Next Article in Journal
The Impact of Non-Andrological Medications on Semen Characteristics, Oxidative Stress and Inflammatory Parameters
Next Article in Special Issue
A Comprehensive Analysis of the Radiation Exposure and the Diagnostic Benefit of PanCT in Pediatric Cases with Multiple Trauma
Previous Article in Journal
Impact of the Emergency Procedure Zone on Emergency Care
Previous Article in Special Issue
A Rare and Easily Overlooked Case of Bilateral Traumatic Testicular Dislocation and an Alternative Viewpoint on Delayed Management
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Medicina
Volume 59
Issue 5
10.3390/medicina59050902
medicina-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Epidemiology and Outcome of Acute Appendicitis during and before the COVID-19 Pandemic: A Retrospective Single-Center Analysis

by
Moonho Won
and
Chiwon Ahn
*
Department of Emergency Medicine, College of Medicine, Chung-Ang University, Seoul 06974, Republic of Korea
*
Author to whom correspondence should be addressed.
Medicina 2023, 59(5), 902; https://doi.org/10.3390/medicina59050902
Submission received: 10 April 2023 / Revised: 3 May 2023 / Accepted: 4 May 2023 / Published: 8 May 2023
(This article belongs to the Special Issue Emergency Medicine and Emergency Room Medical IssuesⅡ)
Browse Figures
Versions Notes

Abstract

:
Background and Objectives: We investigated epidemiological factors and outcomes, including the development of complications, for patients with appendicitis according to three sequential coronavirus disease 2019 (COVID-19) pandemic periods, divided by specific time points. Materials and Methods: This observational study included patients with acute appendicitis who arrived at a single-center between March 2019 and April 2022. The study divided the pandemic into three periods: period A as the first phase of the pandemic (from 1 March 2020 to 22 August 2021), period B as the time period the medical system stabilized (from 23 August 2021 to 31 December 2021), and period C as the time period of the exploration of patients with COVID-19 in South Korea (from 1 January 2022 to 30 April 2022). Data collection was based on medical records. The primary outcome was presence or absence of complications and the secondary outcomes were the time taken from ED visit to surgical intervention, the presence and time of the first administration of antibiotics, and the hospital stay time. Results: Of 1,101 patients, 1,039 were included, with 326 and 711 patients before and during the pandemic, respectively. Incidence of complications was not affected during the pandemic (before the pandemic 58.0%; period A 62.7%; period B,55.4%; and period C 58.1%; p = 0.358). Time from symptom onset to emergency department (ED) arrival significantly decreased during the pandemic (before the pandemic 47.8 ± 84.3 h; pandemic 35.0 ± 54 h; p = 0.003). Time from ED visit to the operating room was statistically significantly increased during the pandemic (before the pandemic 14.3 ± 21.67 h; period A 18.8 ± 14.02 h; period B 18.8 ± 8.57 h; period C 18.3 ± 12.95 h; p = 0.001). Age and time from symptom onset to ED arrival were variables affecting the incidence of complications; however, they were not affected during the pandemic (age, OR 2.382; 95% CI 1.545–3.670; time from symptom onset to ED arrival, OR 1.010, 95% CI 1.006–1.010; p < 0.001). Conclusions: This study found no differences in postoperative complications or treatment durations between pandemic periods. The incidence of appendicitis complications was significantly influenced by age and the duration between the onset of symptoms and arrival at the emergency department, but not by the pandemic period itself.

1. Introduction

In December 2019, coronavirus disease 2019 (COVID-19) emerged in Wuhan, China and soon became a pandemic. During the early stages of the pandemic, the majority of medical resources were focused on the care of patients with COVID-19, and the pandemic impacted the systems of emergency medical centers and affected the diagnosis and treatment processes of patients without COVID-19 [1,2,3]. Furthermore, a gap in emergency medical services developed for other diseases, including myocardial infarction, stroke, out-of-hospital cardiac arrest (OHCA), and sepsis, owing to the collateral effects [2,3,4,5,6,7,8]. Previous studies have revealed that patients with these life-threatening diseases experienced delays in arrival through overburdened emergency medical services and medical institutions with limited capacity, restricting their access to proper care [2,3,4,5,6,7,8]. Additionally, the pandemic’s impact on emergency rooms altered the care provided to patients requiring surgical treatment. Previous studies by Pogoreli et al. discovered a significant increase in delayed presentations and care among patients with testicular torsion during the COVID-19 pandemic [9]. Furthermore, orthopedic surgery, considered a relatively non-life-threatening condition, experienced delays in stages to alleviate the strain on healthcare services [10].
Acute appendicitis is one of the common causes of acute abdomen and is the most common indicator for emergency abdominal surgery. Previous studies have reported that during the pandemic, a significant increase in complications and length of stay for acute appendicitis was noted, compared with that from before the COVID-19 pandemic [11,12,13]. Köhler et al. reported that during the pandemic, adult and child patients with appendicitis were receiving longer wait times, and their postoperative complications were worsened [11]. Furthermore, they showed that the time it took from the onset of symptoms to arriving at the emergency department (ED) increased during the pandemic; however, it was not statistically significant [11]. Access to EDs was restricted compared to before the pandemic, and patients had a generalized fear of infection risk from the novel virus [14,15]. Moreover, additional procedures during diagnostic testing and subsequent surgery, including the need for personal protection of the clinician and care in an isolation area when the patient presents symptoms and signs of a febrile illness, and the proactive administration of a COVID-19 polymerase chain reaction (PCR) test preoperatively, may lengthen the time until the surgery [2].
As the pandemic continued, the medical system stabilized, in contrast to the earlier temporally collapsed environment. At this time, distancing measures and restrictions on social activity were loosened, medicines for COVID-19 were developed, vaccines were administered, and a subtype with a high rate of transmission and a low rate of severity became the predominant type. Owing to the altered treatment environment, generalizing earlier outcomes for appendicitis during the pandemic is difficult. For this reason, it is necessary to divide the pandemic period into early and late phases.
Unlike previous studies, we investigated epidemiological factors and outcomes, including the development of complications for patients with appendicitis, according to three sequential pandemic periods divided by specific time points.

2. Materials and Methods

2.1. Study Design and Population

This study was a single-institutional retrospective observational study that included all ages with acute appendicitis who arrived at our ED between 1 March 2019 and 30 April 2022. Reviewing data were obtained from the electronic medical records and were analyzed. The 30-bed center has an ED staffed by board-certified emergency physicians providing 24-h emergency service. Among them, those who were transferred to other hospitals following diagnosis, those who did not proceed with the final treatment at the hospital owing to treatment refusal, those who were finally excluded from diagnosis, and those who had insufficient relevant data in their medical records were excluded from this study.

2.2. During and before the Pandemic Period, and the Changed Environment in the Emergency Room during the Pandemic

Following the deceleration of the pandemic announced by the World Health Organization in March 2020, we established the classification of a period in the COVID-19 pandemic (from 1 March 2020 to 30 April 2022) and before the pandemic (from 1 March 2019 to 28 February 2020).
The COVID-19 pandemic period was sequentially divided by several time points. Time points included the time when the first vaccination rate reached 51% in South Korea (23 August 2021) and the time when the number of confirmed cases, following the Omicron epidemic, exploded (January 2022). Thus, the pandemic period was divided into the following three periods: period A as the first phase of the pandemic (from 1 March 2020 to 22 August 2021), period B as the time period the medical system stabilized (from 23 August 2021 to 31 December 2021), and period C as the time period of the exploration of patients with COVID-19 in South Korea (from 1 January 2022 to 30 April 2022).
The emergency medical staff and the infection control team of this institution established and modified the ED clinical processes to prevent infection spread in the ED during the COVID-19 pandemic, in accordance with the government of South Korea’s elevation of the infectious disease crisis level to “serious” in February 2020. Due to the COVID-19 pandemic and the implementation of a modified clinical process, the triage area was established in a separate location outside the ED [2]. After screening, patients with COVID-19-related symptoms or clinical suspicion of COVID-19 were led to the isolation room with negative pressure, instead of the space for patients with other general symptoms. Staff, residents, nurses, and healthcare assistants wore personal protective equipment consisting of a protective gown, a protective cap, gloves, a N95 mask, and a face shield or goggles [16]. COVID-19 reverse transcription-polymerase chain reaction testing was performed on all patients residing in the isolated room. If the decision to hospitalize was made prior to the results of a confirmatory COVID-19 test, the patients were transferred to the isolation intensive care unit or isolation wards via a different route.

2.3. Data Collection and Outcome Measurement

Data collection is based on the electronic medical records of the study participants and includes basic patient information (e.g., age, gender, and pregnancy), patient evaluation information (e.g., hypertension, diabetes mellitus, cancer, stroke, cardiovascular disease, and surgical history), and acute appendicitis-related information (e.g., time from symptom onset to ED visit, time from ED visit to surgical intervention, reading of ultrasonography or computed tomography by a radiologist, and hospital stay time).
The presence or absence of complications was the primary outcome; the time taken from ED visit to surgical intervention, the presence and time of the first administration of antibiotics, and the hospital stay time were secondary outcomes.

2.4. Statistical Analysis

Descriptive statistical analysis was applied to ascertain baseline characteristics. Categorical variables were expressed as frequencies and were analyzed using the Chi-square test or Fisher’s exact test. Continuous variables were expressed as means with standard deviations and were analyzed using Student’s T-test. The Kolmogorov–Smirnov test was used to test for the normality of data distribution in all datasets. To identify predictors of outcomes, intergroup covariates, including the binary variable of complication development, were evaluated using multivariate analysis, which was independently performed by logistic regression using the “enter” method. Age (e.g., child, adult, and older adult), surgical history, time from onset, and time to antibiotics from onset were adjusted.
We used the Jamovi statistical program (version 2.3.18, The Jamovi project, Sydney, Australia) and R program (version 4.2.2, The R Foundation for Statistical Computing, Vienna, Austria) for all statistical analyses. A p-value of <0.05 was considered statistically significant.

2.5. Ethics Statement

This study’s protocol was approved by the Institutional Review Board of the Chung-Ang University Hospital on 24 August 2022 (IRB No. 2206-021-19424). The requirement for informed consent was waived owing to the retrospective nature of the study.

3. Results

3.1. Population and Demographics

A total of 1101 patients were included in this study, and 62 patients were excluded owing to various reasons, including transfer to other institutions, no appendicitis from the final diagnosis, and refusal for further evaluation and treatment. Finally, 1039 patients were analyzed, of whom 326 and 711 patients were reported before and during the pandemic period, respectively (period A, 494 patients; period B, 112 patients; and period C, 105 patients) (Figure 1).
Comparing between before and during the pandemic period, no statistically significant difference was observed in the rates of gender and underlying diseases. The time from symptom onset to ED visit significantly decreased (before the pandemic, 47.8 ± 84.3 h; during the pandemic, 35.0 ± 54 h; p = 0.003) (Table 1).

3.2. Outcomes

The ratio of appendicitis to the total patients in each period was 0.76% before the pandemic period (326/42,857 patients), 1.11% in period A of the pandemic (494/44,403 patients), 0.85% in period B of the pandemic (112/13,185), and 1.03% in period C of the pandemic (105/10,107 patients).
The incidence of complications was not affected during the pandemic period (before the pandemic, 58.0%; period A, 62.7%; period B, 55.4%; and period C, 58.1%; p = 0.358). The time from ED to the operating room was statistically significantly increased (before the pandemic, 14.3 ± 21.67 h; period A, 18.8 ± 14.02 h; period B, 18.8 ± 8.57 h; and period C, 18.3 ± 12.95 h; p = 0.001) (Figure 2).
No statistically significant difference was noted in the time from symptom onset to ED admission, time from symptom onset to antibiotic administration, hospital stay, and antibiotic treatment only without surgical treatment (Table 2).

3.3. Influencing Factors for Incidence of Complications

As a result of logistic regression analysis by adjusting for age, surgical history, time from symptom onset to ED, and time from ED to antibiotic administration, old age (odds ratio [OR], 2.382; 95% confidence interval [CI], 1.545–3.670; p < 0.001) and time from symptom onset to ED (OR, 1.010; 95% CI, 1.006–1.010; p < 0.001) were shown to be variables affecting the incidence of complications (Table 3).

4. Discussion

This study, unlike previous studies, investigated complications and other factors for appendicitis throughout the pandemic period by dividing it into multiple time points and comparing it to the period before the pandemic. The occurrence of complications was influenced by old age and the duration between symptom onset and ED arrival; however, the period of pandemic had no effect. During the pandemic, the duration between ED and surgical treatment dramatically increased; however, the time between symptom onset and ED arrival significantly decreased. Contrary to the study’s hypothesis, each factor throughout the divided pandemic periods lacked a significant difference.
COVID-19 is a new infectious disease, and the fear of spread, lack of vaccines and treatments, and confusion in the medical system owing to the absence of treatment guidelines affected the treatment process for both infectious and non-infectious diseases in the early stages of the pandemic. As the pandemic progressed, patients who had signs or symptoms, including fever, or were suspected of having the infectious disease, were admitted to an isolation room for treatment [2,17,18,19]. Additionally, although patients did not have the infectious disease or were not suspected of having it, they were required to undergo the routine COVID-19 PCR test for hospital admission and surgery [20,21,22,23]. Moreover, surgical times were delayed owing to pending COVID-19 PCR test results, which were confirmed only after the surgery’s schedule had been determined. Even when appendicitis was diagnosed in the ED, these additional processes led to the delay in reaching the operating room. In a study by Kim et al., which was a single-center study conducted in Korea during the pandemic, surgeries were delayed, and the severity of inflammation increased as a result of the delays caused by extra processes preoperatively [24]. Since it is not only the surgical delay that affects the occurrence of complications but also the duration of antibiotic administration, old age, and the presence of comorbidities [25,26,27,28], it appears that the increase in the time to start surgery during the pandemic had no direct effect on the increase in complications in this study.
The development of a drug for COVID-19 infection and the widespread use of vaccines both contributed to decreasing the number of patients with COVID-19 who were in a serious condition and altered the dominant subtype of the virus [29]. Omicron, in particular, had a low severity rate but a rapid spreading rate [30,31]. Despite these, incidents have changed the environment of medical care. Distinguishing between patients with and without COVID-19 to prevent the spread of the virus and maintaining strict infection control measures to protect vulnerable patients remain necessary. However, despite dividing the pandemic into periods for study, we were unable to figure out the difference from each period.
In previous studies, only antibiotic treatment without surgery was observed to have significantly increased during the pandemic compared with that before the pandemic [11]. Owing to the limited surgical capacity available during the pandemic period [11], antibiotic treatment without surgery increased since it could be a suitable choice for treating uncomplicated appendicitis [32,33]. All patients in this study received antibiotics; however, the number of patients who did not undergo surgery did not significantly increase during the pandemic. Although it can be presumed that the altering medical environment brought on by the pandemic had no impact on a surgical decision, a single-center study may call for more investigations into how various institutions in South Korea changed their surgical environments owing to the pandemic.
Compared with that before the pandemic, the amount of time between symptom onset and ED arrival significantly decreased. No studies showed a reduction in the amount of time between symptom onset and ED arrival in patients during the pandemic. There is evidence, however, that the onset of the pandemic has resulted in a novel infectious disease that has never been encountered, which has contributed to a decrease in the overall number of patients visiting hospitals owing to reduced social activities, including social distancing and self-isolation, as well as reduced access to hospitals for mildly ill patients [34]. It is probable that this is the collateral effect of the pandemic, which has led to a decrease in overall patient visits to the ED and an increase in accessibility for patients with urgent conditions, such as appendicitis.
Although this study did not find a significant difference in the incidence of complications between children and adults, delayed diagnosis of acute appendicitis in children [35,36,37] can make the condition more severe. An earlier systematic review of the incidence of complications in children with pandemics revealed that the incidence of appendicitis with increased complications was high in children with pandemics [38]. Additionally, the frequency of non-surgical treatments increased during the pandemic, contrary to the findings of this study. This is likely the result of regional differences in pandemic-affected health care systems and institutional care process characteristics. Since this study relied on the experience of a single institution, it will be necessary in the future to analyze its characteristics by collecting and analyzing data from multiple nearby institutions.
This study had several limitations. First, this study was conducted at a single center. The results of the study could not be generalized because only local features were considered, it was not possible to compare the treatment protocols of different hospitals, and only one center’s protocol was investigated. Second, the timing of major COVID-19-related health policy events was used to divide the study period; nevertheless, following the protocol at our facility, there was little change in the course of therapy. A considerable difference in each feature may have been shown if the treatment method had clearly changed over time; however, the fact that this was not achieved is a limitation. Finally, this was a retrospective study; therefore, it was impossible to completely rule out the inclusion of selection bias and other uncontrollable variables.

5. Conclusions

We hypothesized that the pandemic might cause a delay in appendicitis treatment, and we divided the pandemic into the early period, the medical system stabilization period, and the COVID-19 spread period in South Korea to determine the impact of characteristics and outcomes. There was no difference in postoperative complications among patients with appendicitis at each stage of analysis. In addition, there was no difference between the time periods for surgery after symptom onset and antibiotic administration. The incidence of appendicitis complications was significantly influenced by age and the lengthening of the time between symptom onset and ED arrival, although not by the pandemic period. Additionally, compared to before the pandemic, the time from the ED to surgical intervention increased during the pandemic period owing to additional processes, including COVID-19 screening and care in an isolation state if the patient had signs or symptoms of infection.

Author Contributions

Conceptualization, all authors; methodology, all authors; investigation, all authors; data curation, C.A.; writing—original draft preparation, all authors; writing—review and editing, all authors; visualization, M.W.; supervision, C.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study’s protocol was approved by the Institutional Review Board of the Chung-Ang University Hospital on 24 August 2022 (IRB No. 2206-021-19424). The requirement for informed consent was waived owing to the retrospective nature of the study.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets generated during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Blumenthal, D.; Fowler, E.J.; Abrams, M.; Collins, S.R. COVID-19—Implications for the Health Care System. N. Engl. J. Med. 2020, 383, 1483–1488. [Google Scholar] [CrossRef] [PubMed]
  2. Kim, J.H.; Ahn, C.; Namgung, M. Comparative Evaluation of the Prognosis of Septic Shock Patients from Before to After the Onset of the COVID-19 Pandemic: A Retrospective Single-Center Clinical Analysis. J. Pers. Med. 2022, 12, 10103. [Google Scholar] [CrossRef]
  3. Ahn, J.Y.; Ryoo, H.W.; Cho, J.W.; Kim, J.H.; Lee, S.H.; Jang, T.C. Impact of the COVID-19 outbreak on adult out-of-hospital cardiac arrest outcomes in Daegu, South Korea: An observational study. Clin. Exp. Emerg. Med. 2021, 8, 137–144. [Google Scholar] [CrossRef]
  4. Furnica, C.; Chistol, R.O.; Chiran, D.A.; Stan, C.I.; Sargu, G.D.; Girlescu, N.; Tinica, G. The Impact of the Early COVID-19 Pandemic on ST-Segment Elevation Myocardial Infarction Presentation and Outcomes-A Systematic Review and Meta-Analysis. Diagnostics 2022, 12, 588. [Google Scholar] [CrossRef]
  5. Ishaque, N.; Butt, A.J.; Kamtchum-Tatuene, J.; Nomani, A.Z.; Razzaq, S.; Fatima, N.; Vekhande, C.; Nair, R.; Akhtar, N.; Khan, K.; et al. Trends in Stroke Presentations before and during the COVID-19 Pandemic: A Meta-Analysis. J. Stroke 2022, 24, 65–78. [Google Scholar] [CrossRef] [PubMed]
  6. Lim, Z.J.; Ponnapa Reddy, M.; Afroz, A.; Billah, B.; Shekar, K.; Subramaniam, A. Incidence and outcome of out-of-hospital cardiac arrests in the COVID-19 era: A systematic review and meta-analysis. Resuscitation 2020, 157, 248–258. [Google Scholar] [CrossRef]
  7. Kim, J.H.; Ahn, C.; Namgung, M. Epidemiology and Outcome of Out-of-Hospital Cardiac Arrests during the COVID-19 Pandemic in South Korea: A Systematic Review and Meta-Analyses. Yonsei Med. J. 2022, 63, 1121–1129. [Google Scholar] [CrossRef] [PubMed]
  8. Kim, J.H.; Ahn, C.; Park, Y.; Won, M. Comparison of out-of-hospital cardiac arrest during the COVID-19 pandemic with those before the pandemic: An updated systematic review and meta-analysis. Front. Public Health 2023, 11, 1180511. [Google Scholar] [CrossRef]
  9. Pogorelić, Z.; Milanović, K.; Veršić, A.B.; Pasini, M.; Divković, D.; Pavlović, O.; Lučev, J.; Žufić, V. Is there an increased incidence of orchiectomy in pediatric patients with acute testicular torsion during COVID-19 pandemic?—A retrospective multicenter study. J. Pediatr. Urol. 2021, 17, 479.e1–479.e6. [Google Scholar] [CrossRef]
  10. Obamiro, E.; Trivedi, R.; Ahmed, N. Changes in trends of orthopedic services due to the COVID-19 pandemic: A review. World J. Orthop. 2022, 13, 955–968. [Google Scholar] [CrossRef]
  11. Köhler, F.; Müller, S.; Hendricks, A.; Kastner, C.; Reese, L.; Boerner, K.; Flemming, S.; Lock, J.F.; Germer, C.T.; Wiegering, A. Changes in appendicitis treatment during the COVID-19 pandemic—A systematic review and meta-analysis. Int. J. Surg. 2021, 95, 106148. [Google Scholar] [CrossRef] [PubMed]
  12. English, W.; Habib Bedwani, N.; Smith, C.; Doganay, E.; Marsden, M.; Muse, S.; Mak, W.K.; Chana, M.; Eves, J.; Shatkar, V. Suspected appendicitis and COVID-19, a change in investigation and management—A multicentre cohort study. Langenbecks Arch. Surg. 2021, 406, 357–365. [Google Scholar] [CrossRef]
  13. Fisher, J.C.; Tomita, S.S.; Ginsburg, H.B.; Gordon, A.; Walker, D.; Kuenzler, K.A. Increase in Pediatric Perforated Appendicitis in the New York City Metropolitan Region at the Epicenter of the COVID-19 Outbreak. Ann. Surg. 2021, 273, 410–415. [Google Scholar] [CrossRef]
  14. Slagman, A.; Behringer, W.; Greiner, F.; Klein, M.; Weismann, D.; Erdmann, B.; Pigorsch, M.; Möckel, M. Medizinische notfälle während der COVID-19-pandemie. Dtsch. Arztebl. Int. 2020, 117, 545–552. [Google Scholar]
  15. Dick, L.; Green, J.; Brown, J.; Kennedy, E.; Cassidy, R.; Othman, S.; Berlansky, M. Changes in emergency general surgery during Covid-19 in Scotland: A prospective cohort study. World J. Surg. 2020, 44, 3590–3594. [Google Scholar] [CrossRef]
  16. World Health Organization. Clinical Management of Severe Acute Respiratory Infection When Novel Coronavirus (2019-nCoV) Infection Is Suspected: Interim Guidance, 28 January 2020, Geneva. 2020. Available online: https://apps.who.int/iris/handle/10665/330893 (accessed on 3 May 2023).
  17. Bae, S.J.; Chung, H.S.; Namgung, M.; Choi, Y.H.; Min, J.H.; Lee, D.H. Comparison of the Clinical Process and Outcomes in Patients after Coronavirus Infection 2019 Outbreak. Medicina 2021, 57, 1086. [Google Scholar] [CrossRef]
  18. Wax, R.S.; Christian, M.D. Practical recommendations for critical care and anesthesiology teams caring for novel coronavirus (2019-nCoV) patients. Can. J. Anaesth. 2020, 67, 568–576. [Google Scholar] [CrossRef]
  19. Zuo, M.Z.; Huang, Y.G.; Ma, W.H.; Xue, Z.G.; Zhang, J.Q.; Gong, Y.H.; Che, L.; Chinese Society of Anesthesiology Task Force on Airway Management. Expert Recommendations for Tracheal Intubation in Critically ill Patients with Noval Coronavirus Disease 2019. Chin. Med. Sci. J. 2020, 35, 105–109. [Google Scholar] [CrossRef] [PubMed]
  20. Al-Muharraqi, M.A. Testing recommendation for COVID-19 (SARS-CoV-2) in patients planned for surgery—Continuing the service and ‘suppressing’ the pandemic. Br. J. Oral. Maxillofac. Surg. 2020, 58, 503–505. [Google Scholar] [CrossRef]
  21. Ribal, M.J.; Cornford, P.; Briganti, A.; Knoll, T.; Gravas, S.; Babjuk, M.; Harding, C.; Breda, A.; Bex, A.; Rassweiler, J.J.; et al. European Association of Urology Guidelines Office Rapid Reaction Group: An Organisation-wide Collaborative Effort to Adapt the European Association of Urology Guidelines Recommendations to the Coronavirus Disease 2019 Era. Eur. Urol. 2020, 78, 21–28. [Google Scholar] [CrossRef] [PubMed]
  22. Blouhos, K.; Boulas, K.A.; Paraskeva, A.; Triantafyllidis, A.; Nathanailidou, M.; Hatzipourganis, K.; Hatzigeorgiadis, A. Understanding Surgical Risk During COVID-19 Pandemic: The Rationale Behind the Decisions. Front. Surg. 2020, 7, 33. [Google Scholar] [CrossRef]
  23. de Bock, E.; Filipe, M.D.; Simmermacher, R.K.J.; Kroese, A.C.; Vriens, M.R.; Richir, M.C. Meta-analysis of COVID-19 prevalence during preoperative COVID-19 screening in asymptomatic patients. BMJ Open 2022, 12, e058389. [Google Scholar] [CrossRef] [PubMed]
  24. Kim, C.W.; Lee, S.H. Impact of COVID-19 on the care of acute appendicitis: A single-center experience in Korea. Ann. Surg. Treat Res. 2021, 101, 240–246. [Google Scholar] [CrossRef]
  25. Lee, J.F.; Leow, C.K.; Lau, W.Y. Appendicitis in the elderly. ANZ J. Surg. 2000, 70, 593–596. [Google Scholar] [CrossRef]
  26. Körner, H.; Söndenaa, K.; Söreide, J.A.; Andersen, E.; Nysted, A.; Lende, T.H.; Kjellevold, K.H. Incidence of acute nonperforated and perforated appendicitis: Age-specific and sex-specific analysis. World J. Surg. 1997, 21, 313–317. [Google Scholar] [CrossRef]
  27. Kirshtein, B.; Perry, Z.H.; Mizrahi, S.; Lantsberg, L. Value of laparoscopic appendectomy in the elderly patient. World J. Surg. 2009, 33, 918–922. [Google Scholar] [CrossRef] [PubMed]
  28. van Rossem, C.C.; Schreinemacher, M.H.; Treskes, K.; van Hogezand, R.M.; van Geloven, A.A. Duration of antibiotic treatment after appendicectomy for acute complicated appendicitis. Br. J. Surg. 2014, 101, 715–719. [Google Scholar] [CrossRef]
  29. Li, M.; Wang, H.; Tian, L.; Pang, Z.; Yang, Q.; Huang, T.; Fan, J.; Song, L.; Tong, Y.; Fan, H. COVID-19 vaccine development: Milestones, lessons and prospects. Signal Transduct. Target. Ther. 2022, 7, 146. [Google Scholar] [CrossRef]
  30. Strasser, Z.H.; Greifer, N.; Hadavand, A.; Murphy, S.N.; Estiri, H. Estimates of SARS-CoV-2 Omicron BA.2 Subvariant Severity in New England. JAMA Network Open 2022, 5, e2238354. [Google Scholar] [CrossRef] [PubMed]
  31. Cheng, V.C.C.; Ip, J.D.; Chu, A.W.H.; Tam, A.R.; Chan, W.M.; Abdullah, S.M.U.; Chan, B.P.C.; Wong, S.C.; Kwan, M.Y.W.; Chua, G.T. Rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron subvariant BA. 2 in a single-source community outbreak. Clin. Infect. Dis. 2022, 75, e44–e49. [Google Scholar] [CrossRef] [PubMed]
  32. Wilms, I.M.; Suykerbuyk-de Hoog, D.E.; de Visser, D.C.; Janzing, H.M. Appendectomy versus antibiotic treatment for acute appendicitis. Cochrane Database Syst. Rev. 2020, 10, Cd008359. [Google Scholar] [CrossRef] [PubMed]
  33. Bhangu, A.; Søreide, K.; Di Saverio, S.; Assarsson, J.H.; Drake, F.T. Acute appendicitis: Modern understanding of pathogenesis, diagnosis, and management. Lancet 2015, 386, 1278–1287. [Google Scholar] [CrossRef]
  34. Boserup, B.; McKenney, M.; Elkbuli, A. The impact of the COVID-19 pandemic on emergency department visits and patient safety in the United States. Am. J. Emerg. Med. 2020, 38, 1732–1736. [Google Scholar] [CrossRef] [PubMed]
  35. Mandeville, K.; Monuteaux, M.; Pottker, T.; Bulloch, B. Effects of Timing to Diagnosis and Appendectomy in Pediatric Appendicitis. Pediatr. Emerg. Care 2015, 31, 753–758. [Google Scholar] [CrossRef] [PubMed]
  36. Rothrock, S.G.; Pagane, J. Acute appendicitis in children: Emergency department diagnosis and management. Ann. Emerg. Med. 2000, 36, 39–51. [Google Scholar] [CrossRef]
  37. Brender, J.D.; Marcuse, E.K.; Koepsell, T.D.; Hatch, E.I. Childhood appendicitis: Factors associated with perforation. Pediatrics 1985, 76, 301–306. [Google Scholar] [CrossRef]
  38. Pogorelić, Z.; Anand, S.; Žuvela, T.; Singh, A.; Križanac, Z.; Krishnan, N. Incidence of Complicated Appendicitis during the COVID-19 Pandemic versus the Pre-Pandemic Period: A Systematic Review and Meta-Analysis of 2782 Pediatric Appendectomies. Diagnostics 2022, 12, 127. [Google Scholar] [CrossRef]
Medicina 59 00902 g001 550
Figure 1. Flow chart of included patients.
Figure 1. Flow chart of included patients.
Medicina 59 00902 g001
Medicina 59 00902 g002 550
Figure 2. Box plot for time to operation according to each period, including the pandemic and before the pandemic. P.A, Period A; P.B, Period B; P.C, Period C.
Figure 2. Box plot for time to operation according to each period, including the pandemic and before the pandemic. P.A, Period A; P.B, Period B; P.C, Period C.
Medicina 59 00902 g002
Table
Table 1. Baseline characteristics.
Table 1. Baseline characteristics.
Before the Pandemic (n = 326)Pandemic (n = 711)p-Value
Sex, male148 (45.4%)343 (48.2%)0.395
Age, years39.0 ± 20.642.4 ± 20.40.012
0.009
Child (<15)44 (13.5%)57 (8.0%)
Adult (15–64)242 (74.2%)537 (75.5%)
Eldely (≥65)40 (12.3%)117 (16.5%)
Underlying disease
Hypertension39 (12.0%)113 (15.9%)0.097
Diabetes mellitus18 (5.5%)40 (5.6%)0.946
Cancer11 (3.4%)27 (3.8%)0.736
Stroke3 (0.9%)12 (1.7%)0.337
Cardiovascular disease11 (3.4%)25 (3.5%)0.908
History of operation133 (40.8%)241 (33.9%)0.032
Time from symptom onset to ED, min47.8 ± 84.335.0 ± 54.10.003
ED, emergency department.
Table
Table 2. Clinical characteristics and outcomes according to pandemic period.
Table 2. Clinical characteristics and outcomes according to pandemic period.
VariablesBefore the Pandemic
(n = 326)		Pandemicp
Period A (n = 494)Period B (n = 112)Period C (n = 105)Total
Symptom onset, hour47.8 ± 84.335.3 ± 51.439.0 ± 61.829.7 ± 57.635.0 ± 54.10.054
Time from ED to antibiotics injection, min50.9 ± 84.338.4 ± 51.442.5 ± 62.032.7 ± 57.438.2 ± 54.10.053
Time from ED to operation room, hour14.3 ± 21.6718.8 ± 14.0218.8 ± 8.5718.3 ± 12.9518.7 ± 13.10.001
Hospital stay, day4.59 ± 2.884.84 ± 2.504.72 ± 2.514.51 ± 1.784.78 ± 2.410.451
Complication189 (58.0%)311 (62.7%)62 (55.4%)61 (58.1%)434 (60.1%)0.358
Peritonitis53 (16.3%)86 (17.3%)22 (19.6%)36 (34.3%)144 (20.2%)
Perforation100 (30.7%)172 (34.7%)29 (25.9%)15 (14.3%)216 (30.3%)
Abscess36 (11.0%)53 (10.7%)11 (9.8%)10 (9.5%)74 (10.4%)
Percentage without surgery12 (3.7%)21 (4.3%)6 (5.4%)4 (3.8%)31 (4.4%)0.738
ED, emergency department
Table
Table 3. Multivariable logistic regression analysis of complication development of acute appendices by pandemic group.
Table 3. Multivariable logistic regression analysis of complication development of acute appendices by pandemic group.
BS.E.OR95% CIp
Intercept0.10250.248690.7730.559–1.070.121
Sex0.232650.131881.2620.974–1.630.078
History of operation0.088860.143180.9150.691–1.210.535
Time from symptom onset to ED0.009610.009611.0101.006–1.01<0.001
Age
Adult(ref) *
Child0.106510.221611.1120.720–1.720.631
Elderly0.867960.220772.3821.545–3.67<0.001
Period
Before the pandemic(ref) **
Pandemic: Period A0.264580.152011.3030.967–1.76
Pandemic: Period B−0.021260.229180.9790.625–1.53
Pandemic: Period C0.105450.240241.1110.694–1.78
Nagelkerke R2 = 0.0904. The data are given as the value; p < 0.05 value was accepted as significant level and shown in bold. The p-value is the result of using logistic regression (Age (Child, Adult, Elderly), history of operation, time from onset, and time to antibiotics from onset were adjusted). ED, emergency department. * Each group was compared with the adult group as the reference. ** Each group was compared with the before the pandemic group as the reference.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Won, M.; Ahn, C. Epidemiology and Outcome of Acute Appendicitis during and before the COVID-19 Pandemic: A Retrospective Single-Center Analysis. Medicina 2023, 59, 902. https://doi.org/10.3390/medicina59050902

AMA Style

Won M, Ahn C. Epidemiology and Outcome of Acute Appendicitis during and before the COVID-19 Pandemic: A Retrospective Single-Center Analysis. Medicina. 2023; 59(5):902. https://doi.org/10.3390/medicina59050902

Chicago/Turabian Style

Won, Moonho, and Chiwon Ahn. 2023. "Epidemiology and Outcome of Acute Appendicitis during and before the COVID-19 Pandemic: A Retrospective Single-Center Analysis" Medicina 59, no. 5: 902. https://doi.org/10.3390/medicina59050902

APA Style

Won, M., & Ahn, C. (2023). Epidemiology and Outcome of Acute Appendicitis during and before the COVID-19 Pandemic: A Retrospective Single-Center Analysis. Medicina, 59(5), 902. https://doi.org/10.3390/medicina59050902

Article Metrics

Back to TopTop