Next Article in Journal
Breast Cancer Survivors Undergoing Endocrine Therapy Have a Worrying Risk Factor Profile for Cardiovascular Diseases
Next Article in Special Issue
Mapping Health-Related Quality of Life, Anxiety, and Depression in Patients with Head and Neck Cancer Diagnosed with Malnutrition Defined by GLIM
Previous Article in Journal
Dietary Fibre Intake in Type 2 and New-Onset Prediabetes/Diabetes after Acute Pancreatitis: A Nested Cross-Sectional Study
Previous Article in Special Issue
Nutritional Management Enhances the Recovery of Swallowing Ability in Older Patients with Sarcopenic Dysphagia
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

COVID-19 Infection-Related Weight Loss Decreases Eating/Swallowing Function in Schizophrenic Patients

1
Division of Clinical Oral Rehabilitation, Graduate School of Life Dentistry, The Nippon Dental University, Tokyo 184-0011, Japan
2
Tama Oral Rehabilitation Clinic, The Nippon Dental University School of Life Dentistry, Tokyo 184-0011, Japan
3
Department of Oral and Maxillofacial Surgery, The Nippon Dental University Hospital, Tokyo 102-8158, Japan
4
Musashino Central Hospital, Tokyo 184-8585, Japan
*
Author to whom correspondence should be addressed.
Nutrients 2021, 13(4), 1113; https://doi.org/10.3390/nu13041113
Submission received: 30 January 2021 / Revised: 5 March 2021 / Accepted: 25 March 2021 / Published: 29 March 2021
(This article belongs to the Special Issue Impact of Malnutrition upon Healthcare and Clinical Outcomes)

Abstract

:
Background: In older people with psychoneurological diseases, COVID-19 infection may be associated with a risk of developing or exacerbating dysphagia. The aim of the present study was to examine the relationship between eating/swallowing function and COVID-19 infection. Methods: Subjects were 44 inpatients with confirmed COVID-19 infection being treated for schizophrenia in a psychiatric ward. Eating function was assessed using the Food Intake Level Scale (FILS) before and after infection. We also evaluated age, comorbidities, COVID-19 hospital stay, obesity index, weight loss rate, and chlorpromazine equivalent. Results: Subjects had a mean age of 68.86 years. Pre-infection, 20 subjects had a FILS score of 7–9 (presence of eating/swallowing disorder) and 24 subjects had a score of 10 (normal). Eating function after infection resolution showed decreasing FILS score compared to that before infection in 14 subjects (74.14 years). Six subjects (79.3 years) transitioned from oral feeding to parenteral feeding. A ≥ 10% weight loss during infection treatment was significantly associated with decreased eating function and a transition to parenteral feeding. Chlorpromazine equivalents, comorbidities, and number of days of hospitalization showed no associations with decreased eating function. Conclusions: Preventing malnutrition during treatment for COVID-19 infection is important for improving post-infection life prognosis and maintaining quality of life (QOL).

1. Introduction

The COVID-19 pandemic has caused more than 70 million infections and more than 1.6 million deaths as of December 2020. Globally, around 20 million people are thought to be suffering from schizophrenia and receiving pharmacotherapy and/or psychosocial intervention [1]. The prevalence of COVID-19 is known to be high among patients with psychiatric diseases such as schizophrenia [2], with this high prevalence attributed to difficulties in various tasks and behaviors that are important for reducing infection risks, such as hand washing, social distancing, and quarantine [3,4]. Moreover, the prognosis of COVID-19 patients is known to be worse among individuals with psychiatric diseases than among those without such diseases [5]. Dysphagia appears commonly in schizophrenic patients [6].
SARS-CoV-2, the causative pathogen for COVID-19, is known to be neurotropic and neuroinvasive [7] and is thus likely to have effects on swallowing function. Furthermore, various psychiatric symptoms have been reported in patients during hospital admission for treatment of COVID-19 infection while receiving treatment with medications including antipsychotics [8], which may also greatly affect swallowing function. COVID-19 is known to cause respiratory symptoms as well as gastrointestinal symptoms, which can lead to malnutrition [9].
It has been pointed out that COVID-19 leads to muscle wastage through a highly catabolic state [10]. Loss of muscle mass and strength (i.e., sarcopenia) is a systemic process that affects not only the lower extremities but also the swallowing muscles [11].
There are few reports of cases showing such a relationship [12]. The present study examined relationships between eating/swallowing function and various factors in a population of patients who developed COVID-19 infection in a psychiatric ward, to shed light on the effects of COVID-19 infection on swallowing function.

2. Materials and Methods

2.1. Study Design and Setting

This was a retrospective observational study of patients with confirmed COVID-19 who were admitted to the psychiatric ward of a hospital located in the suburbs of Tokyo, Japan in May or June of 2020.

2.2. Participants

All subjects were undergoing inpatient treatment due to schizophrenia. Among the subjects with confirmed infection during the observation period, 44 subjects were included in the present study, after excluding one subject receiving nutrition via parenteral feeding before infection, four subjects who died in another hospital after being transferred for treatment, and one patient who was transferred to another hospital after resolution of COVID-19.

2.3. Variables

2.3.1. Basic Information

The age and comorbidities of the subjects before infection were investigated. Subjects were assigned separate according to age, ≥70 years and <70 years. Comorbidities were described and characterized based on the Charlson Comorbidity Index (CCI), with stage 0 indicating low grade; stage 1–2, medium; stage 3–4, high; stage ≥5, very high [13]. The activities of daily living (ADL) of the subjects before and after infection were investigated. The ADL determined whether subjects required assistance with walking and eating. Descriptive information included the number of days in the hospital to which the patient was transferred for COVID-19 treatment, whether oxygen was administered, and whether endotracheal intubation was performed. Hospital stays for treatment of infections longer than 30 days were considered long-term hospitalizations, while those less than 30 days were considered short-term.

2.3.2. Status of Pharmacotherapy

Medications used before infection and during treatment for COVID-19 were described, and the use of ≥6 medicines was defined as polypharmacy [14]. The chlorpromazine-equivalent value (CPZ-equivalent) per patient was used to calculate the daily antipsychotic dose per patient based on chlorpromazine dose equivalents for antipsychotics. Antipsychotic doses of ≥600 or ≥1000 mg CPZ-equivalents were considered high doses [15].

2.3.3. Nutritional Status

Body mass index (BMI) and weight loss at the time of infection were determined based on height and weight at the month of infection and weight six months before infection. Subjects ≥70 years old with a BMI <17.0 kg/m2 and those <70 years old with a BMI <17.8 kg/m2 were considered malnourished [16]. Subjects with a rate of weight loss from six months before infection of ≥5% or ≥10% were also considered malnourished [17]. Similarly, BMI at the time of infection cure and the rate of weight loss were determined based on those during infection to identify malnutrition based on the same criteria.

2.3.4. Eating Function

The eating function of subjects was evaluated based on the Food Intake Level Scale (FILS) [18]. The FILS, a 10-point observer-rating scale for assessing dysphagia, was used to classify the severity of dysphagia as follows: score: 1–3, “no oral intake”; score: 4–6, “oral intake and alternative nutrition”; score: 7–9, “oral intake alone”; score 10, “normal oral food intake”. Subjects with a change in FILS score from 10 pre-infection to 1–9 and those with a change in score from 7–9 pre-infection to 1–6 were considered to have decreased eating function. Moreover, those who showed a change to a score of 1–3 were transitioned to parenteral feeding.

2.3.5. Pharyngeal Movements and Dysosmia/Dysgeusia after Infection Cure

Two months after infection cure, subjects who transitioned to parenteral feeding underwent a videoendoscopic swallowing examination to check for the presence of velopharyngeal insufficiency during swallowing. In addition, subjects were interviewed about potential olfactory and gustatory dysfunctions.

2.4. Statistical Analysis

Changes in eating function from before infection were analyzed by the Kruskal–Wallis test. Chi-square tests were performed to examine the relationships between each factor and subjects with decreased eating function and conversion to parenteral feeding, respectively. A hazard ratio of <5% was considered to denote significance.

3. Results

3.1. Participant Characteristics

The 44 subjects (mean age, 68.86 ± 12.74 years) comprised 13 men (mean age, 72.1 ± 10.3 years; range, 59–93 years) and 31 women (mean age, 67.5 ± 13.6 years; range, 30–89 years). Mean CCI was 0.73 ± 1.20, categorized as low in 25 subjects, medium in 17, high in one, and very high in one. One subject received assistance with eating, and seven had difficulty walking independently.

3.1.1. Medication Use Status and Nutritional Status before Infection

Before infection, the mean number of drugs used was 7.52 ± 3.77, and 31 subjects were defined as receiving polypharmacy. Moreover, the mean antipsychotic dose in terms of CPZ-equivalents was 454.94 ± 455.87 mg, with ≥600 and ≥1000 mg CPZ-equivalents in 14 and six subjects, respectively. Eleven subjects were diagnosed as malnourished on the basis of BMI, and three subjects by weight loss rate.

3.1.2. Relationships between Eating Status and Age, Nutrition, and Pharmacotherapy before Infection

Before infection, the FILS score was 7 in five subjects, 8 in 11 subjects, 9 in four subjects, and 10 in 24 subjects, indicating that 20 subjects had an eating/swallowing disorder, and 24 had normal eating/swallowing function. Eating function was significantly associated with age, and showed no relationship to weight loss, BMI-based nutritional status, or CPZ-equivalent dose (Table 1).

3.2. Relationship between Eating Status and Various Factors after Infection Care

3.2.1. Treatment for Infection

The mean duration of hospitalization for COVID-19 infection was 32.1 ± 19.1 days (range: 8–83 days). During treatment for infection, three subjects received endotracheal intubation, and 15 received oxygen administration.

3.2.2. ADL and Drug Use Status after Infection Care

After infection cure, the number of subjects requiring assistance with eating had increased significantly to seven (p = 0.014), and the number of subjects experiencing difficulty with walking independently had increased significantly to 18 (p < 0.01). Twenty-one subjects were considered to be receiving polypharmacy. Furthermore, the antipsychotic dose was ≥600 mg CPZ-equivalents in 19 subjects and ≥1000 mg CPZ-equivalents in five subjects.

3.2.3. Nutritional Status after Recovery from Infection

After full recovery from COVID-19 infection, 13 subjects were diagnosed as malnourished on the basis of BMI, and 11 subjects by weight loss rate. The number of malnourished subjects who were diagnosed on the basis of weight loss rate had increased significantly compared to that before COVID-19 infection.

3.2.4. Change in Eating Function before and after Recovery from Infection

After infection care, FILS score was 2 in six subjects, 7 in five subjects, 8 in 16 subjects, 9 in two subjects, and 10 in 15 subjects, showing significant decreases in eating function from the pre-infection assessment (p < 0.01). Eating function after infection care had decreased from that before infection in 14 subjects (mean age, 74.14 ± 9.91 years). Parenteral nutrition was initiated in six subjects (mean age, 79.3 ± 10.71 years), and a videoendoscopic swallowing examination revealed that four of them developed dysphagia during swallowing. Among the 24 subjects with normal function (FILS score, 10) before infection, one transitioned to parenteral feeding (score, 1–3) and eight were still able to orally ingest food, but had developed an eating/swallowing disorder (score, 7–9). Among the 20 subjects who were able to eat orally but had an eating/swallowing disorder (FILS score, 7–9) before infection, five had transitioned to parenteral feeding (score, 1–3) (Table 2). Of the six subjects who transitioned to parenteral feeding, two complained of olfactory and gustatory dysfunctions. Four subjects were unavailable for interviews to determine whether they had such symptoms, due to decreased cognitive function.

3.2.5. Relationship between Changes in Eating Status and Various Factors

Weight loss of ≥10% after infection care of COVID-19 showed an association with both worsening of eating status compared with the pre-infection assessment (p < 0.01) and conversion to parenteral feeding (p < 0.05) (Table 3).

3.2.6. Clinical Findings of Transition to Parenteral Feeding

Fiberoptic endoscopic evaluation of swallowing confirmed disorders of pharyngeal movement in three of the six subjects in the present study who transitioned to parenteral feeding, while two of the subjects who transitioned to tube feeding complained of dysgeusia.

4. Discussion

In the present study, the effects of COVID-19 infection on eating/swallowing function were clarified through the eating/swallowing disorders observed in COVID-19-infected subjects in a psychiatric ward. The COVID-19 infection significantly led to decreased eating function. Furthermore, 13.6% of subjects transitioned to enteral nutrition. Subjects who already had eating/swallowing disorders before infection experienced marked decreases in swallowing function. During hospital admission, 25% of subjects experienced marked weight loss. COVID-19-related weight losses were significantly associated with both a decrease in eating function and difficulty with oral ingestion. In the present study, before COVID-19 infection, the dysphagia severity scale in a psychiatric cohort showed a relationship of age to severity, not to nutritional status or the use of antipsychotics. Others have found that the use of antipsychotics to treat schizophrenia was correlated with dysphagia [6]. Haga et al. [19] examined the factors associated with the onset of pneumonia in schizophrenic patients in Japan. They found that, in addition to high doses of antipsychotics in terms of CPZ equivalents, malnutrition and age also showed relationships. One explanation might be that appropriate dosages for psychiatric stabilization had been achieved, and that few subjects were morbidly undernourished beforehand.
In the present study subjects, COVID-19 significantly affected eating function. SARS-CoV-2, the causative pathogen for COVID-19, is known to be neurotropic and neuroinvasive [7]. The virus attacks nerves directly, resulting in olfactory and gustatory dysfunctions as part of the effect on the glossopharyngeal and vagus nerves [20]. In addition, disorders of pharyngeal sensation and movement have also been reported as an effect on the glossopharyngeal and vagus nerves [21]. Complaints of olfactory and gustatory dysfunctions could not be confirmed in many subjects in the present study, potentially because of unavailability for interviews due to schizophrenia-related communication issues. However, the present study suggests that dysgeusia may be related to dysphagia. In addition, a fiberoptic endoscopy revealed pharyngeal-based disorders. Furthermore, among some subjects with severe COVID-19 receiving treatments such as endotracheal intubation, the presence of so-called “postintubation dysphagia” after COVID-19 infection resolution has also been discussed [22]. While some subjects in the present study received endotracheal intubation due to COVID-related pneumonia, the association with subsequent dysphagia remains unclear.
During treatment for COVID-19, 43% of subjects in the present study experienced ≥5% weight loss, and 25% of subjects showed ≥10% weight loss. The subject of this study also suffered from the risk of malnutrition by COVID-19 infection. Subjects who had a ≥10% weight loss showed a significant association with decreased eating function and transition to parenteral feeding. Allard et al. [23] reported that a large number of patients admitted due to COVID-19 had malnutrition. COVID-19 is also known to cause gastrointestinal symptoms, diarrhea, mild abdominal pain, nausea, vomiting, and loss of appetite, making it a potential cause of nutritional disorders [24]. Moreover, the systemic inflammatory response of cytokine storm is directly related to increased muscle protein breakdown, albumin consumption, and a metabolic disorder of major nutrients, which may contribute to malnutrition and the onset of cachexia [25,26]. These reports indicate that malnutrition is a risk for COVID infection, and that the infection increases the risk of malnutrition. A metabolic syndrome characterized by loss of muscle in association with an underlying illness is known as cachexia. A major clinical feature of cachexia in adults is weight loss, which has been linked to inflammation and loss of appetite [27]. COVID-19-induced gastrointestinal symptoms, anorexia, and cytokine storm are known to cause weight loss and to trigger cachexia [28]. While no measurements of skeletal muscle mass were conducted in the present study, weight loss during treatment for COVID-19 can be attributed to cachexia, which is believed to lead to a decrease in the strength of swallowing-related muscles and to have effects on swallowing function [29]. Malnutrition is associated with decreased eating/swallowing function and can lead to dysphagia, which is one cause of malnutrition, in turn contributing to further malnutrition [30]. Preventing malnutrition during treatment for COVID-19 infection is important to maintain eating/swallowing function.
This study has several limitations. First, the sample, consisting of COVID-19 cases that arose in a single hospital ward, was too small to allow for adequate statistical analyses. In addition to significant weight loss, other factor such as the subject’s age, gender, COVID-19 severity, Chlorpromazine-equivalent may affect feeding function. However, in this study, these could not be removed as confounding factors. In order to generalize the results of this manuscript, it is necessary to carry out research using a large number of subjects. Nevertheless, the present study derived its strength from the fact that subjects were inpatients in the same hospital ward and received the same quality of medical care before the onset of the infection. Second, the study was based on pre-infection clinical records in the psychiatric ward and infection care assessments of eating function, as no detailed data were available on the treatment and nutritional management provided during the treatment of COVID-19 infection. These data, although important in terms of the prophylaxis of the COVID-19 infection-induced cachexia, could not be used in the present investigation.

5. Conclusions

In schizophrenic patients, who are already prone to experiencing decreased swallowing function, weight loss due to COVID-19 infection is a major risk factor for further decreases in eating/swallowing function. Preventing malnutrition during treatment for COVID-19 infection is important to improve post-infection prognosis and maintain QOL.

Author Contributions

T.K. designed the study, acquired and analyzed the data, and prepared the manuscript. Y.I., A.M., E.K., M.M. and J.O. acquired the subjects and data and also analyzed the data. T.T. and N.T. edited the manuscript. F.T. planned the study and interpreted the data. E.M. edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the ethics committee of the Nippon Dental University School of Life Dentistry (approval no. NDU-T2020-24).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

We thank the staff of Musashino Central Hospital for their cooperation.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. GBD Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018, 392, 1789–1858. [Google Scholar] [CrossRef] [Green Version]
  2. Taquet, M.; Luciano, S.; Geddes, J.R.; Harrison, P.J. Bidirectional associations between COVID-19 and psychiatric disorder: Ret-rospective cohort studies of 62 354 COVID-19 cases in the USA. Lancet Psychiatry 2020, 8, 130–140. [Google Scholar] [CrossRef]
  3. Maguire, P.A.; Reay, R.E.; Looi, J.C. Nothing to sneeze at–uptake of protective measures against an influenza pandemic by people with schizophrenia: Willingness and perceived barriers. Australas. Psychiatry 2019, 27, 171–178. [Google Scholar] [CrossRef]
  4. Yao, H.; Chen, J.-H.; Xu, Y.-F. Patients with mental health disorders in the COVID-19 epidemic. Lancet Psychiatry 2020, 7, e21. [Google Scholar] [CrossRef]
  5. Lee, S.W.; Yang, J.M.; Moon, S.Y.; Yoo, I.K.; Ha, E.K.; Kim, S.Y.; Park, U.M.; Choi, S.; Lee, S.-H.; Ahn, Y.M.; et al. Association between mental illness and COVID-19 susceptibility and clinical outcomes in South Korea: A nationwide cohort study. Lancet Psychiatry 2020, 7, 1025–1031. [Google Scholar] [CrossRef]
  6. Kulkarni, D.P.; Kamath, V.D.; Stewart, J.T. Swallowing Disorders in Schizophrenia. Dysphagia 2017, 32, 467–471. [Google Scholar] [CrossRef] [PubMed]
  7. Li, Y.-C.; Bai, W.-Z.; Hirano, N.; Hayashida, T.; Hashikawa, T. Coronavirus infection of rat dorsal root ganglia: Ultrastructural characterization of viral replication, transfer, and the early response of satellite cells. Virus Res. 2012, 163, 628–635. [Google Scholar] [CrossRef]
  8. Xie, Q.; Fan, F.; Fan, X.-P.; Wang, X.-J.; Chen, M.-J.; Zhong, B.-L.; Chiu, H.F.-K. COVID-19 patients managed in psychiatric inpatient settings due to first-episode mental disorders in Wuhan, China: Clinical characteristics, treatments, outcomes, and our experiences. Transl. Psychiatry 2020, 10. [Google Scholar] [CrossRef]
  9. Guan, W.J.; Ni, Z.Y.; Hu, Y.; Liang, W.H.; Ou, C.Q.; He, J.X.; Liu, L.; Shan, H.; Lei, C.L.; Hui, D.S.C.; et al. Clinical Characteristics of Coronavirus Disease 2019 in China. N. Engl. J. Med. 2020, 382, 1708–1720. [Google Scholar] [CrossRef] [PubMed]
  10. Morley, J.E.; Kalantar-Zadeh, K.; Anker, S.D. COVID-19: A major cause of cachexia and sarcopenia? J. Cachex Sarcopenia Muscle 2020, 11, 863–865. [Google Scholar] [CrossRef] [PubMed]
  11. Azzolino, D.; Passarelli, P.C.; D’Addona, A.; Cesari, M. Nutritional strategies for the rehabilitation of COVID-19 patients. Eur. J. Clin. Nutr. 2020, 9, 1–3. [Google Scholar] [CrossRef]
  12. Aoyagi, Y.; Ohashi, M.; Funahashi, R.; Otaka, Y.; Saitoh, E. Oropharyngeal Dysphagia and Aspiration Pneumonia Following Coronavirus Disease 2019: A Case Report. Dysphagia 2020, 35, 545–548. [Google Scholar] [CrossRef] [PubMed]
  13. Charlson, M.E.; Pompei, P.; Ales, K.L.; MacKenzie, C. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J. Chronic Dis. 1987, 40, 373–383. [Google Scholar] [CrossRef]
  14. Masnoon, N.; Shakib, S.; Kalisch-Ellett, L.; Caughey, G.E. What is polypharmacy? A systematic review of definitions. BMC Geriatr. 2017, 17, 1–10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Lehman, A.F.; Steinwachs, D.M. The Co-Investigators of the PORT Project Translating Research into Practice: The Schizophrenia Patient Outcomes Research Team (PORT) Treatment Recommendations. Schizophr. Bull. 1998, 24, 1–10. [Google Scholar] [CrossRef]
  16. Maeda, K.; Ishida, Y.; Nonogaki, T.; Mori, N. Reference body mass index values and the prevalence of malnutrition according to the Global Leadership Initiative on Malnutrition criteria. Clin. Nutr. 2020, 39, 180–184. [Google Scholar] [CrossRef]
  17. Cederholm, T.; Jensen, G.; Correia, M.; Gonzalez, M.; Fukushima, R.; Higashiguchi, T.; Baptista, G.; Barazzoni, R.; Blaauw, R.; Coats, A.; et al. GLIM criteria for the diagnosis of malnutrition—A consensus report from the global clinical nutrition community. J. Cachex Sarcopenia Muscle 2019, 10, 207–217. [Google Scholar] [CrossRef] [Green Version]
  18. Kunieda, K.; Ohno, T.; Fujishima, I.; Hojo, K.; Morita, T. Reliability and Validity of a Tool to Measure the Severity of Dysphagia: The Food Intake LEVEL Scale. J. Pain Symptom Manag. 2013, 46, 201–206. [Google Scholar] [CrossRef] [PubMed]
  19. Haga, T.; Ito, K.; Sakashita, K.; Iguchi, M.; Ono, M.; Tatsumi, K. Risk factors for pneumonia in patients with schizophrenia. Neuropsychopharmacol. Rep. 2018, 38, 204–209. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Lechien, J.R.; Chiesa-Estomba, C.M.; De Siati, D.R.; Horoi, M.; Le Bon, S.D.; Rodriguez, A.; Dequanter, D.; Blecic, S.; El Afia, F.; Distinguin, L.; et al. Olfactory and gustatory dysfunctions as a clinical presentation of mild-to-moderate forms of the coronavirus disease (COVID-19): A multicenter European study. Eur. Arch. Otorhinolaryngol. 2020, 277, 2251–2261. [Google Scholar]
  21. Dziewas, R.; Warnecke, T.; Zürcher, P.; Schefold, J.C. Dysphagia in COVID-19–multilevel damage to the swallowing network? Eur. J. Neurol. 2020, 27. [Google Scholar] [CrossRef]
  22. Frajkova, Z.; Tedla, M.; Tedlova, E.; Suchankova, M.; Geneid, A. Postintubation Dysphagia during COVID-19 Outbreak-Contemporary Review. Dysphagia 2020, 35, 549–557. [Google Scholar] [CrossRef]
  23. Allard, L.; Ouedraogo, E.; Molleville, J.; Bihan, H.; Giroux-Leprieur, B.; Sutton, A.; Baudry, C.; Josse, C.; Didier, M.; Deutsch, D.; et al. Malnutrition: Percentage and Association with Prognosis in Patients Hospitalized for Coronavirus Disease 2019. Nutrients 2020, 12, 3679. [Google Scholar] [CrossRef]
  24. Li, T.; Zhang, Y.; Gong, C.; Wang, J.; Liu, B.; Shi, L.; Duan, J. Prevalence of malnutrition and analysis of related factors in elderly patients with COVID-19 in Wuhan, China. Eur. J. Clin. Nutr. 2020, 74, 871–875. [Google Scholar] [CrossRef] [Green Version]
  25. Yu, P.-J.; Cassiere, H.; Bocchieri, K.; DeRosa, S.; Yar, S.; Hartman, A. Hypermetabolism in critically ill patients with COVID-19 and the effects of hypothermia: A case series. Metab. Open 2020, 7, 100046. [Google Scholar] [CrossRef]
  26. Whittle, J.; Molinger, J.; MacLeod, D.; Haines, K.; Wischmeyer, P.E. Persistent hypermetabolism and longitudinal energy expenditure in critically ill patients with COVID-19. Crit. Care 2020, 24, 1–4. [Google Scholar] [CrossRef] [PubMed]
  27. Evans, W.J.; Morley, J.E.; Argilés, J.; Bales, C.; Baracos, V.; Guttridge, D.; Jatoi, A.; Kalantar-Zadeh, K.; Lochs, H.; Mantovani, G.; et al. Cachexia: A new definition. Clin. Nutr. 2008, 27, 793–799. [Google Scholar] [CrossRef] [PubMed]
  28. Virgens, I.P.; Santana, N.M.; Lima, S.C.; Fayh, A.P. Can COVID-19 be a risk for cachexia for patients during intensive care? Narrative review and nutritional recommendations. Br. J. Nutr. 2020, 1–25. [Google Scholar] [CrossRef]
  29. Fujishima, I.; Fujiu-Kurachi, M.; Arai, H.; Hyodo, M.; Kagaya, H.; Maeda, K.; Mori, T.; Nishioka, S.; Oshima, F.; Ogawa, S.; et al. Sarcopenia and dysphagia: Position paper by four professional organizations. Geriatr. Gerontol. Int. 2019, 19, 91–97. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Christmas, C.; Rogus-Pulia, N. Swallowing Disorders in the Older Population. J. Am. Geriatr. Soc. 2019, 67, 2643–2649. [Google Scholar] [CrossRef]
Table 1. Relationships between eating status and age, nutrition, and pharmacotherapy before infection.
Table 1. Relationships between eating status and age, nutrition, and pharmacotherapy before infection.
FILS
CharacteristicsOverall7 (n = 5)8 (n = 11)9 (n = 4)10 (n = 24)p-Value
Age71.0 (60.0–78.8)84.0 (80.5–91.0)75.0 (65.0–80.0)77.5 (74.8–78.8)62.5 (56.3–71.0)<0.001
Weight loss (%)−0.8 (−0.3–2.1)0.17 (−4.1–7.2)−2.6 (−4.3–0.2)1.5 (−9.5–1.5)−0.2 (−2.7–2.7)0.77
BMI20.8 (17.5–23.8)17.3 (15.1–22.8)18.4 (15.9–20.7)21.1 (16.2–24.5)22.5 (18.8–24.2)0.137
CPZ equivalent305 (100–737.5)140.0 (50.0–12.5)300.0 (37.9–800.0)150.0 (25.0–275.0)402.5 (131.3–875.0)0.123
Number of medications7.5 (5.0–11.0)8.0 (5.0–12.5)9.0 (7.0–11.0)6.0 (3.25–8.75)6.5 (5.0–11.0)0.597
Median (IQR), FILS: Food Intake LEVEL scale, BMI: Body Mass Index, CPZ equivalent: Chlorpromazine-equivalent value.
Table 2. Change of eating function before and after infection.
Table 2. Change of eating function before and after infection.
FILS after Infection CareTotal
278910
FILS before infection7320005
82180011
9002204
1012601524
Total 651621544
FILS: Food Intake LEVEL scale; p-value < 0.001.
Table 3. Relationship between changes in eating status and various factors.
Table 3. Relationship between changes in eating status and various factors.
Maintaining Feeding Function (n = 30)Declined Feeding Function (n = 14)p-ValueOral Intake (n = 38)Parenteral Intake (n = 6)p-Value
Age
≥70 years, n (%)16 (53.3)10 (71.4)0.33321 (55.2)5 (83.3)0.375
Duration for treatment of infection
≥30 days, n (%)11 (36.7)7 (50.0)0.40215 (39.5)3 (50.0)0.676
Charlson index
Low, n (%)18 (60.0)7 (50.0)0.41223 (60.5)2 (33.3)0.060
Mild, n (%)11 (37.0)6 (42.9) 14 (36.8)3 (50.0)
High, n (%)0 (0)1 (0.7) 0 (0)1 (16.7)
Very high, n (%)1 (3.0)0 (0) 1 (2.6)0 (0)
CPZ equivalent (at the time of infection)
≥1000 mg, n (%)4 (13.3)2 (14.3)1.06 (15.8)0 (0)0.573
CPZ equivalent (during infection treatment)
≥1000 mg, n (%)5 (16.7)0 (0)0.165 (13.2)0 (0)1.0
Weight loss (from six months before infection)
≥10%, n (%)3 (10.0)0 (0)0.5403 (7.9)0 (0)1.0
Weight loss (during infection treatment)
≥10%, n (%)3 (10.0)8 (57.1)0.0027 (18.4)4 (66.7)0.027
BMI (at the time of infection)
≥17 if less than 70, ≥17.8 if more than 70, n (%)23 (76.7)10 (71.4)0.72230 (78.9)3 (50.0)0.154
BMI (at the time of infection cure)
≥17 if less than 70, ≥17.8 if more than 70, n (%)23 (76.7)8 (57.1)0.18628 (73.7)3 (50.0)0.339
Number of medicines (at the time of infection)
≥6 medicines, n (%)22 (73.3)9 (64.3)0.54029 (76.3)2 (33.3)0.053
Number of medicines (during infection treatment)
≥6 medicines, n (%)15 (50.0)6 (42.9)0.65918 (47.4)3 (50.0)1.0
Oxygen inhalation
yes, n (%)8 (26.7)6 (42.9)0.28311 (28.9)3 (50.0)0.364
Endotracheal intubation
yes, n (%)0 (0)2 (14.3)0.0962 (5.3)0 (0)1.0
BMI: Body Mass Index, CPZ equivalent: Chlorpromazine-equivalent value.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kikutani, T.; Ichikawa, Y.; Kitazume, E.; Mizukoshi, A.; Tohara, T.; Takahashi, N.; Tamura, F.; Matsutani, M.; Onishi, J.; Makino, E. COVID-19 Infection-Related Weight Loss Decreases Eating/Swallowing Function in Schizophrenic Patients. Nutrients 2021, 13, 1113. https://doi.org/10.3390/nu13041113

AMA Style

Kikutani T, Ichikawa Y, Kitazume E, Mizukoshi A, Tohara T, Takahashi N, Tamura F, Matsutani M, Onishi J, Makino E. COVID-19 Infection-Related Weight Loss Decreases Eating/Swallowing Function in Schizophrenic Patients. Nutrients. 2021; 13(4):1113. https://doi.org/10.3390/nu13041113

Chicago/Turabian Style

Kikutani, Takeshi, Yoko Ichikawa, Eri Kitazume, Arato Mizukoshi, Takashi Tohara, Noriaki Takahashi, Fumiyo Tamura, Manami Matsutani, Junko Onishi, and Eiichiro Makino. 2021. "COVID-19 Infection-Related Weight Loss Decreases Eating/Swallowing Function in Schizophrenic Patients" Nutrients 13, no. 4: 1113. https://doi.org/10.3390/nu13041113

APA Style

Kikutani, T., Ichikawa, Y., Kitazume, E., Mizukoshi, A., Tohara, T., Takahashi, N., Tamura, F., Matsutani, M., Onishi, J., & Makino, E. (2021). COVID-19 Infection-Related Weight Loss Decreases Eating/Swallowing Function in Schizophrenic Patients. Nutrients, 13(4), 1113. https://doi.org/10.3390/nu13041113

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