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Related Concept Videos

Relative Risk01:12

Relative Risk

340
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
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Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
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Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

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A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

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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...
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Hazard Ratio01:12

Hazard Ratio

241
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Updated: Sep 10, 2025

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Performance of Risk Scores in SARS-CoV-2 Infection: A Retrospective Study.

Alessandro Geremia1, Arturo Montineri1, Alessandra Sorce2

  • 1Unit of Infectious Diseases, San Marco Hospital, 95121 Catania, Italy.

International Journal of Environmental Research and Public Health
|August 28, 2025
PubMed
Summary
This summary is machine-generated.

The 4C Mortality Score and COVID-GRAM effectively predict death in hospitalized SARS-CoV-2 patients. These low-cost tools can identify high-risk individuals and aid future pandemic preparedness.

Keywords:
4C Mortality ScoreCOVID-19COVID-GRAMmortality riskpredictive tools

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Area of Science:

  • Infectious Diseases
  • Epidemiology
  • Clinical Medicine

Background:

  • Prognostic scores can optimize resource allocation for critical patients during pandemics.
  • The SARS-CoV-2 pandemic highlighted the need for effective tools to predict patient outcomes.

Purpose of the Study:

  • To retrospectively analyze the performance of five risk scores in predicting death or ICU/SICU transfer in hospitalized SARS-CoV-2 patients.
  • To identify frail patients at risk of severe outcomes.
  • To evaluate the utility of these scores for future pandemic preparedness.

Main Methods:

  • Retrospective observational study of 119 adult patients hospitalized with SARS-CoV-2 infection.
  • Comparison of five risk scores using receiver operating characteristic curves and AUC calculations.
  • Assessment of predictive performance for mortality and ICU/SICU transfer.

Main Results:

  • Four of five scores accurately predicted mortality (AUCs 0.749-0.885).
  • Two scores demonstrated good performance for predicting ICU/SICU transfer (AUCs 0.740-0.802).
  • The 4C Mortality Score and COVID-GRAM showed the highest performance for both outcomes.

Conclusions:

  • The 4C Mortality Score and COVID-GRAM are accurate, low-cost, and easily applicable predictive tools for SARS-CoV-2 infection.
  • These scores can aid in identifying high-risk, frail, and elderly patients.
  • Their utility extends to clinical practice and preparedness for future pandemics.