Clinical review of COVID-19 patients presenting to a quaternary care private hospital in South India: A retrospective study

Clinical characteristics and predictors of COVID-19 in a community sample from urban areas of Chennai, Southern India

In early 2020, with the arrival of the first case of COVID-19 in India, the laboratory at The Tamil Nadu Dr. MGR Medical University was recognized as a national testing site and received samples from two zones of Greater Chennai Corporation. This descriptive study analyzed the testing outcomes, along with demographics, self-reported symptoms, potential exposure to COVID-19 that were recorded in Sample Report Forms between June and September 2020. Nasopharygeal/oropharyngeal swabs were tested for SARS CoV-2 by RT-PCR Test. Of the 18,082 samples that were tested, 18% (3267) received a COVID-19 positive RT-PCR result for COVID-19. Among the COVID-19 positives, 40.9% (1336) were females (p < 0.000). Individuals in the age groups 21-30 and 31-40 years included the largest number (767, 23.48% each) of COVID-19 positive cases. The largest number of cases were from those who were classified as Severe Acute Respiratory Illness (SARI) or Influenza Like Illness (ILI) (1657, 50.7%) followed by those who reported direct contact with a COVID-19 lab confirmed case (1163, 35.6%). Among those with symptoms, 1791 (28.9%) tested COVID-19 positive compared to 1476 who were COVID-19 positive and asymptomatic (p < 0.001). Main symptoms were cough (32.1%), fever (48.3%), body ache (21.04%) and sore throat (30.60%). In multivariable analysis, history of SARI/ILI, contact with a confirmed case and having fever, cough and sore throat were the main predictors of being COVID-19 positive. Therefore, clinical and demographic characteristics correlated with COVID-19 positivity. And classification of patients based on self-reported symptoms and risk categories offers a model to prioritize testing and vaccination efforts.

Dynamic Changes in Circulatory Cytokines and Chemokines Levels in Mild to Severe COVID-19 Patients

Immune dysregulation is a key feature of the coronavirus disease-2019 (COVID-19). However, disparities in responses across ethnic groups are underappreciated. This study aimed to determine the relationship between chemokines and cytokines and the severity of COVID-19. Multiplex magnetic bead-based Luminex-100 was used to assess chemokine and cytokine levels in COVID-19 patients at admission (day-1) and after 4 days. The mean age of the patients recruited was 54.3 years, with 19 (63.3%) males. COVID-19 patients had significantly lower lymphocyte, monocyte, hemoglobin and eosinophil levels than controls (p < 0.05). COVID-19 patients showed significantly higher neutrophil levels than controls (p < 0.05). The baseline levels of IL-2, IL-6, IL-8, IL-10, and IFN-α/γ significantly increased in COVID-19 patients (p < 0.05). Chemokine levels (IP-10, MCP-1, MIG, and CCL-5) were significantly in COVID-19 patients. IL-8, IP-10, and MIG levels were significantly higher in the patients with severe COVID-19 (p < 0.05). Individuals with mild COVID-19 showed significantly higher levels of INF-α, IL-2, IL-6, and IL-8, whereas IL-10 levels were significantly lower (p < 0.05). TNF-levels decreased significantly in individuals with severe COVID-19, whereas IL-6, IL-8, and MIG levels increased (p < 0.05). After 4 days, INFα-, IL-2, IL-6, IL-8, IP-10, and MIG levels were significantly higher in patients with mild disease, whereas IL-6, MIG, and TNF-αlevels were significantly higher in patients with severe disease (p < 0.05). Thus, we conclude that COVID-19 is characterized by INF-α/γ, IL-6, IL-10, IP-10, MCP-1, MIG, and CCL5 dysregulation. IL-8, MIG, and IP-10 levels distinguish between moderate and severe COVID-19. Changes in INF-α, IL-2, IL-6, IL-8, IP-10, and MIG levels can be used to monitor disease progression.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12291-022-01108-x.

Prevalence of co-morbidities and its association with mortality in Indian patients with COVID-19: A meta-analysis

Background and Aims:

Coronavirus disease 2019 (COVID 19) has spread to every corner of the world and has led to significant health consequences, especially in patients with co morbidities. This study aimed to estimate the prevalence of co morbidities among COVID 19 patients in the Indian population and their association with mortality.

Methods:

PubMed, Google Scholar, and World Health Organization website were searched for Indian studies on COVID 19 published from February 2020 up to 20 May 2021. English language publications from India, studies reporting epidemiological characteristics, prevalence of co morbidities and in hospital mortality were included in the meta analysis.

Results:

34 studies were identified with a total of 23,034 patients. The pooled prevalence for co morbidities in COVID 19 patients was 18.1% [95% confidence interval (CI), 13.3 to 24.3%] for hypertension, 17.7% (95% CI, 12.2 to 25.1%) for diabetes, 7.9% (95% CI, 4.6 to 13.4%) for hypothyroidism and 7.7%(95% CI, 4.8 to 12. 1%) for cardiovascular diseases. For chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), cerebrovascular diseases, asthma, chronic liver disease, tuberculosis and cancer, the pooled prevalence was less than 4%. Additionally, the mortality risk was increased significantly in patients with CKD [odds ratio (OR) = 4.1], COPD (OR = 3.9), diabetes (OR = 3.7), cardiovascular diseases (OR = 4.07), tuberculosis (OR = 6.11), chronic liver disease (OR = 8.5), malignancy (OR = 1.89) and hypertension (OR = 2.9). Cerebrovascular diseases, hypothyroidism and asthma were not associated with increased mortality.

Conclusion:

Co-morbidities are more prevalent in COVID 19 hospitalised patients and the presence of co morbidities is associated with increased risk of mortality in Indian COVID 19 patients.

Epidemiology and Risk Factors of COVID-19-Related Mortality

Introduction

During the coronavirus disease 2019 (COVID-19) pandemic in India, several characteristics of hospitalized COVID-19 patients, based on demographics, mortality predictors, and presence of comorbidities, were found to be associated with poor outcomes. The objective of this study was to identify such epidemiological and clinical characteristics among the patients admitted at a tertiary-care center in India that may have predisposed them to COVID-19-related mortality.

Methods

This retrospective observational study conducted at the Department of Medicine, All India Institute of Medical Sciences, New Delhi, in May 2021 included 141 COVID-19 confirmed patients. The medical history, demographic characteristics, comorbidities, clinical findings, and laboratory data of each patient were obtained. The data were analyzed to identify significant clinical and laboratory parameters that led to the adverse final outcomes.

Results

Hypertension was the most common comorbidity and the presence of diabetes with hypertension led to poorer final outcomes. Lower oxygen saturation and requirement of oxygen supplementation at admission along with worse prognostic scores during admission led to poorer outcomes. Twenty-seven patients needed non-invasive ventilation (NIV) during the hospital course, and all ultimately landed up among the 56 patients who were managed on invasive mechanical ventilation (IMV). Multivariate logistic regression analysis performed identified COVID-19 severity at admission, co-existence of hypertension and diabetes mellitus, systolic blood pressure less than 90 mm Hg, and serum creatinine greater than 1.2 mg/dL to be associated with higher COVID-19 mortality.

Conclusion

COVID-19 patients having the co-existence of diabetes and hypertension constitute a high-risk group and may be targeted by prompt vaccination strategies. The presence of severe disease along with a need for oxygen therapy and other intensive care interventions ultimately led to unfavorable outcomes.

Covid-19 and Gastrointestinal Manifestations in Indian Patients: A Meta-Analysis

BACKGROUND

India has the second highest number of confirmed Coronavirus cases in the world after the USA with 29.3 million cases reported so far. We aimed to perform a systematic review and meta-analysis of the clinical characteristics, comorbidities, and outcomes of SARS-CoV-2 positive patients with special emphasis on Gastrointestinal (GI) manifestations.

METHODS

In this meta-analysis, we conducted a systematic review of high-quality articles on confirmed COVID-19 cases in India published in PubMed and Google Scholar between February 2020 and March 2021. Statistical descriptive analysis and correlation analyses of symptoms, comorbidities and outcomes were performed.

RESULTS

The mean age of the patients was 46.16 years. Of these, 67.53% were males. Overall, 6.4% patients died. Cough (37.79%) was the most common presenting symptom followed by fever (35.5%), nasal congestion, and rhinorrhea (23.60%) but, these symptoms were unrelated to outcome. Patients with shortness of breath (r = 0.69, p = 0.03) and fatigue/weakness (r = 0.95, p = 0.04) had high mortality. Hypertension and Diabetes Mellitus were the most common comorbidities but were not associated with negative outcome. Preexisting chronic kidney disease (r = 0.80, p = 0.01), mechanical ventilation (r = 0.895, p = 0.003) and ICU admission (r = 0.845, p = 0.008) correlated with poor outcome. GI symptoms were reported in 12.05% of the patients. Nausea and vomiting were the most prevalent GI symptoms, but diarrhea (r = 0.95, p = 0.004) was associated with significant mortality.

CONCLUSION

Overall, COVID-19 patients in India present with cough, fever, shortness of breath and fatigue as the main symptoms. Among GI symptoms, diarrhea was associated with fatal outcomes. However, more high-quality studies are needed for better understanding of the GI manifestations and their outcomes in the Indian population.

Clinical outcomes of hospitalized COVID-19 patients with renal injury: a multi-hospital observational study from Wuhan

Renal injury is common in patients with coronavirus disease 2019 (COVID‐19). We aimed to determine the relationship of estimated glomerular filtration rate (eGFR) and acute kidney injury (AKI) with the characteristics, progression, and prognosis of COVID-19 in-patients. We retrospectively reviewed 1851 COVID-19 patients admitted to 3 hospitals in Wuhan, China. Clinical, laboratory, radiological, treatment, complication, and outcome data were analyzed. Patients were stratified according to levels of eGFR (≥ 90 vs. 60–89 vs. < 60 mL/min/1.73 m²). The risk of reaching the composite endpoint—intensive care unit admission, invasive ventilation, or death—was compared. On admission, 25.5% patients had renal impairment (eGFR < 90 mL/min/1.73 m²), but only 2.6% patients had chronic kidney disease (CKD). The overall in-hospital AKI incidence was 6.7%. Severe illness and comorbidities (hypertension, diabetes, CKD, and cardiovascular/cerebrovascular diseases) were more common among patients with low eGFR (< 90 mL/min/1.73 m²). Despite the more frequent use of intensive oxygen therapy, continuous blood purification, and glucocorticoid treatment, the prognosis of these patients was unsatisfactory, with the incidence of the composite endpoint (15.4% vs. 19.6% vs. 54.5%; P = 0.000) and complications (AKI, respiratory failure, cardiac injury, coagulation disorders, sepsis, etc.) increasing with decreasing eGFR. Kaplan–Meier survival analysis revealed that patients with eGFR < 90 mL/min/1.73 m² or AKI had significantly escalated risks of reaching the composite endpoint. Multivariate regression analysis showed that renal insufficiency (eGFR < 60 mL/min/1.73 m²) on admission and in-hospital AKI independently predicted poor prognosis among COVID-19 in-patients. And renal impairment on admission was a greater predictor of poor prognosis in non-elderly patients than that in elderly patients. Early and continuous renal-function monitoring and early AKI diagnosis are necessary to predict and prevent the progression of COVID-19.