scholarly journals Adolescents Hospitalized with SARS-CoV-2: Analysis of Clinical Profile and Risk Factors for Severe Disease over a two-year period

2022 ◽  
Author(s):  
Tamoghna Ghosh ◽  
Tejas M Suri ◽  
Kana Ram Jat ◽  
Aditya Kumar Gupta ◽  
Sushma Bhatnagar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Severe Disease ◽  
Tertiary Hospital ◽  
Clinical Profile ◽  
North India ◽  
Mild Disease ◽  
Reactive Protein ◽  
Northern India ◽  
Severity Grading ◽  
Second Wave

Introduction: There is a lack of studies in adolescents with COVID-19 from developing countries. We aimed to describe the clinical profile and risk factors for severe disease in adolescents hospitalized with COVID-19. Methods: A retrospective analysis of a prospectively admitted cohort of COVID-19 patients was performed at a tertiary hospital in north India. Adolescents aged 12 to 18 years who were hospitalized during the first wave (March 2020 to December 2020) and the second wave (March 2021 to June 2021) of the pandemic were included. Data on the demographic details, clinical presentation, laboratory parameters, disease severity at admission, treatments received, and in-hospital outcomes were retrieved and logistic regression was used to identify the risk factors for occurrence of moderate or severe disease. Results: The study included 197 adolescents with median (IQR) age 15 (13-17) years, of whom 117 (59.4%) were male. Among these, 170 (86.3%) were admitted during the 1st wave. Underlying comorbidities were present in 9 (4.6%) patients. At the time of hospital admission, 60 (30.9%) patients were asymptomatic. In the severity grading, 148 (84.6%) had mild, 16 (9.1%) had moderate, and 11 (6.3%) had severe disease. Fever (14.9%) and cough (14.9%) were the most commonly encountered symptoms. The median (IQR) duration of hospital stay was 10 (8-13) days and 6 (3.1%) patients died in hospital. The odds of moderate to severe disease were 3.8 for second wave, 1.9 for fever and 1.1 for raised C reactive protein (CRP). Conclusion: In our single-center study from northern India, adolescents admitted with COVID-19 had predominantly asymptomatic or mild disease. Admission during the second wave of COVID-19 pandemic, presence of fever and raised CRP were risk factors for moderate or severe disease.

scholarly journals Effect of plasma glucose at admission on COVID-19 mortality: experience from a tertiary hospital

2021 ◽  
Author(s):  
Bharat Kumar ◽  
Madhukar Mittal ◽  
Maya Gopalakrishnan ◽  
Mk Garg ◽  
Sanjeev Misra
Keyword(s):  
Plasma Glucose ◽  
Strong Predictor ◽  
Severe Disease ◽  
Tertiary Care ◽  
High Sensitivity ◽  
Tertiary Hospital ◽  
Mild Disease ◽  
Glucose Levels ◽  
Reactive Protein ◽  
Ethical Approval

Objective: Plasma glucose has been correlated with in-hospital mortality among many diseases including infections. We aimed to study plasma glucose at admission of hospitalized patients with COVID-19 at a tertiary care referral hospital at Jodhpur, India and its relation with mortality. Design: A hospital-based clinical study of plasma glucose of COVID-19 patients conducted from May 15th to June 30th, 2020 after ethical approval. Measurements: Random blood samples at admission were collected for plasma glucose, interleukin-6 (IL-6) and high sensitivity C-reactive protein (hsCRP) after written informed consent. Plasma glucose was analyzed by automated analyzer, IL-6 by chemiluminescent immunoassay and hsCRP by immune-turbidimetric assay. Results: A total of 386 patients studied (female 39.6%); 11.1% had severe disease and 4.1% expired. There were 67 (17.4%) patients with known diabetes mellitus (DM). Patients with history of DM had three times higher mortality (6/66, 9%) than those without DM (10/319, 3.1%). Patients with moderate and severe disease according to ICMR and WHO grading had higher plasma glucose than those with asymptomatic or mild disease (p<0.0001). Plasma glucose levels at admission were significantly higher in non-survivors when compared to those who survived (297±117 vs. 131±73; p<0.0001). COVID-19 patients showed increasing mortality with incremental plasma glucose levels. Hazard ratio for mortality was 1.128 (95%CI 0.86-14.860),1.883 (95%CI 0.209-16.970), and 4.005 (95%CI 0.503-32.677) in random plasma glucose group of >100-200, >200-300 and >300mg/dl respectively compared to those with random plasma glucose of <100mg/dl at admission. Plasma glucose was strongly correlated with hsCRP (p<0.001) and IL-6 (p<0.0001). Conclusions: Plasma glucose at admission in hospitalized COVID-19 patients is a strong predictor of mortality.

scholarly journals Outpatient Management of COVID-19 Disease: A Holistic Patient-Centered Proposal Based on the Greek Experience

2021 ◽  
Vol 11 (8) ◽  
pp. 709
Author(s):  
Adamantia Liapikou ◽  
Eleni Tzortzaki ◽  
Georgios Hillas ◽  
Miltiadis Markatos ◽  
Ilias C. Papanikolaou ◽  
...  
Keyword(s):  
Preventive Measures ◽  
Severe Disease ◽  
Hospital Setting ◽  
Guidance Document ◽  
Outpatient Management ◽  
Patient Centered ◽  
Mild Disease ◽  
Novel Coronavirus ◽  
Second Wave ◽  
Close Contacts

Novel coronavirus disease 2019 (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a worldwide pandemic and affected more than 227 countries or territories, resulting in more than 179 million cases with over 3.890.00 deaths, as of June 25, 2021. The Hellenic Thoracic Society (HTS) during the second wave of COVID-19 pandemic released a guidance document for the management of patients with COVID-19 in the community and in hospital setting. In this review, with guidance the HTS document, we are discussing the outpatient management of COVID-19 patients, including the preventive measures, the patients’ isolation and quarantine criteria of close contacts, the severity and risk stratification, including the decisions for advanced hospitalization, and the disease management at home in patients with mild disease and after hospital discharge for those with more severe disease.

scholarly journals Risk factors and clinical profile of ischemic heart disease in north India

2018 ◽  
Vol 4 (6) ◽  
pp. 846-851
Author(s):  
Ashish Akshay Bedi ◽  
Ankit Gaur ◽  
Sourabh Kosey ◽  
Deepanshu Kumar Chitra ◽  
Kuldeep Singh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Disease ◽  
Ischemic Heart Disease ◽  
Clinical Profile ◽  
Ischemic Heart ◽  
North India

scholarly journals Study of risk factors among stroke patients in a tertiary hospital of Northern India

2017 ◽  
Vol 4 (2) ◽  
pp. 446
Author(s):  
Amit Kumar ◽  
Onkar Nath Rai
Keyword(s):  
Risk Factors ◽  
Tertiary Hospital ◽  
Stroke Incidence ◽  
Medical College ◽  
Northern India ◽  
Different Types ◽  
History Of ◽  
Chest X Ray ◽  
Associated Risk Factors

Background: Stroke is one of the leading causes of death and disability worldwide. The aim of the study was to find out the incidence of different types of strokes and the associated risk factors and to establish the role of different investigations in patients of stroke.Methods: The study dealt with 100 patients of stroke who were admitted to B. R. D. Medical College, Gorakhpur, India. Each patient was analyzed in detail about clinical presentation and the investigations were aimed to establish the pathologic type of stroke and estimation of risk factors.Results: Stroke incidence was more in males (Male: Female= 1.43:1). Maximum incidence of stroke was in 6th decade (32%) followed by 7th decade (30%). Among modifiable risk factors, history of hypertension was the commonest (51%) followed by smoking (36% patients) exclusively, found in males. Hemiparesis was the most common presentation (95%) followed by altered sensorium (55%). Chest X-ray was abnormal in 16% patients, abnormal ECG was found in 27% patients and abnormal lipid values were found in 54 patients.Conclusions: Apart from control of hypertension and diabetes, abnormal lipid profile remains an important modifiable risk factor for stroke.

scholarly journals Premorbid Echocardiography And Risk of Hospitalization In COVID-19

2022 ◽  
Author(s):  
Harsh Goel ◽  
Kashyap Shah ◽  
Janish Kothari ◽  
Timothy Daly ◽  
Pooja Saraiya ◽  
...  
Keyword(s):  
Risk Factors ◽  
Left Atrial ◽  
Severe Disease ◽  
Vaccine Hesitancy ◽  
Hospital Death ◽  
Rt Pcr ◽  
Mild Disease ◽  
Global Pandemic ◽  
Artery Disease

Abstract Background: COVID-19 has caused an unprecedented global pandemic, with cardiovascular risk factors predicting outcomes. We investigated whether baseline trans-thoracic echocardiography could refine risk beyond clinical risk factors. Methods: Symptomatic COVID-19 positive (RT-PCR) adults across St Luke’s University Health Network between March 1st-October 31st 2021, with trans-thoracic echocardiography (TTE) within 15-180 days preceding COVID-19 positivity were selected. Demographic/clinical/echocardiographic variables were extracted from patients’ EHR and compared between groups stratified by disease severity. Logistic regression was used to identify independent predictors of hospitalization. Results: 192 patients were included. 87 (45.3%) required hospitalization, 34 (17.7%) suffered severe disease (need for ICU care/mechanical ventilation/in-hospital death). Age, co-morbidities, and several echocardiographic abnormalities were more prevalent in moderate-severe versus mild disease. On multivariate analysis, age (OR 1.039, 95% CI 1.011-1.067), coronary artery disease (OR 4.184, 95% CI 1.451-12.063), COPD (OR 6.886, 95% CI 1.396-33.959) and left atrial (LA) diameter ≥4.0cm (OR 2.379, 95% CI 1.031-5.493) predicted need for hospitalization. Model showed excellent discrimination (ROC AUC 0.809, 95% CI 0.746-0.873). Conclusion: Baseline LA enlargement independently predicts risk of hospitalization in COVID-19. When available, baseline LA enlargement could identify patients for 1) closer outpatient follow-up, and 2) counseling vaccine-hesitancy.

scholarly journals Risk factors for clinical progression in patients with COVID-19: a retrospective study of electronic health record data in the United Kingdom

2020 ◽  
Author(s):  
Robert A Fletcher ◽  
Thomas Matcham ◽  
Marta Tibúrcio ◽  
Arseni Anisimovich ◽  
Stojan Jovanović ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mechanical Ventilation ◽  
Logistic Regression ◽  
Body Temperature ◽  
Blood Cell ◽  
Severe Disease ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Multivariable Logistic Regression ◽  
D Dimer

Background: The novel coronavirus disease 2019 (COVID-19) outbreak presents a significant threat to global health. A better understanding of patient clinical profiles is essential to drive efficient and timely health service strategies. In this study, we aimed to identify risk factors for a higher susceptibility to symptomatic presentation with COVID-19 and a transition to severe disease. Methods: We analysed data on 2756 patients admitted to Chelsea & Westminster Hospital NHS Foundation Trust between 1st January and 23rd April 2020. We compared differences in characteristics between patients designated positive for COVID-19 and patients designated negative on hospitalisation and derived a multivariable logistic regression model to identify risk factors for predicting risk of symptomatic COVID-19. For patients with COVID-19, we used univariable and multivariable logistic regression to identify risk factors associated with progression to severe disease defined by: 1) admission to the hospital AICU, 2) the need for mechanical ventilation, 3) in-hospital mortality, and 4) at least one measurement of elevated D-dimer (equal or superior to 1,000 ug/L) indicative of increased risk of venous thromboembolism. Results: The patient population consisted of 1148 COVID-19 positive and 1608 COVID-19 negative patients. Age, sex, self-reported ethnicity, C-reactive protein, white blood cell count, respiratory rate, body temperature, and systolic blood pressure formed the most parsimonious model for predicting risk of symptomatic COVID-19 at hospital admission. Among 1148 patients with COVID-19, 116 (10.1%) were admitted to the AICU, 71 (6.2%) required mechanical ventilation, 368 (32.1%) had at least one record of D-dimer levels ≥1,000 μg/L, and 118 patients died. In the multivariable logistic regression, age (OR = 0.953 per 1 year, 95% CI: 0.937-0.968) C-reactive protein (OR = 1.004 per 1 mg/L, 95% CI: 1.002-1.007), and white blood cell counts (OR = 1.059 per 109/L, 95% CI: 1.010-1.111) were found to be associated with admission to the AICU. Age (OR = 0.973 per 1 year, 95% CI: 0.955-0.990), C-reactive protein (OR = 1.003 per 1 mg/L, 95% CI: 1.000-1.006) and sodium (OR = 0.915 per 1 mmol/L, 0.868-0.962) were associated with mechanical ventilation. Age (OR = 1.023 per 1 year, 95% CI: 1.004-1.043), CRP (OR = 1.004 per 1 mg/L, 95% CI: 1.002-1.006), and body temperature (OR = 0.723 per 1oC, 95% CI: 0.541-0.958) were associated with elevated D-dimer. For mortality, we observed associations with age (OR = 1.060 per 1 year, 95% CI: 1.040-1.082), female sex (OR = 0.442, 95% CI: 0.442, 95% CI: 0.245-0.777), Asian ethnic background (OR = 2.237 vs White ethnic background, 95% CI: 1.111-4.510), C-reactive protein (OR = 1.004 per 1 mg/L, 95% CI: 1.001-1.006), sodium (OR = 1.038 per 1 mmol/L, 95% CI: 1.001-1.006), and respiratory rate (OR = 1.054 per 1 breath/min, 95% CI: 1.024-1.087). Conclusion: Our analysis suggests there are several demographic, clinical and laboratory findings associated with a symptomatic presentation of COVID-19. Moreover, significant associations between patient deterioration were found with age, sex and specific blood markers, chiefly C-reactive protein, and could help early identification of patients at risk of poorer prognosis. Further work is required to clarify the extent to which our observations are relevant beyond current settings.

scholarly journals Experience of managing first fifty COVID-19 positive peripartum women in a tertiary care centre in North India

2021 ◽  
Vol 10 (3) ◽  
pp. 1036
Author(s):  
Vijay Zutshi ◽  
Neha Mohit Bhagwati ◽  
Alka .
Keyword(s):  
Pregnant Women ◽  
Severe Disease ◽  
Tertiary Care ◽  
Birth Asphyxia ◽  
Fetal Distress ◽  
North India ◽  
Tertiary Care Centre ◽  
Mild Disease ◽  
Qrt Pcr ◽  
The Mean

Background: SARS-CoV-2 has caused significant morbidity and mortality worldwide. Analysis of the clinical profile of COVID-19 positive pregnant women is important to understand the pathophysiology, transmission and outcome of the disease in Indian population.Methods: It is a retrospective observational study of first fifty pregnant patients tested positive for COVID-19 by qRT PCR admitted for delivery in our hospital.Results: In this audit, first fifty COVID-19 pregnant women were studied and the mean age of the patients in this study was 26 years. 98% of these women were admitted for obstetric indications. Seventy two percent of these women were admitted with spontaneous onset of labour. Based on disease severity, 49 (98%) were either asymptomatic or exhibited mild disease and only 1 (2%) had severe disease who succumbed to her illness. Forty six percent patients delivered vaginally and 54% required cesarean delivery. The most common indication for LSCS was fetal distress (43%). Eighteen percent had preterm delivery. Among the newborn babies, one died due to severe birth asphyxia. Sixteen percent babies required NICU stay. Five babies tested positive for COVID-19 of which one baby was positive on day one of life.Conclusions: As per our results, majority of the COVID-19 positive pregnant women had mild disease. There has been increase in cesarean section rate as compared to the previous hospital figures. Only one baby tested positive within 24 hours of delivery so the possibility vertical transmission can not be commented upon as of today.

scholarly journals Title: Risk factors for severe disease in patients admitted with COVID-19 to a hospital in London, England: a retrospective cohort study

2020 ◽  
Author(s):  
Jack W Goodall ◽  
Thomas A N Reed ◽  
Maddalena Ardissino ◽  
Paul Bassett ◽  
Ashley M Whittington ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Proportional Hazards ◽  
Severe Disease ◽  
Cox Proportional Hazards ◽  
Hospitalized Patients ◽  
Reactive Protein ◽  
Global Pandemic ◽  
Northwick Park Hospital ◽  
Observational Cohort

COVID-19 has caused a major global pandemic and necessitated unprecedented public health restrictions in almost every country. Understanding risk factors for severe disease in hospitalized patients is critical as the pandemic progresses. This observational cohort study aimed to characterize the independent associations between the clinical outcomes of hospitalized patients and their demographics, comorbidities, blood tests and bedside observations. All patients admitted to Northwick Park Hospital, London, United Kingdom between 12 March and 15 April 2020 with COVID-19 were retrospectively identified. The primary outcome was death. Associations were explored using Cox proportional hazards modelling. The study included 981 patients. The mortality rate was 36.0%. Age (adjusted hazard ratio (aHR) 1.53), respiratory disease (aHR 1.37), immunosuppression (aHR 2.23), respiratory rate (aHR 1.28), hypoxia (aHR 1.36), Glasgow Coma Score <15 (aHR 1.92), urea (aHR 2.67), alkaline phosphatase (aHR 2.53), C-reactive protein (aHR 1.15), lactate (aHR 2.67), platelet count (aHR 0.77) and infiltrates on chest radiograph (aHR 1.89) were all associated with mortality. These important data will aid clinical risk stratification and provide direction for further research.

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