Background: The objective of the study was to identify the factors that alter the length of hospital stay of COVID-19 patients so we have an estimate of the duration of hospitalization of patients. To achieve this, we used a time to event analysis to arrive at factors that could alter the length of hospital stay, aiding in planning additional beds for any future rise in cases. Methods: Information about COVID-19 patients was collected between June and August 2020. The response variable was the time from admission to discharge of patients. Cox proportional hazard model was used to identify the factors that were associated with the length of hospital stay. Results: A total of 730 COVID-19 patients were included, of which 675 (92.5%) recovered and 55 (7.5%) were considered to be right-censored, that is, the patient died or was discharged against medical advice. The median length of hospital stay of COVID-19 patients who were hospitalized was found to be 7 days by the Kaplan Meier curve. The covariates that prolonged the length of hospital stay were found to be abnormalities in oxygen saturation (HR = 0.446, P < .001), neutrophil-lymphocyte ratio (HR = 0.742, P = .003), levels of D-dimer (HR = 0.60, P = .002), lactate dehydrogenase (HR = 0.717, P = .002), and ferritin (HR = 0.763, P = .037). Also, patients who had more than 2 chronic diseases had a significantly longer length of stay (HR = 0.586, P = .008) compared to those with no comorbidities. Conclusion: Factors that are associated with prolonged length of hospital stay of patients need to be considered in planning bed strength on a contingency basis.

Objective To identify factors associated with recovery time from coronavirus disease 2019 (COVID-19). Methods In this retrospective study, data for patients with COVID-19 were obtained between 21 June and 30 August 2020. An accelerated failure time (AFT) model was used to identify covariates associated with recovery time (days from hospital admission to discharge). AFT models with different distributions (exponential, log-normal, Weibull, generalized gamma, and log-logistic) were generated. Akaike’s information criterion (AIC) was used to identify the most suitable model. Results A total of 730 patients with COVID-19 were included (92.5% recovered and 7.5% censored). Based on its low AIC value, the log-logistic AFT model was the best fit for the data. The covariates affecting length of hospital stay were oxygen saturation, lactate dehydrogenase, neutrophil-lymphocyte ratio, D-dimer, ferritin, creatinine, total leucocyte count, age > 80 years, and coronary artery disease. Conclusions The log-logistic AFT model accurately described the recovery time of patients with COVID-19.

Background: Arterial and venous thrombosis is one of the major complications of coronavirus disease 2019 (COVID-19) infection. Studies have not assessed the difference in D-dimer levels between patients who develop thrombosis and those who do not. Methods:Our study retrospectively assessed D-dimer levels in all virus confirmed hospitalized patients between May to September, 2020. Patients were divided into three groups: group 1 with normal D-dimer of < 0.5 µg/mL, group 2 with elevation up to six folds, and group 3 with more than six-fold elevation. Statistical analysis was done using SPSS software 23.0.Results: Seven hundred twenty patients (group1 (n = 414), group 2 (n = 284) and group 3 (n = 22)) were studied. Eight thrombotic events were observed. Events were two with stroke, two non-ST elevation myocardial infarction and one each of ST elevation myocardial infarction, superior mesenteric artery thrombosis with bowel gangrene, arteriovenous fistula thrombus and unstable angina. No significant difference (P = 0.11) was observed between median D-dimer levels among patients who developed thrombosis (1.34) and those who did not develop thrombosis (0.91). Twenty-nine patients died. The adjusted odds of death among those with a six-fold or higher elevation in D-dimer was 128.4 (95% confidence interval (CI): 14.2 -446.3, P < 0.001), while adjusted odds of developing clinical thrombosis was 1.96 (95% CI: 0.82 -18.2, P = 0.18). Conclusions:Our study observed a 1.1% in-hospital incidence of clinical thrombosis. While, a six-fold elevation in D-dimer was significantly associated with death; the same was not a strong predictor of thrombosis; an observation which implies that dose of anticoagulation should not be based on absolute D-dimer level.

Objectives: This study aimed to assess the outcome and mortality predictors of SARS-CoV-2 infection requiring hospitalization among elderly population. Methods: In this retrospective study, hospitalized elderly people with virologically confirmed SARS-CoV-2 infection were evaluated. Participants were divided into three groups of mild, moderate, and severe based on oxygenation. The primary outcome was death or discharge to home. Results: A total of 169 patients were studied (mean age: 68 years). Apart from respiratory symptoms, other reported symptoms included gastrointestinal complaints in 11% (n = 19), acute stroke in 1.1% (n = 2), delirium in 1.7% (n = 3), and anosmia or ageusia in 8.88% (n = 15). Also, 65 (38.5%) patients required oxygen support, 25 (14.7%) were admitted to the intensive care unit (ICU), 7 (4.1%) required non-invasive ventilation (Fio2 0.6 to 1.0), 14 (8.28%) were mechanically ventilated. 72 (42%) received steroid, and 100 (59%) received prophylactic heparin. Overall mortality was 12.4% (n = 21). Gender had no effect on mortality (P = 0.83). Presence of ≥ 3 risk factors, elevated neutrophil lymphocyte ratio, D-dimer, and lactate dehydrogenase, were associated with mortality (P = 0.001, P = 0.0005, P = 0.05, and P = 0.0005, respectively). Sepsis and cardiovascular events were higher among those who died. Conclusions: We observed a low mortality among the elderly treated with steroids compared to studies done in the pre-steroid period. Elevated NLR, LDH, and D-dimer were associated with mortality.

We report a case of Kimura’s disease in a 65-year-old woman who presented with generalised itching, abdominal pain, facial puffiness, difficulty in swallowing and loss of appetite. She was found to have generalised lymphadenopathy and a fine-needle aspiration cytology initially done revealed ‘reactive lymphadenitis’ which was inconclusive. PET-CT done showed features suggestive of lymphoma. Hence, lymph node biopsy was done for confirmation and incidentally after immunohistochemistry staining it turned out to be Kimura’s disease. High-dose steroid therapy was started and patient showed dramatic clinical and symptomatic improvement. Kimura’s disease almost always presents as cervical lymphadenopathy and usually never causes compressive symptoms. Our patient presented with compressive symptoms and generalised lymphadenopathy which is a rarity.