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Research Article

Clinical characteristics and long-term consequences of COVID-19 patients in a dedicated COVID unit of a tertiary care hospital: an 8-month follow-up study

[version 1; peer review: 2 approved with reservations]
* Equal contributors
PUBLISHED 12 Jun 2023
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This article is included in the Emerging Diseases and Outbreaks gateway.

This article is included in the Coronavirus collection.

Abstract

Background:
Aim of the study was to assess the demographic, clinical characteristics, long term consequences of Bangladeshi coronavirus disease 2019 (COVID-19) patients and to see any association with severity of COVID-19 and post COVID-19 functional status (PCFS).

Methods:
This prospective cohort study was performed in the COVID-19 unit of Cumilla Medical College and Hospital, Cumilla, Bangladesh. Fifty-eight patients were consecutively selected. Data were collected by direct interview and from hospital archives. All patients were followed up at 6 and 8-months intervals over telephone calls. Data regarding age, gender, contact history with COVID-19 patients, travel history, smoking history, comorbidities, symptoms, severity of COVID-19, post COVID-19 symptoms and functional status were recorded

Results:
About 44 (75.9%) patients recovered with residual damage and one patient died. The common symptoms at admission were fever, cough, dyspnea and fatigue while at follow-up, fatigue, poor memory, dyspnea and insomnia were observed, which persisted after recovery but improved over time. There were 30 (51.7%) patients with severe COVID-19 disease and 11 (21.2%) patients suffered from functional limitation. After multivariate adjustment, patients with severe COVID-19 had an odds ratio (OR) of 1.08 (1.02-1.16) for age and patients with post-COVID-19 functional limitation showed OR of 1.05 (1.00-1.11) for age, OR of 10.83 (2.08-56.35) for female and OR of 27.48 (4.30-175.61) for smoking.


Conclusion:
Majority of the patients recovered but with persistence of post COVID-19 symptoms, and few patients even developed functional limitation. Age was a significant independent predictor for severe disease whereas higher age, female gender and smokers were at increased odds of developing post COVID-19 functional limitation.

Keywords

characteristics; consequences; COVID-19; follow-up; functional status

Introduction

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), has continued to pose a fatal threat causing substantial mortality and morbidity worldwide, resulting in more than 188 million confirmed cases and more than 4 million deaths worldwide.1 Since the first detection of COVID-19 on 8th March, 2020 in Bangladesh, a total of 1,071,774 cases were identified with 17,278 deaths till the writing of this article.1 The clinical spectrum of COVID-19 ranges from asymptomatic infection to critical illness.2 In most of the patients, the presentation is mild but hospitalization is needed in around 20% of patients, and around 5% require critical care with non-invasive or mechanical ventilation.3 A significant percentage of patients who recovered from the acute COVID-19, develop new or continue to have previous symptoms lasting weeks to months. Additionally, delayed resolution of symptoms has been seen even in patients with mild symptoms who did not require any hospitalization.4,5 This emerging condition has been given a variety of terms such as long COVID, post-acute COVID-19, chronic COVID-19, post-COVID syndrome or post-acute sequelae of SARS-CoV-2 infection (PASC).6 This new condition is posing a significant effect on people’s quality of life.

To understand the “Long COVID”, long-term follow-up studies are necessary. Few studies have looked into the persistent symptoms, functional limitations and lung functions of discharged patients with the longest follow-up duration being 6 months.711 Huang et al. found fatigue or muscle weakness, sleep difficulties and anxiety or depression as the most common symptoms 6 months following COVID-19 infection.8

As there is inadequacy of data on this new emerging condition in Bangladesh, we aimed to follow-up the COVID-19 patients for a longer period to describe the long-term consequences after hospital discharge and describe the functional limitation and potential risk factors.

Methods

Study design and procedure

This was a prospective cohort study performed in the COVID-19 unit of Cumilla Medical College and Hospital, Cumilla, Bangladesh. Fifty-eight reverse transcriptase polymerase chain reaction (RT-PCR) positive patients from nasopharyngeal sample were consecutively selected 18th to 25th July 2020, excluding those that denied to take part in the study. Data regarding demographic characteristics (age, gender, contact history with COVID-19 patients, travel history, smoking history) and clinical characteristics (comorbidities, symptoms, severity of COVID-19) were collected by direct interview using a preformed data collection form. Information regarding treatment, duration of hospital stay and patient outcome were taken from hospital archives. All patients were followed up at 6-month and 8-month from their date of admission. Follow-up was done over telephone call and data regarding post COVID-19 symptoms and functional status were recorded. Informed written consent was taken from all patients and ethical clearance of the study was taken from the institutional review board (registry number 2407).

Operational definition

The outcome of the patients was classified as recovered without residual damage (patients that were discharged and had no persistent symptoms), recovered with residual damage (discharged patients having persistent post COVID-19 symptoms) and death. Severity of COVID-19 was determined according to WHO severity definitions. Patients with oxygen saturation (SpO2) < 90%, respiratory rate >30 breaths/min and signs of respiratory distress were classified as severe COVID-19 while those patients not meeting the above criteria were categorized as non-severe COVID-19.12 The functional status of patients at follow-up was assessed using the post COVID-19 functional status scale (PCFS). Klok et al proposed the PCFS as an ordinal tool to measure the functional outcome of COVID-19 patients.13 The construct validity of the scale was demonstrated by Machado et al.14 Centers for Disease Control and Prevention (CDC) has also proposed PCFS as a tool for the assessment of functional outcome of patients with post COVID-19 conditions.15 According to post COVID-19 symptoms, daily activities and lifestyle, the PCFS scale is divided into 6 categories. Briefly, Grade 0 are patients with no post COVID-19 symptoms, Grade 1 are patients with post COVID-19 symptoms and negligible functional impairment, Grade 2 are patients with mild functional impairment, Grade 3 are patients with moderate functional impairment, Grade 4 are patients with severe functional impairment and Grade D are patients that died. For the purpose of this study, PCFS was combined into three groups: PCFS Grade 0 (patients with no post COVID-19 symptoms), PCFS Grade 1 (patients with post COVID-19 symptoms but negligible functional impairment) and PCFS Grades 2-4 (patients with functional impairment or limitation).

Statistical analysis

All data were analyzed using Statistical Packages for Social Sciences (SPSS) software version 23. Qualitative data were presented as frequency and percentages and analyzed using Pearson’s chi square test, likelihood ratio, Fisher’s exact test where appropriate while quantitative data were presented as mean ± standard deviation and analyzed using t-test for demographic and clinical variables. Comparison of post COVID-19 symptoms between 6-month and 8-month follow up was done using McNemar test. Analysis of factors associated with severe COVID-19 and PCFS was done by binary and ordinal logistic regression respectively. Multivariate analysis was adjusted for age, gender, smoking and co-morbidities. A p value < 0.05 was considered statistically significant.

Results

A total of 58 patients were included in the study. About 57 (98.3%) patients were discharged from the hospital. Among them, 10 (17.2%) patients recovered without residual damage and 47 (81.0%) recovered with residual damage. There was one case of death during hospital stay and one case of death after 6 months of discharge. Four patients were lost to follow-up.

The demographic and clinical characteristics of the study population are shown in Table 1. Twenty eight (48.3%) patients had non-severe disease and 30 (51.7%) patients suffered from severe COVID-19. The mean age of the study population was 47.79 ± 15.99 years and 53.4% were male. Around 38 (65.5%) patients had co-morbidities, which were diabetes mellitus (41.4%), hypertension (36.2%), ischaemic heart disease (20.7%), obesity (13.8%) and bronchial asthma (13.8%). The mean duration from symptom onset to hospital admission was 4.78 ± 2.73 days and mean duration of hospital stay was 15.37 ± 8.57 days. The common symptoms at admission were fever (87.9%), cough (72.4%), dyspnea (69.0%), fatigue (69.0%), anosmia (46.6%) and headache (36.2%). Severe COVID-19 patients received more oxygen, intravenous fluids, anticoagulant therapy, antiviral therapy and corticosteroid therapy than non-severe COVID-19 patients. Higher age, male gender, smoking, co-morbidities, diabetes mellitus, obesity, fever, cough, dyspnea at admission and increased duration of hospital stay were significantly associated with severe COVID-19 disease. Headache at admission was found more in non-severe COVID-19 patients.

Table 1. Demographic and clinical characteristics of study population.

Total (n = 58)Non-severe (n = 28)Severe (n = 30)p value
Age (years)47.79 ± 15.9937.21 ± 10.7057.67 ± 13.67<0.05*
Gender
Male31 (53.4%)9 (32.1%)22 (73.3%)0.002*
Female27 (46.6%)19 (67.9%)8 (26.7%)
History of contact with any COVID-19 patients within the last 14 days0.055
No14 (24.1%)7 (25.0%)7 (23.3%)
Yes21 (36.2%)14 (50.0%)7 (23.3%)
Unknown23 (39.7%)7 (25%)16 (53.3%)
History of travelling or residing in an area of lockdown13 (22.4%)8 (28.6%)5 (16.7%)0.277
Affected family members25 (43.1%)10 (35.7%)15 (50.0%)0.272
Smokers13 (22.4%)2 (7.1%)11 (36.7%)0.007*
Chewing betel nut8 (13.8%)2 (7.1%)6 (20.0%)0.256
Co-morbidities38 (65.5%)11 (39.3%)27 (90.0%)<0.05*
Diabetes mellitus24 (41.4%)5 (17.9%)19 (63.3%)<0.05*
Hypertension21 (36.2%)8 (28.6%)13 (43.3%)0.242
Ischaemic heart disease12 (20.7%)3 (10.7%)9 (30.0%)0.07
Obesity8 (13.8%)1 (3.6%)7 (23.3%)0.029*
Bronchial asthma8 (13.8%)3 (10.7%)5 (16.7%)0.509
Chronic obstructive pulmonary disease2 (3.4%)0 (0.0%)2 (100%)0.1
Chronic kidney disease2 (3.4%)0 (0.0%)2 (6.7%)0.1
Cerebrovascular disease2 (3.4%)0 (0.0%)2 (6.7%)0.1
Time from symptom onset to hospital admission (days)4.78 ± 2.733.85 ± 2.735.42 ± 2.610.11
Symptoms at admission
Fever51 (87.9%)21 (75.0%)30 (100.0%)0.001*
Cough42 (72.4%)16 (57.1%)26 (86.7%)0.012*
Dyspnea40 (69.0%)11 (39.3%)29 (96.7%)<0.05*
Fatigue40 (69.0%)19 (67.9%)21 (70%)0.860
Anosmia27 (46.6%)13 (46.4%)14 (46.7%)0.986
Headache21 (36.2%)14 (50.0%)7 (23.3%)0.035*
Anorexia19 (32.8%)10 (35.7%)9 (30.0%)0.643
Ageusia18 (31.0%)6 (21.4%)12 (40.0%)0.127
Diarrhea17 (29.3%)8 (28.6%)9 (30.0%)0.905
Sore throat16 (27.6%)10 (35.7%)6 (20.0%)0.181
Chest pain15 (25.9%)8 (28.6%)7 (23.3%)0.649
Nasal congestion14 (24.1%)7 (25.0%)7 (23.3%)0.882
Treatment received during hospital stay
Oxygen34 (58.6%)4 (14.3%)30 (100%)<0.05*
Intravenous fluids11 (19.0%)0 (0.0%)11 (36.7%)<0.05*
Antibiotic42 (72.4%)20 (71.4%)22 (73.3%)0.871
Anticoagulant38 (65.5%)11 (39.3%)27 (90%)<0.05*
Antiviral24 (41.4%)6 (21.4%)18 (60.0%)0.003*
Corticosteroid26 (44.8%)3 (10.7%)23 (76.7%)<0.05*
Duration of hospital stay (days)15.37 ± 8.5710.27 ± 4.9820.11 ± 8.54<0.05*
Transfer to ICU5 (8.6%)0 (0.0%)5 (16.7%)0.008*
Outcome0.192
Recovered without residual damage10 (17.2%)6 (21.4%)4 (13.3%)
Recovered with residual damage47 (81.0%)22 (78.6%)25 (83.3%)
Death1 (1.7%)0 (0.0%)1 (3.3%)

* p value < 0.05 is significant.

About 43 (82.7%) patients had at least one symptom at 6-month follow-up which was significantly reduced (p = 0.001) to 29 (55.8%) patients at 8-month follow-up (Figure 1A). The common post COVID-19 symptoms were fatigue, poor memory, dyspnea, insomnia, chest pain, alopecia, depression, anxiety, joint pain and among them, the former 7 symptoms were significantly reduced from 6-month to 8-month follow-up (57.5% to 40.4% for fatigue, 40.4% to 15.4% for poor memory, 28.8% to 13.5% for dyspnea, 26.9% to 13.5% for insomnia, 21.2% to 9.69% for chest pain, 19.2% to 3.8% for alopecia, 17.3% to 3.8% for depression, all p < 0.05). There was a statistically significant increase in PCFS Grade 0 (17.3% to 44.2%, p < 0.05) and decrease in PCFS Grade 1 (50.0% to 34.6%, p = 0.039) from 6-month to 8-month follow-up (Figure 1B). The 4 patients that were lost to follow-up and the 2 patients that died during hospital stay and 6 months following discharge were excluded from the statistical analysis.

abd252b7-1f3b-4ea5-9de5-b16153dd78c9_figure1a.gifabd252b7-1f3b-4ea5-9de5-b16153dd78c9_figure1b.gif

Figure 1. Follow-up of COVID-19 patients at 6-month and 8-month.

(A) Post COVID-19 symptoms; (B) Post COVID-19 Functional Status Scale (PCFS).

When the follow-up symptoms were further subdivided according to the severity of COVID-19, cough (23.1%) and visual blurriness (11.5%) were significantly associated with severe COVID-19 at 6 months while fatigue (56.0%) and insomnia (24.0%) were significantly associated with severe COVID-19 at 8 months (Table 2).

Table 2. Post COVID-19 symptoms at follow-up according to severity of COVID-19.

6-month follow-up (n = 53)8-month follow-up (n = 52)
Non-severe (n = 27)Severe (n = 26)p valueNon-severe (n = 27)Severe (n = 25)p value
Any symptoms21 (75.0%)22 (73.3%)0.88512 (42.9%)17 (56.7%)0.293
Fatigue16 (59.3%)15 (57.7%)0.9087 (25.9%)14 (56.0%)0.027*
Dizziness4 (14.8%)1 (3.8%)0.1582 (7.4%)1 (4.0%)0.595
Diarrhea1 (3.7%)2 (7.7%)0.5270 (0.0%)0 (0.0%)N/A
Dyspnea6 (22.2%)9 (34.6%)0.3172 (7.4%)5 (20.0%)0.179
Joint pain3 (11.1%)4 (15.4%)0.6462 (7.4%)4 (16.0%)0.329
Myalgia3 (11.1%)3 (11.5%)0.9610 (0.0%)1 (4.0%)0.223
Depression5 (18.5%)4 (15.4%)0.7610 (0.0%)2 (8.0%)0.082
Cough0 (0.0%)6 (23.1%)0.002*0 (0.0%)2 (8.0%)0.082
Headache2 (7.4%)1 (3.8%)0.5710 (0.0%)0 (0.0%)N/A
Insomnia5 (18.5%)9 (34.6%)0.1841 (3.7%)6 (24.0%)0.026*
Anxiety2 (7.4%)6 (23.1%)0.1050 (0.0%)0 (0.0%)N/A
Rhinitis3 (11.1%)1 (3.8%)0.3060 (0.0%)0 (0.0%)N/A
Alopecia7 (25.9%)3 (11.5%)0.1752 (7.4%)0 (0.0%)0.101
Poor memory11 (40.7%)10 (38.5%)0.8654 (14.8%)4 (16.0%)0.906
Chest pain5 (18.5%)6 (23.1%)0.6823 (11.1%)2 (8.0%)0.703
Anorexia2 (7.4%)4 (15.4%)0.3561 (3.7%)1 (4.0%)0.956
Sweating1 (3.7%)0 (0.0%)0.2420 (0.0%)0 (0.0%)N/A
Aggressive2 (7.4%)2 (7.7%)0.9691 (3.7%)0 (0.0%)0.249
Visual blur0 (0.0%)3 (11.5%)0.035*0 (0.0%)2 (3.8%)0.082

* p value < 0.05 is significant.

Table 3 shows the association of post COVID-19 functional status scale (PCFS) at 8-month follow-up with demographic and clinical characteristics of the study population. There were 23 (44.2%) patients with no post COVID-19 symptoms (PCFS grade 0), 18 (34.6%) patients having post COVID-19 symptoms with negligible functional impairment (PCFS grade 1) and 11 (21.2%) patients had some form of functional limitation (PCFS grade 2-4) even at 8 months. Patients with PCFS grades 2-4 showed significant association with severe COVID-19 diagnosis at admission, higher age, dyspnea, ageusia, diarrhea at admission and post COVID-19 fatigue, dyspnea, joint pain, insomnia, poor memory at 8-month follow-up when compared to patients with PCFS grade 0 and with higher age, increased duration of hospital stay, dyspnea and diarrhea at admission when compared to patients with PCFS grade 1. Post COVID-19 fatigue and poor memory were significantly associated with PCFS grade 1 when compared to PCFS grade 0.

Table 3. Association of Post COVID-19 Functional Status Scale (PCFS) with demographic and clinical characteristics of study population.

Post COVID-19 Functional Status Scale (PCFS) at 8-month follow-upp value
Grade 0 (n = 23)Grade 1 (n = 18)Grade 2-4 (n = 11)p1p2p3
Age (years)43.87 ± 16.7342.39 ± 11.0259.55 ± 16.000.7480.016*0.006*
Gender
Male13 (56.5)7 (38.9%)6 (54.5%)0.3501.0000.466
Female10 (43.5%)11 (52.4%)5 (45.5%)
Co-morbidities12 (52.2%)12 (66.7%)9 (81.8%)0.5240.1400.671
Diabetes mellitus6 (26.1%)8 (44.4%)6 (54.5%)0.3220.1380.710
Hypertension6 (26.1%)6 (33.3%)6 (54.5%)0.7340.1380.438
Ischaemic heart disease4 (17.4%)3 (16.7%)5 (45.5%)1.0000.1110.197
Obesity2 (8.7%)4 (22.2%)2 (18.2%)0.3770.5801.000
Bronchial asthma2 (8.7%)1 (5.6%)3 (27.3%)1.0000.3000.139
Symptoms at admission
Fever19 (82.6%)16 (88.9%)10 (90.9%)0.6791.0001.000
Cough14 (60.9%)14 (77.8%)9 (81.8%)0.3210.2711.000
Dyspnea14 (60.9%)10 (55.6%)11 (100.0%)0.7600.017*0.012*
Fatigue16 (69.6%)12 (66.7%)8 (72.7%)1.0001.0001.000
Anosmia12 (52.2%)10 (55.6%)3 (27.3%)1.0000.2710.249
Headache7 (30.4%)8 (44.4%)3 (27.3%)0.5151.0000.449
Anorexia12 (52.2%)4 (22.2%)1 (9.1%)0.0630.024*0.622
Ageusia4 (17.4%)7 (38.9%)6 (54.5%)0.1640.045*0.466
Diarrhea5 (21.7%)3 (16.7%)8 (72.7%)1.0000.008*0.005*
Sore throat6 (26.1%)8 (44.4%)2 (18.2%)0.3221.0000.234
Chest pain9 (39.1%)3 (16.7%)2 (18.2%)0.1710.2711.000
Nasal congestion6 (26.1%)5 (27.8%)2 (18.2%)1.0001.0000.677
Treatment received during hospital stay
Oxygen11 (47.8%)9 (50.0%)9 (81.8%)1.0000.0760.125
Antibiotic20 (87.0%)11 (61.1%)7 (63.6%)0.0750.1781.000
Anticoagulant10 (43.5%)14 (77.8%)9 (81.8%)0.0540.0641.000
Antiviral5 (21.7%)9 (50.0%)6 (54.5%)0.0970.1141.000
Corticosteroid7 (30.4%)8 (44.4%)6 (54.5%)0.5150.2620.710
Duration of hospital stay (days)14.91 ± 9.0813.35 ± 7.6120.73 ± 7.550.5590.0610.020*
Severity of COVID-19
Severe8 (34.8%)8 (44.4%)9 (81.8%)0.7480.026*0.064
Non-severe15 (65.2%)10 (55.6%)2 (18.2%)
Symptoms at 8-month follow-up
Fatigue0 (0.0%)12 (66.7%)9 (81.8%)<0.05*<0.05*0.671
Dizziness0 (0.0%)2 (11.1%)1 (9.1%)0.1870.3241.000
Dyspnea0 (0.0%)2 (11.1%)5 (45.5%)0.1870.002*0.071
Joint pain0 (0.0%)3 (16.7%)3 (27.3%)0.0770.028*0.646
Depression0 (0.0%)0 (0.0%)2 (18.2%)N/A0.0980.135
Cough0 (0.0%)0 (0.0%)2 (18.2%)N/A0.0980.135
Insomnia0 (0.0%)3 (16.7%)4 (36.4%)0.0770.007*0.375
Alopecia0 (0.0%)1 (5.6%)1 (9.1%)0.4390.3241.000
Poor memory0 (0.0%)4 (22.2%)4 (36.4%)0.030*0.007*0.433
Chest pain0 (0.0%)3 (16.7%)2 (18.2%)0.0770.0981.000
Anorexia0 (0.0%)1 (5.6%)1 (9.1%)0.4390.3241.000
Visual blur0 (0.0%)2 (11.1%)0 (0.0%)0.187N/A0.512

* p-value < 0.05 is significant.

Univariate analysis showed age (OR: 1.13; 95% CI: 1.07-1.21), male gender (OR: 5.81; 95% CI: 1.87-18.03), smoking (OR: 7.53; 95% CI: 1.49-37.99) and co-morbidities (OR: 13.91; 95% CI: 3.38-57.17) as predictors for severe COVID-19 but multivariate analysis showed only age (OR: 1.08; 95% CI: 1.02-1.16) as the significant factor for severe COVID-19. Age (OR: 1.04; 95% CI: 1.01-1.08) and smoking (OR: 9.38; 95% CI: 2.33-37.69) were predictors associated with PCFS grade 2-4 on univariate analysis but on multivariate analysis increased age (OR: 1.05; 95% CI: 1.00-1.11), female sex (OR: 10.83; 95% CI: 2.08-56.35) and smoking (OR: 27.48; 95% CI: 4.30-175.61) were at increased odds for developing post COVID-19 functional impairment (Table 4).

Table 4. Univariate and multivariate analysis of factors associated with severe COVID-19 and Post COVID-19 Functional Status Scale (PCFS).

Severe COVID-19PCFS Grade 2-4 at 8-month
Unadjusted OR (95% CI)Adjusted OR (95% CI)Unadjusted OR (95% CI)Adjusted OR (95% CI)
Age1.13 (1.07-1.21)*1.08 (1.02-1.16)*1.04 (1.01-1.08)*1.05 (1.00-1.11)*
Female**0.17 (0.06-0.54)*0.36 (0.07-1.84)1.28 (0.46-3.53)10.83 (2.08-56.35)*
Smoking7.53 (1.49-37.99)*1.72 (0.18-16.74)9.38 (2.33-37.69)*27.48 (4.30-175.61)*
Co-morbidities13.91 (3.38-57.17)*6.67 (0.94-47.42)2.57 (0.86-7.69)1.16 (0.28-4.71)

* p-value < 0.05 is significant.

** Reference comparison is male gender.

Discussion

In this prospective cohort study, the demographic and clinical characteristics of COVID-19 patients at admission, at 6-month and 8-month follow-up was assessed and their association was seen according to severity of COVID-19 and PCFS.

The mean age of the current study population was 47.79 ± 15.99 years with higher male preponderance. The common symptoms at admission were fever, cough, dyspnea and fatigue. These findings are similar to other previous studies.1619 The increased male predilection to COVID-19 maybe explained by increased expression of angiotensin converting enzyme receptor-2 (ACE-2) in male, increased resistance to infection by females due to sex hormones and irresponsible attitude of men towards preventive measures.20 Much like in this study, diabetes mellitus and hypertension were the common co-morbidities also in studies in Pakistan, China and France.17,18,21 About 98.3% patients were discharged from the hospital while 1.7% patient(s) died during hospital stay in the current study. Initial study from China reported 1.4% deaths17 but other studies have shown larger number of deaths, 25.1% in a Netherlands study,22 14% in a British study23 and 10.9% in a United States study.24 Lower proportion of deaths may be attributed to smaller sample size in the current study and lower co-morbidities in the Chinese study.

This study found severe COVID-19 patients had higher mean age, male majority, more smokers, more co-morbidities, greater presentations of fever, cough, dyspnea at admission and increased duration of hospital stay than non-severe COVID-19 patients. Patients with severe illness were older, predominantly male and likely to have co-morbidities in other studies as well.17,22,2530 Elderly people had reduced immune response due to immunosenescence, inflammaging, alteration of T-cell diversity, epigenetic changes and dysregulation of renin-angiotensin system (RAS) and also are prone to cytokine storm, specially due to age-related decline of oxidized nicotinamide dinucleotide, resulting in increased risk of severe infection.31 An Ethiopian study revealed cough, dyspnea, myalgia, headache, fever, chest pain and anosmia as common symptoms of severe COVID-1925 while a Chinese study reported increased expectoration, dyspnea, anorexia and confusion in the severe COVID-19.28 A study of 101 patients in Wuhan found no association of smoking with severity of COVID-1926 but a meta-analysis showed smoking to be significantly associated with severe disease.32 Smoking may result in upregulation of ACE-2 gene regulation, which may be the cause of increased severity of COVID-19 infection.33 The current study found age as the only significant independent predictor for severe COVID-19. Other studies reported older age, co-morbidities, increased white blood cell count, increased C-reactive protein and higher D-dimer at increased risk of developing severe disease.21,2527,29,30

The persistent post COVID-19 symptoms at follow-up of this study were fatigue, poor memory, dyspnea, insomnia, chest pain, alopecia, depression, anxiety and joint pain with 82.7% and 55.8% patients having at least one symptom at 6 and 8 months respectively. A large cohort study in Wuhan, China found 76% of patients had at least one post COVID-19 symptom at 6 months with females getting more affected than males. The common symptoms were fatigue or muscle weakness and sleep difficulties.8 Another Nigerian study found most common post COVID-19 symptoms to be fatigue, headache, chest pain and insomnia.9 The pathophysiology behind persistence of symptoms is still unknown but probable mechanisms maybe vascular inflammation, massive inflammatory response from cytokine storm and endothelial dysfunction by the coronavirus.9 Our study also revealed that over time, the post COVID-19 symptoms significantly reduced in frequency. Furthermore, patients with PCFS grade 0 increased and those with PCFS grade 1 decreased in frequency from 6 to 8-month follow-up. Hence, it can be postulated that the post-COVID 19 symptoms may improve with time. An article by O’Sullivan O, demonstrated that previous coronavirus outbreak, severe acute respiratory syndrome (SARS) and Middle-Eastern respiratory syndrome (MERS) coronavirus, also lead to long-term sequelae after recovery from disease and problems like fatigue, shortness of breath, reduced quality of life and mental health issues reduced with time and rehabilitation but still persisted even after 1 year from disease onset.34

Patients with functional impairment (PCFS grade 2-4) at 8 months were found to have higher age, increased symptoms of dyspnea, ageusia and diarrhea at admission, severe COVID-19 infection at admission and more post COVID-19 symptoms of fatigue, dyspnea, joint pain, insomnia and poor memory when compared to patient with no post COVID-19 sequelae (PCFS grade 0). PCFS grade 2-4 were found to be associated with female sex, age, duration of hospital stay, mechanical ventilation and admission to ICU by Taboada M et al.10 and de Graaf M et al. reported that patients with functional limitation were more likely to have longer period of hospital stay, needed mechanical ventilation, depression and cognitive impairments.7 After adjusting for confounding variables, our study found increasing age, female sex and smoking at higher odds of developing post COVID-19 functional limitation. A Spanish study demonstrated that age and duration of hospital stay were linked to higher functional impairment10 while another study reported that increased age, male gender, duration and need for mechanical ventilation during admission, length of hospital and ICU stay were associated with PCFS grade 2-4 at 6 months in patients who recovered from COVID-19 associated ARDS.11

There were, however, some limitations to the study. The study population was small, which led to smaller sample size of sub-groups, limiting the power of statistical analysis. The single center study may not be representative of the whole population. Four patients who were lost to follow-up, resulting in missing data and preventing detailed analysis of factors associated with the risk of severe COVID-19 and functional status of patients. Most of the patients belonged to a low- income group so few investigations were done; as a result, adequate data regarding investigation could not be taken. Due to the nature of telephone call follow-up, some information may be less accurate and subjected to memory bias. Our data was also lacking in baseline functional status scale scores, which could have provided a better picture of functional outcomes.

Conclusion

Despite the limitations, this paper provided some important information about the demographic, clinical characteristics and long-term follow up of Bangladeshi COVID-19 patients. To our knowledge, this is the first study to use PCFS as a tool to follow-up patients at two points of time after recovering from COVID-19, namely at 6 and 8 months. The demographic and clinical characteristics of the Bangladesh population were similar to those of other countries. Age was a significant independent predictor for severe COVID-19 disease. Majority of the patients recovered with persistent symptoms up to 6 months; symptoms improved with time but were still present even at 8 months. Patients with higher age, female gender and smoking history were more prone to develop functional impairment after recovery. Therefore, strategies should be aimed at rehabilitation of these patients to improve their outcome. A multi-centered prospective study of larger sample size and longer follow-up period with demographic, clinical, investigational and treatment data, including assessment of physical, functional, psychiatric and cognitive domain of recovered COVID-19 patients would provide a much more comprehensive health spectrum of the COVID-19 infection that can be representative of the whole population.

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Roy U, Mahiyuddin N, Kalam S and Ahmed T. Clinical characteristics and long-term consequences of COVID-19 patients in a dedicated COVID unit of a tertiary care hospital: an 8-month follow-up study [version 1; peer review: 2 approved with reservations] F1000Research 2023, 12:637 (https://doi.org/10.12688/f1000research.127398.1)
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ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
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Reviewer Report 30 Oct 2023
Alex BUOITE STELLA, School of Physiotherapy, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy 
Approved with Reservations
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I would like to thank the authors for the interesting work and the topic of long COVID remains important, despite a favourable amount of papers have discussed the relationship with the severity of the acute symptoms in relation to the severity ... Continue reading
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BUOITE STELLA A. Reviewer Report For: Clinical characteristics and long-term consequences of COVID-19 patients in a dedicated COVID unit of a tertiary care hospital: an 8-month follow-up study [version 1; peer review: 2 approved with reservations]. F1000Research 2023, 12:637 (https://doi.org/10.5256/f1000research.139900.r215220)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Reviewer Report 24 Jul 2023
Olayinka Rasheed Ibrahim, Department of Pediatrics, Federal Teaching Hospital & Department of Pediatrics, University of Ilorin, Ilorin, Nigeria 
Approved with Reservations
VIEWS 9
RE: Clinical characteristics and long-term consequences of COVID-19 patients in a dedicated COVID unit of a tertiary care hospital: an 8-month follow-up study

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This is well written manuscript and a few on data on ... Continue reading
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Ibrahim OR. Reviewer Report For: Clinical characteristics and long-term consequences of COVID-19 patients in a dedicated COVID unit of a tertiary care hospital: an 8-month follow-up study [version 1; peer review: 2 approved with reservations]. F1000Research 2023, 12:637 (https://doi.org/10.5256/f1000research.139900.r187110)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

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Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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