Related Experiment Video
Updated: Aug 7, 2025
05:15
Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
156
Predictors of Mortality among Patients Hospitalized with COVID-19 during the First Wave in India: A Multisite
Anand Krishnan1, Rakesh Kumar1, Ritvik Amarchand1
1Centre for Community Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
The American Journal of Tropical Medicine and Hygiene
|March 13, 2023
Summary
Older age, diabetes, malignancy, and breathlessness are key predictors of COVID-19 mortality. Identifying these risk factors helps prioritize care for severe acute respiratory syndrome coronavirus 2 disease patients.
Area of Science:
- Medical Research
- Epidemiology
- Public Health
Background:
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused millions of deaths globally.
- Understanding mortality predictors is crucial for effective patient management and public health strategies.
Purpose of the Study:
- To identify predictors of mortality in hospitalized COVID-19 patients in India.
- To inform patient prioritization and therapeutic interventions.
Main Methods:
- A multicentric, hospital-based case-control study involving 2,431 patients (1,137 deaths, 1,294 survivors).
- Retrospective data extraction from medical records.
- Univariable and multivariable logistic regression analysis to determine associations between variables and mortality.
Main Results:
- Increasing age, pre-existing diabetes mellitus, malignancy, and pulmonary tuberculosis were significantly associated with increased COVID-19 mortality.
- Breathlessness at admission, high quick Sequential Organ Failure Assessment (qSOFA) score, and oxygen saturation < 94% were also strong predictors of death.
- Adjusted odds ratios indicated substantial risk increases for these factors.
Conclusions:
- Several clinical and demographic factors significantly predict mortality in COVID-19 patients.
- These findings can guide clinical decision-making for risk stratification and resource allocation.
- Targeted interventions for high-risk individuals may reduce COVID-19 mortality rates.
Related Concept Videos
01:26Factors Affecting the Risk of Infection
12.1K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
12.1K
01:18Factors Affecting Illness
4.3K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
For instance, risk factors are connected to illness,...
4.3K
01:15Assumptions of Survival Analysis
166
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
166
01:20Comparing the Survival Analysis of Two or More Groups
237
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
237
01:18Steps in Outbreak Investigation
158
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
158
01:21Acute Respiratory Failure-I
265
Acute respiratory failure is a condition characterized by the inability of the lungs to perform their primary function: gas exchange. This failure leads to insufficient oxygen levels (hypoxemia) in the blood, elevated carbon dioxide levels (hypercapnia), or both, causing critical impairment in organ function.
Definition: It is defined by specific criteria based on blood gas measurements. Hypoxemia happens when the partial pressure of oxygen (PaO2) falls below 60 mmHg. At the same time,...
Definition: It is defined by specific criteria based on blood gas measurements. Hypoxemia happens when the partial pressure of oxygen (PaO2) falls below 60 mmHg. At the same time,...
265