti-aging agent are already known, more research is needed to understand and implement effective therapeutic exercise interventions for post-COVID-19 older adults [39].
Furthermore, considering that global healthcare spending is expected to continue to grow, but that the available budget in countries is uneven, the development of economical and effective therapies such as the MEP is well suited to address many of the post-COVID-19 neuromusculoskeletal sequelae in the case of patients living in more vulnerable countries [40].

4.1. Limitations

A major limitation was that the sample size of post-COVID-19 older adults in the study was small and heterogeneous, given that a clinical study of 101 cases was presented. Another important limitation is that no control or placebo group was included to compare with the natural evolution or with other interventions as well as to know the specific effect of this MEP.
Finally, although there is an inherent bias in the quality of information that exists in any retrospective study design, this bias has been minimized in the present study by using a very complete and reliable data source.

4.2. Clinical Implications

According to a recent systematic review and meta-analysis, these results can clarify that low load exercises have been shown to produce considerable improvements in strength [41]. This is important because the exercises included are of low intensity and, on the one hand, that people with post-COVID-19 syndrome are more reluctant to exercise due to fatigue and low exercise intolerance. These programs can be an interesting way for these patients to obtain functional improvements. On the other hand, the implementation of exercise programs has been shown to reduce the risk of acquiring infectious diseases and even mortality from infectious diseases and therefore may act as a preventive method to reduce the risk of re-infection [42].

5. Conclusions

Supervised and personalized MEP (Vivifrail) in older adult survivors of COVID-19 showed positive effects in a pre-post evaluation, having significant effects and lower worse responses in improving frailty. In addition, it can improve functional capacity, balance, and ability in the basic activities of daily living.

Author Contributions

Conceptualization, J.F.-C. and J.N.C.-Z.; methodology, J.F.-C., J.N.C.-Z. and E.A.S.-R.; software, J.F.-C.; validation, all authors; formal analysis, J.N.C.-Z., J.F.-C. and C.B.C. investigation, all authors.; resources, J.N.C.-Z. and Á.M.A.; data curation, J.F.-C., J.N.C.-Z. and C.B.C.; writing—original draft preparation, all authors.; writing—review and editing, J.N.C.-Z., J.F.-C., E.A.S.-R., J.H.V. and C.B.C.; visualization, J.F.-C., E.A.S.-R. and J.N.C.-Z.; supervision, all authors; project administration, J.N.C.-Z. and J.F.-C.; funding acquisition, J.N.C.-Z. All authors have read and agreed to the published version of the manuscript.

Funding

The APC was funded by Fundación de Investigation Biomedica del Hospital Puerta de Hierro de Majadahonda, C/Joaquín Rodrigo 2, Edif Laboratorios, Planta 0, 28222, Madrid.

Institutional Review Board Statement

For the review of Clinical Histories and data explotation, approval was obtained from the Guadarrama Hospital Center Management and with the approval of the Research Ethics Committee of the Hospital Universitario Puerta de Hierro de Majadahonda, Madrid (November-24-2021). At all times the confidentiality of the information was preserved, making responsible use of the data, as established by current Spanish regulations and in accordance with the Declaration of Helsinki.

Informed Consent Statement

It was not necessary to ask patients to sign a consent form as the Ethics Committee did not consider it necessary since this was a retrospective study limited to the secondary use of information previously obtained in the course of routine medical care performed by the same professional team responsible for the care.

Data Availability Statement

The data presented in this study are available on request from the corresponding authors. The data are not publicly available due to ethical restrictions.

Acknowledgments

To patients for their participation. This study was supported by the Italian Ministry of Health—Ricerca Corrente 2021.

Conflicts of Interest

The authors certify that they have no affiliations with or financial involvement in any organization or entity with a direct financial interest in the subject matter or materials discussed in the article. The authors declare no conflict of interest.

References

  1. Shahid, Z.; Kalayanamitra, R.; McClafferty, B.; Kepko, D.; Ramgobin, D.; Patel, R.; Aggarwal, C.S.; Vunnam, R.; Sahu, N.; Bhatt, D.; et al. COVID-19 and Older Adults: What We Know. J. Am. Geriatr. Soc. 2020, 68, 926–929. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Lozano-Montoya, I.; Quezada-Feijoo, M.; Jaramillo-Hidalgo, J.; Garmendia-Prieto, B.; Lisette-Carrillo, P.; Gómez-Pavón, F.J. Mortality risk factors in a Spanish cohort of oldest-old patients hospitalized with COVID-19 in an acute geriatric unit: The OCTA-COVID study. Eur. Geriatr. Med. 2021, 12, 1169–1180. [Google Scholar] [CrossRef]
  3. Pedersini, P.; Corbellini, C.; Villafañe, J.H. Italian Physical Therapists’ Response to the Novel COVID-19 Emergency. Phys. Ther. 2020, 100, 1049–1051. [Google Scholar] [CrossRef]
  4. Pancera, S.; Galeri, S.; Porta, R.; Pietta, I.; Bianchi, L.N.C.; Carrozza, M.C.; Villafañe, J.H. Feasibility and Efficacy of the Pulmonary Rehabilitation Program in a Rehabilitation Center: Case Report of A Young Patient Developing Severe COVID-19 Acute Respiratory Distress Syndrome. J. Cardiopulm. Rehabil. Prev. 2020, 40, 206–208. [Google Scholar] [CrossRef] [PubMed]
  5. Greco, G.I.; Noale, M.; Trevisan, C.; Zatti, G.; Pozza, M.D.; Lazzarin, M.; Haxhiaj, L.; Ramon, R.; Imoscopi, A.; Bellon, S.; et al. Increase in Frailty in Nursing Home Survivors of Coronavirus Disease 2019: Comparison With Noninfected Residents. J. Am. Med. Dir. Assoc. 2021, 22, 943. [Google Scholar] [CrossRef] [PubMed]
  6. Pancera, S.; Bianchi, L.N.C.; Porta, R.; Galeri, S.; Carrozza, M.C.; Villafañe, J.H. Feasibility of subacute rehabilitation for mechanically ventilated patients with COVID-19 disease: A retrospective case series. Int. J. Rehabil. Res. Int. Z. Rehabil. Rev. Int. Rech. Readapt. 2021, 44, 77–81. [Google Scholar] [CrossRef] [PubMed]
  7. Kirwan, R.; McCullough, D.; Butler, T.; Perez de Heredia, F.; Davies, I.G.; Stewart, C. Sarcopenia during COVID-19 lockdown restrictions: Long-term health effects of short-term muscle loss. Geroscience 2020, 42, 1547–1578. [Google Scholar] [CrossRef]
  8. Bektas, A.; Schurman, S.H.; Franceschi, C.; Ferrucci, L. A public health perspective of aging: Do hyper-inflammatory syndromes such as COVID-19, SARS, ARDS, cytokine storm syndrome, and post-ICU syndrome accelerate short- And long-term inflammaging? Immun. Ageing 2020, 17, 23. [Google Scholar] [CrossRef] [PubMed]
  9. Zeng, B.; Chen, D.; Qiu, Z.; Zhang, M.; Wang, G.; Rehabilitation Group of Geriatric Medicine Branch of Chinese Medical Association; Division of Management of Medical Rehabilitation Institution of Chinese Hospital Association; Rehabilitation Institution Management Division of Chinese Rehabilitation Medical Association; Division of Rehabilitation Psychology; Chinese Psychological Association; et al. Expert consensus on protocol of rehabilitation for COVID-19 patients using framework and approaches of WHO International Family Classifications. Aging Med. Milton. 2020, 3, 82–94. [Google Scholar] [CrossRef] [PubMed]
  10. Grund, S.; Caljouw, M.A.A.; Haaksma, M.L.; Gordon, A.L.; van Balen, R.; Bauer, J.M.; Schols, J.M.G.A.; Achterberg, W.P.; COGER-Study Subgroup of the EUGMS-SIG on GR. Pan-European Study on Functional and Medical Recovery and Geriatric Rehabilitation Services of Post-COVID-19 Patients: Protocol of the EU-COGER Study. J. Nutr. Health Aging 2021, 25, 668–674. [Google Scholar] [CrossRef] [PubMed]
  11. Casas-Herrero, A.; Anton-Rodrigo, I.; Zambom-Ferraresi, F.; Sáez De Asteasu, M.L.; Martinez-Velilla, N.; Elexpuru-Estomba, J.; Marin-Epelde, I.; Ramon-Espinoza, F.; Petidier-Torregrosa, R.; Sanchez-Sanchez, J.L.; et al. Effect of a multicomponent exercise programme (VIVIFRAIL) on functional capacity in frail community elders with cognitive decline: Study protocol for a randomized multicentre control trial. Trials 2019, 20, 362. [Google Scholar] [CrossRef]
  12. Courel-Ibáñez, J.; Buendía-Romero, Á.; Pallarés, J.G.; García-Conesa, S.; Martínez-Cava, A.; Izquierdo, M. Impact of Tailored Multicomponent Exercise for Prevent Weakness and Falls on Nursing Home Residents’ Functional Capacity. J. Am. Med. Dir. Assoc. 2021, 23, 98–104. [Google Scholar] [CrossRef] [PubMed]
  13. Geneen, L.J.; Moore, R.A.; Clarke, C.; Martin, D.; Colvin, L.A.; Smith, B.H. Physical activity and exercise for chronic pain in adults: An overview of Cochrane Reviews. Cochrane Database Syst. Rev. 2017, 4, CD011279. [Google Scholar] [PubMed] [Green Version]
  14. Nurek, M.; Rayner, C.; Freyer, A.; Taylor, S.; Järte, L.; MacDermott, N.; Delaney, B.C. Delphi panellists. Recommendations for the recognition; diagnosis; and management of long COVID: A Delphi study. Br. J. Gen. Pract. 2021, 71, e815–e825. [Google Scholar] [CrossRef]
  15. von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. J. Clin. Epidemiol. 2008, 61, 344–349. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Olsen, C.F.; Bergland, A. Reliability of the Norwegian version of the short physical performance battery in older people with and without dementia. BMC Geriatr. 2017, 17, 124. [Google Scholar] [CrossRef] [PubMed]
  17. Timed “Up & Go” Test: Reliability in Older People Dependent in Activities of Daily Living—Focus on Cognitive State—PubMed. Phys. Ther. 2006, 86, 646–655.
  18. Farriols, C.; Bajo, L.; Muniesa, J.M.; Escalada, F.; Miralles, R. Functional decline after prolonged bed rest following acute illness in elderly patients: Is trunk control test (TCT) a predictor of recovering ambulation? Arch. Gerontol. Geriatrics 2009, 49, 409–412. [Google Scholar] [CrossRef]
  19. Sterke, C.S.; Huisman, S.L.; Van Beeck, E.F.; Looman, C.W.N.; Van Der Cammen, T.J.M. Is the Tinetti Performance Oriented Mobility Assessment (POMA) a feasible and valid predictor of short-term fall risk in nursing home residents with dementia? Int. Psychogeriatr. 2010, 22, 254–263. [Google Scholar] [CrossRef] [PubMed]
  20. Bouwstra, H.; Smit, E.B.; Wattel, E.M.; van der Wouden, J.C.; Hertogh, C.M.P.M.; Terluin, B.; Terwee, C.B. Measurement Properties of the Barthel Index in Geriatric Rehabilitation. J. Am. Med. Dir. Assoc. 2019, 20, 420–425. [Google Scholar] [CrossRef] [PubMed]
  21. Hermans, G.; Clerckx, B.; Vanhullebusch, T.; Segers, J.; Vanpee, G.; Robbeets, C.; Casaer, M.P.; Wouters, P.; Gosselink, P.; Van Den Berghe, G. Interobserver agreement of medical research council sum score and handgrip strength in the intensive care unit. Muscle Nerve 2012, 45, 18–25. [Google Scholar] [CrossRef] [PubMed]
  22. Villafañe, J.H.; Valdes, K.; Vanti, C.; Pillastrini, P.; Borboni, A. Reliability of handgrip strength test in elderly subjects with unilateral thumb carpometacarpal osteoarthritis. Hand 2015, 10, 205–209. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Villafañe, J.H.; Valdes, K.; Buraschi, R.; Martinelli, M.; Bissolotti, L.; Negrini, S. Reliability of the Handgrip Strength Test in Elderly Subjects With Parkinson Disease. Hand 2016, 11, 54–58. [Google Scholar] [CrossRef] [Green Version]
  24. Zaldívar, C.; Nicolas, J.; Acevedo, A.M.; Caballero Nahúm, M.; Fernández-Carnero, J. Application of a Multicomponent Exercise Program on Functional Capacity in Hip Fractures in Hospitalized Older Adults. Top. Geriatr. Rehabil. 2021, 37, 252–260. [Google Scholar] [CrossRef]
  25. Bohannon, R.W. Reference values for the timed up and go test: A descriptive meta-analysis. J. Geriatr. Phys. Ther. 2006, 29, 64–68. [Google Scholar] [CrossRef] [Green Version]
  26. Udina, C.; Ars, J.; Morandi, A.; Vilaró, J.; Cáceres, C.; Inzitari, M. Rehabilitation in adult post-COVID-19 patients in post-acute care with Therapeutic Exercise. J. Frailty Aging 2021, 10, 297–300. [Google Scholar] [CrossRef] [PubMed]
  27. Izquierdo, M.; Martínez-Velilla, N.; Casas-Herrero, A.; Zambom-Ferraresi, F.; Sáez De Asteasu, M.L.; Lucia, A. Effect of Exercise Intervention on Functional Decline in Very Elderly Patients During Acute Hospitalization: A Randomized Clinical Trial. JAMA Intern. Med. 2019, 179, 28–36. [Google Scholar]
  28. Negm, A.M.; Salopek, A.; Zaide, M.; Meng, V.J.; Prada, C.; Chang, Y.; Zanwar, P.; Santos, F.H.; Philippou, E.; Rosario, E.R.; et al. Rehabilitation at the Time of Pandemic: Patient Journey Recommendations. Front. Aging Neurosci. 2022, 14, 781226. [Google Scholar] [CrossRef]
  29. Courel-Ibáñez, J.; Pallarés, J.G.; García-Conesa, S.; Buendía-Romero, Á.; Martínez-Cava, A.; Izquierdo, M. Supervised Exercise (Vivifrail) Protects Institutionalized Older Adults Against Severe Functional Decline After 14 Weeks of COVID Confinement. J. Am. Med. Dir. Assoc. Elsevier Inc. 2021, 22, 217–219. [Google Scholar] [CrossRef]
  30. Romero-García, M.; López-Rodríguez, G.; Henao-Morán, S.; González-Unzaga, M.; Galván, M. Effect of a Multicomponent Exercise Program (VIVIFRAIL) on Functional Capacity in Elderly Ambulatory: A Non-Randomized Clinical Trial in Mexican Women with Dynapenia. J. Nutr. Health Aging 2021, 25, 148–154. [Google Scholar] [CrossRef]
  31. Rosero, I.D.; Ramírez-Vélez, R.; Martínez-Velilla, N.; Cedeño-Veloz, B.A.; Morilla, I.; Izquierdo, M. Effects of a Multicomponent Exercise Program in Older Adults with Non-Small-Cell Lung Cancer during Adjuvant/Palliative Treatment: An Intervention Study. J. Clin. Med. 2020, 9, 862. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Apóstolo, J.; Cooke, R.; Bobrowicz-Campos, E.; Santana, S.; Marcucci, M.; Cano, A. Effectiveness of interventions to prevent pre-frailty and frailty progression in older adults: A systematic review. JBI Database of Systematic Reviews and Implementation Reports. Joanna Briggs Inst. 2018, 16, 140–232. [Google Scholar]
  33. Echeverria, I.; Amasene, M.; Urquiza, M.; Labayen, I.; Anaut, P.; Rodriguez-Larrad, A.; Irazusta, J.; Besga, A. Multicomponent physical exercise in older adults after hospitalization: A randomized controlled trial comparing short-vs. long-term group-based interventions. Int. J. Environ. Res. Public Health 2020, 17, 666. [Google Scholar] [CrossRef] [Green Version]
  34. Sáez de Asteasu, M.L.; Martínez-Velilla, N.; Zambom-Ferraresi, F.; Casas-Herrero, Á.; Cadore, E.L.; Ramirez-Velez, R.; Izquierdo, M. Inter-individual variability in response to exercise intervention or usual care in hospitalized older adults. J. Cachexia Sarcopenia Muscle 2019, 10, 1266–1275. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Dugravot, A.; Fayosse, A.; Dumurgier, J.; Bouillon, K.; Rayana, T.B.; Schnitzler, A.; Kivimaki, M.; Sabia, S.; Singh-Manoux, A. Social inequalities in multimorbidity; frailty; disability; and transitions to mortality: A 24-year follow-up of the Whitehall II cohort study. Lancet Public Health 2020, 5, e42–e50. [Google Scholar] [CrossRef] [Green Version]
  36. Navarrete-Villanueva, D.; Gómez-Cabello, A.; Marín-Puyalto, J.; Moreno, L.A.; Vicente-Rodríguez, G.; Casajús, J.A. Frailty and Physical Fitness in Elderly People: A Systematic Review and Meta-analysis. Sports Med. 2021, 51, 143–160. [Google Scholar] [CrossRef]
  37. Binotto, M.A.; Lenardt, M.H.; Rodríguez-Martínez, M.D.C. Physical frailty and gait speed in community elderly: A systematic review. Rev. Esc. Enferm. USP 2018, 52, e03392. [Google Scholar]
  38. Daynes, E.; Gerlis, C.; Chaplin, E.; Gardiner, N.; Singh, S.J. Early experiences of rehabilitation for individuals post-COVID to improve fatigue; breathlessness exercise capacity and cognition—A cohort study. Chron. Respir. Dis. 2021, 18, 14799731211015691. [Google Scholar] [CrossRef]
  39. Garatachea, N.; Pareja-Galeano, H.; Sanchis-Gomar, F.; Santos-Lozano, A.; Fiuza-Luces, C.; Morán, M.; Emanuele, E.; Joyner, M.J.; Lucia, A. Exercise attenuates the major hallmarks of aging. Rejuvenation Res. 2015, 18, 57–89. [Google Scholar] [CrossRef] [Green Version]
  40. Micah, A.E.; Cogswell, I.E.; Cunningham, B.; Ezoe, S.; Harle, A.C.; Maddison, E.R.; McCracken, D.; Nomura, S.; Simpson, K.E.; Stutzman, H.N.; et al. Tracking development assistance for health and for COVID-19: A review of development assistance government; out-of-pocket; and other private spending on health for 204 countries and territories; 1990–2050. Lancet 2021, 398, 1317–1343. [Google Scholar] [CrossRef]
  41. Vieira, A.F.; Umpierre, D.; Teodoro, J.L.; Lisboa, S.C.; Baroni, B.M.; Izquierdo, M.; Cadore, E.L. Effects of Resistance Training Performed to Failure or Not to Failure on Muscle Strength; Hypertrophy; and Power Output: A Systematic Review With Meta-Analysis. J. Strength Cond Res. 2021, 35, 1165–1175. [Google Scholar] [CrossRef] [PubMed]
  42. Chastin, S.F.M.; Abaraogu, U.; Bourgois, J.G.; Dall, P.M.; Darnborough, J.; Duncan, E.; Dumortier, J.; Pavón, D.J.; McParland, J.; Roberts, N.J.; et al. Effects of Regular Physical Activity on the Immune System; Vaccination and Risk of Community-Acquired Infectious Disease in the General Population: Systematic Review and Meta-Analysis. Sports Med. 2021, 51, 1673–1686. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Responders and non-responders rate.
Figure 1. Responders and non-responders rate.
Biology 11 01084 g001
Table 1. Patients’ baseline demographic and clinical characteristics.
Table 1. Patients’ baseline demographic and clinical characteristics.
N 101
Age 73.09 ± 12.62
Height (cm) 164.73 ± 17.39
Weight (kg) 70.51 ± 14.11
Body Mass Index 25.44 ± 4.05
Days in intensive care unit 19.74 ± 29.42
Previous falls * 0.37 ± 0.82
Previous falls with admission * 0.22 ± 0.56
Fall risk with previous fallsWithout risk32 (31.7%)
With risk69 (68.3%)
Fall risk with previous falls with admissionWithout risk79 (78.2%)
With risk22 (21.8%)
SexMale56 (55.4%)
Female45 (44.6%)
Mild dementiaNo101 (100.0%)
DominanceRight101 (100.0%)
Central Sensitization Inventory B score (CSIB) **
 Restless legsNo100 (99.0%)
Yes1 (1.0%)
 Chronic fatigueNo97 (96.0%)
Yes4 (4.0%)
 FibromyalgiaNo99 (98.0%)
Yes1 (1.0%)
 Disorders in the temporomandibular jointNo100 (99.0%)
Yes1 (1.0%)
 Irritable colonNo99 (98.0%)
Yes2 (2.0%)
 Chemical sensitivity ***No100 (99.0%)
Yes1 (1.0%)
 Cervical injuryNo100 (99.0%)
Yes1 (1.0%)
 DiagnosticsCure for pressure ulcer in the sacrum18 (17.8%)
Physical deterioration after pneumonia95 (94%)
Hip fracture9 (8.9%)
Stroke5 (5%)
Critical patient polyneuropathy17 (16.8%)
 Clinical historyIschemic heart disease13 (12.9%)
Diabetes mellitus34 (33.7%)
Dyslipidemia36 (35.6%)
Smoker15 (14.9%)
Arterial hypertension62 (61.4%)
Heart failure14 (13.9%)
Obesity19 (18.8%)
* Previous falls: previous falls in the past year; previous falls with admission: previous falls in the past year with hospital admission. ** Refers to previous history, not to the current COVID-19 episode *** Multiple chemical sensitivity: It is an acquired, chronic disorder characterized by the appearance of recurrent symptoms in response to exposure to chemical compounds at concentrations that are not considered toxic to the general population. It is usually related to the following symptoms: difficulty breathing, fatigue, dizziness, allergies, itching, nausea, fainting and cardiovascular alterations. Data expressed with mean ± standard deviation or with absolute and relative values (%).
Table 2. Quantitative outcome variables.
Table 2. Quantitative outcome variables.
PretreatmentPostreatmentAverage Difference (95%CI)p Value ar (95%CI)
n101101
Barthel Index score31.29 ± 23.4763.86 ± 28.6333.333 (25.326, 41.257)<0.0010.859 (0.838, 0.869)
Romberg’s test (s)18.53 ± 15.1727.38 ± 18.209.853 (7.456, 13.21)<0.0010.754 (0.659, 0.819)
Semitandem test (s)18.79 ± 13.7120.49 ± 14.716.161 (4.162, 8.332)<0.0010.563 (0.456, 0.646)
Tandem test (s)13.14 ± 10.3714.43 ± 9.936.605 (4.485, 9.804)<0.0010.416 (0.26, 0.508)
Chair Stand test (s)24.47 ± 13.2517.38 ± 10.88−7.016 (−11.39, −3.248)<0.0010.535 (0.451, 0.614)
4-Meter Walk Gait Speed test (s)16.04 ± 9.6511.60 ± 9.42−3.834 (−7.062, −0.964)<0.0010.673 (0.597, 0.734)
Timed Up and Go test (s)23.43 ± 12.5616.44 ± 12.23−8.024 (−12.026, −4.683)<0.0010.701 (0.642, 0.757)
Medical Research Council Sum Score44.26 ± 12.3454.99 ± 6.539.625 (7.333, 12.096)<0.0010.791 (0.705, 0.854)
Handgrip strength (kg)8.21 ± 5.5311.79 ± 5.903.772 (2.783, 4.671)<0.0010.847 (0.803, 0.868)
Trunk Control Test score65.87 ± 26.1787.16 ± 19.1518.75 (12.099, 25.201)<0.0010.754 (0.655, 0.83)
Tineti Balance score7.21 ± 4.3312.08 ± 3.072.875 (1.631, 4.512)<0.0010.856 (0.837, 0.868)
Tinetti Gait score6.36 ± 3.059.77 ± 2.072.583 (1.631, 3.626)<0.0010.853 (0.823, 0.87)
Tinetti-POMA total score13.56 ± 7.0121.85 ± 4.745.458 (3.5, 7.851)<0.0010.862 (0.849, 0.868)
Functional Gait Index score2.73 ± 0.964.63 ± 1.452.25 (1.833, 2.679)<0.0010.873 (0.864, 0.88)
Short Physical Performance Battery score3.08 ± 3.076.59 ± 3.422.583 (1.607, 3.292)<0.0010.865 (0.854, 0.872)
Data expressed with mean ± standard deviation or with absolute and relative values (%). 95%CI: 95% confidence interval. r: non parametric effect size. a significative if p < 0.05.
Table 3. Qualitative outcome variables.
Table 3. Qualitative outcome variables.
PretreatmentPostreatmentp Value aCohen’s G
n 101101
Categorized Romberg’s test (s)<10 s47 (46.5%)14 (13.9%)<0.0010.5
>10 s54 (53.5%)87 (86.1%)
Categorized semitandem test (s)<10 s65 (64.4%)38 (37.6%)<0.0010.5
>10 s36 (35.6%)63 (62.4%)
Categorized tandem test (s)<3 s72 (71.3%)31 (30.7%)<0.0010.5
3.1–9 s11 (10.9%)20 (19.8%)
>9 s18 (17.8%)50 (49.5%)
Categorized 4-Meter Walk Gait Speed test (s)Unable57 (56.4%)24 (23.8%)<0.0010.457
<8.71 s29 (28.7%)29 (28.7%)
6.20–8.7 s5 (5.0%)7 (6.9%)
4.83–6.20 s4 (4.0%)17 (16.8%)
<4.82 s6 (5.9%)24 (23.8%)
Categorized Chair Stand test (s)Unable32 (31.7%)0 (0.0%)<0.0010.487
>16.7 s48 (47.5%)38 (37.6%)
13.70–16.69 s14 (13.9%)29 (28.7%)
11.20–13.69 s5 (5.0%)26 (25.7%)
<11.19 s2 (2.0%)8 (7.9%)
Categorized Timed Up and Go test (s)Without risk83 (82.2%)84 (83.2%)10.5
With risk18 (17.8%)17 (16.8%)
Vivifrail fragility levelA5 (5.0%)4 (4.0%)<0.0010.5
A+58 (57.4%)21 (20.8%)
B8 (7.9%)14 (13.9%)
B+15 (14.9%)10 (9.9%)
C9 (8.9%)22 (21.8%)
C+2 (2.0%)4 (4.0%)
D4 (4.0%)22 (21.8%)
D+0 (0.0%)4 (4.0%)
Categorized Barthel Index scoreIndependent (100 points)0 (0.0%)11 (10.9%)
Slight dependency (91–99 points)0 (0.0%)10 (9.9%)<0.0010.5
Moderate dependency (61–90 points)12 (11.9%)35 (34.7%)
Severe dependency (21–60 points)45 (44.6%)33 (32.7%)
Total dependency (0–20 points)44 (43.6%)12 (11.9%)
Data expressed with absolute and relative values (%). a significative if p < 0.05.
Table 4. Risk of falls.
Table 4. Risk of falls.
PretreatmentPostreatmentp Value a Cohen’s G
n 101101
Tinetti–POMA riskHigh risk76 (75.2%)27 (26.7%)<0.0010.484
Moderate risk17 (16.8%)32 (31.7%)
Low risk8 (7.9%)42 (41.6%)
Timed Up and Go test (s) riskFrail adult (14–24 s)19 (18.8%)14 (13.9%)<0.0010.484
Ambulation with technical assistance and dependent on ADLs (>30 s)49 (48.5%)16 (15.8%)
Post-hip surgery (24–30 s)12 (11.9%)7 (6.9%)
No risk (<14 s)21 (20.8%)64 (63.4%)
Data expressed with absolute and relative values (%).
ADLs: Daily Life Activities.
a significative if p < 0.05.
Data expressed with absolute and relative values (%). ADLs: Daily life activities. a significative if p < 0.05.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Cuenca-Zaldivar, J.N.; Monroy Acevedo, Á.; Fernández-Carnero, J.; Sánchez-Romero, E.A.; Villafañe, J.H.; Barragán Carballar, C. Effects of a Multicomponent Exercise Program on Improving Frailty in Post-COVID-19 Older Adults after Intensive Care Units: A Single-Group Retrospective Cohort Study. Biology 2022, 11, 1084. https://doi.org/10.3390/biology11071084

AMA Style

Cuenca-Zaldivar JN, Monroy Acevedo Á, Fernández-Carnero J, Sánchez-Romero EA, Villafañe JH, Barragán Carballar C. Effects of a Multicomponent Exercise Program on Improving Frailty in Post-COVID-19 Older Adults after Intensive Care Units: A Single-Group Retrospective Cohort Study. Biology. 2022; 11(7):1084. https://doi.org/10.3390/biology11071084

Chicago/Turabian Style

Cuenca-Zaldivar, Juan Nicolás, Álvaro Monroy Acevedo, Josué Fernández-Carnero, Eleuterio A. Sánchez-Romero, Jorge Hugo Villafañe, and Carlos Barragán Carballar. 2022. "Effects of a Multicomponent Exercise Program on Improving Frailty in Post-COVID-19 Older Adults after Intensive Care Units: A Single-Group Retrospective Cohort Study" Biology 11, no. 7: 1084. https://doi.org/10.3390/biology11071084

APA Style

Cuenca-Zaldivar, J. N., Monroy Acevedo, Á., Fernández-Carnero, J., Sánchez-Romero, E. A., Villafañe, J. H., & Barragán Carballar, C. (2022). Effects of a Multicomponent Exercise Program on Improving Frailty in Post-COVID-19 Older Adults after Intensive Care Units: A Single-Group Retrospective Cohort Study. Biology, 11(7), 1084. https://doi.org/10.3390/biology11071084

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop