Long term predictors of breathlessness, exercise intolerance, chronic fatigue and well-being in hospitalized patients with COVID-19: A cohort study with 4 months median follow-up.

BACKGROUND: Post-acute COVID-19 syndrome (PACS) is an emerging healthcare burden. We therefore aimed to determine predictors of different functional outcomes after hospital discharge in patients with COVID-19. METHODS: An ambidirectional cohort study was conducted between May and July 2020, in which PCR-confirmed COVID-19 patients underwent a standardized telephone assessment between 6 weeks and 6 months post discharge. We excluded patients who died, had a mental illness or failed to respond to two follow-up phone calls. The medical research council (MRC) dyspnea scale, metabolic equivalent of task (MET) score for exercise tolerance, chronic fatigability syndrome (CFS) scale and World Health Organization-five well-being index (WHO-5) for mental health were used to evaluate symptoms at follow-up. RESULTS: 375 patients were contacted and 153 failed to respond. The median timing for the follow-up assessment was 122 days (IQR, 109-158). On multivariate analyses, female gender, pre-existing lung disease, headache at presentation, intensive care unit (ICU) admission, critical COVID-19 and post-discharge ER visit were predictors of higher MRC scores at follow-up. Female gender, older age >67 years, arterial hypertension and emergency room (ER) visit were associated with lower MET exercise tolerance scores. Female gender, pre-existing lung disease, and ER visit were associated with higher risk of CFS. Age, dyslipidemia, hypertension, pre-existing lung disease and duration of symptoms were negatively associated with WHO-5 score. CONCLUSIONS: Several risk factors were associated with an increased risk of PACS. Hospitalized patients with COVID-19 who are at risk for PACS may benefit from a targeted pre-emptive follow-up and rehabilitation programs.

Prevalence and predictors of Post-Acute COVID-19 Syndrome (PACS) after hospital discharge: A cohort study with 4 months median follow-up.

BACKGROUND: Post-acute COVID-19 syndrome (PACS) is an emerging healthcare burden. The risk factors associated with PACS remain largely unclear. The aim of this study was to evaluate the frequency of new or persistent symptoms in COVID-19 patients post hospital discharge and identify associated risk factors. METHODS: Our prospective cohort comprised of PCR-confirmed COVID-19 patients admitted to King Fahad Medical City, Riyadh, Saudi Arabia between May and July 2020. The patients were interviewed through phone calls by trained physicians from 6 weeks up to 6 months post hospital discharge. Multivariate Cox proportional hazards and logistic regression models were used to examine for predictors associated with persistence of symptoms and non-return to baseline health. RESULTS: 222 COVID-19 patients responded to follow-up phone interviews after a median of 122 days post discharge. The majority of patients were men (77%) with mean age of 52.47 (± 13.95) years. 56.3% of patients complained of persistent symptoms; 66 (29.7%) experiencing them for >21 days and 64 (28.8%) reporting not having returned to their baseline health. Furthermore, 39 patients (17.6%) reported visiting an emergency room post discharge for COVID-19-related symptoms while 16 (7.2%) had required re-hospitalization. Shortness of breath (40.1%), cough (27.5%) and fatigue (29.7%) were the most frequently reported symptoms at follow-up. After multivariable adjustments, female gender, pre-existing hypertension and length of hospital stay were associated with an increased risk of new or persistent symptoms. Age, pre-existing lung disease and emergency room visits increased the likelihood of not fully recovering from acute COVID-19. Patients who were treated with interferon ß-1b based triple antiviral therapy during hospital stay were less likely to experience new or persistent symptoms and more likely to return to their baseline health. CONCLUSIONS: COVID-19 survivors continued to suffer from dyspnea, cough and fatigue at 4 months post hospital discharge. Several risk factors could predict which patients are more likely to experience PACS and may benefit from individualized follow-up and rehabilitation programs.

Relationship of body mass index to sleep duration, and current smoking among medical students in Tabuk City, Saudi Arabia.

BACKGROUND: Being overweight is associated with cardiometabolic risk, and lifestyles including smoking and good sleep hygiene are also implicated. We aimed to assess the dietary habit, time spent on social media, and sleep duration relationship to body mass index (BMI) among medical students in Tabuk, Saudi Arabia. METHODS: A cross-sectional study was conducted among 147 clinical phase medical students in the Medical College, University of Tabuk (Saudi Arabia) from January 2018 to May 2018. A checklist questionnaire was used to measure variables such as age, sex, smoking, level of exercise, whether taking meals and snacks regularly, eating fast food, fruit and vegetable consumption, sleep duration, time spent on social media, and breakfast skipping. Data were analyzed by IBM-SPSS version 20, using one-way ANOVA and Pearson's production-moment correlation (r). A p-value of less than 0.05 was considered statistically significant. RESULTS: Participants consisted of 51% males, mean age (Mean ± SD) was 22.90±1.27 years, sleep duration was 7.50±2.17 hours, time spent on social media was 5.54±3.49 hours, body mass index was 24.8±5.19, and breakfast skipping, fast food consumption, smoking, and regular exercise were reported in 52.4%, 87.7%, 12.9%, and 36.1% respectively. A significant negative correlation was evident between BMI and sleep duration (r= -0.185, p=0.025), cigarette smokers were more likely to be obese compared to their counterparts (27.28±6.85 vs. 24.10±4.98, p=0.018). No significant statistical relationship was evident between BMI, breakfast skipping, fast food, fruit and vegetable intake, and time spent on social media. CONCLUSION: BMI was higher among smokers and those with shorter sleep duration, there was no association between BMI and other students' characteristics. Measures to smoking quitting and good sleep hygiene are recommended.