Related Experiment Video
Updated: Jun 26, 2026

07:10
Humanized NOD/SCID/IL2rγnull (hu-NSG) Mouse Model for HIV Replication and Latency Studies
Published on: January 7, 2019
Comparative mortality in HIV-infected patients in Denmark, 1995-2005.
Richard B Singer1, Anthony F Milano
1American Academy of Insurance Medicine (AAIM), USA.
Journal of Insurance Medicine (New York, N.Y.)
|January 6, 2009
Summary
Excess mortality for HIV patients significantly decreased post-1995. This study tracked 3990 Danish patients from 1995-2005, revealing lower mortality rates in females and Hepatitis C virus-negative individuals.
Area of Science:
- Epidemiology
- Public Health
- Infectious Diseases
Background:
- HIV infection significantly impacted patient mortality prior to 1995.
- Advances in treatment since 1995 have aimed to reduce excess mortality in HIV patients.
- Longitudinal cohort studies are crucial for understanding long-term outcomes in HIV management.
Purpose of the Study:
- To assess excess mortality trends in a Danish HIV-infected cohort from 1995 to 2005.
- To analyze mortality rates by age, sex, and Hepatitis C virus (HCV) status.
- To compare observed HIV patient mortality with expected rates in the general population.
Main Methods:
- Follow-up (FU) of 3990 HIV patients treated at 8 specialized Danish clinics (1995-2005).
- Utilized the Danish Civil Registration System (CRS) for comprehensive patient tracking.
- Calculated excess mortality by comparing observed deaths to expected rates derived from a matched general population sample (approx. 92 per HIV patient).
Main Results:
- Overall annual mortality rate (q) for the HIV cohort was 38 per 1000 patient-years.
- Mortality rates increased with age, from 30/1000 (25-30 years) to 93/1000 (65-70 years).
- Hepatitis C virus-positive (HCV+) individuals exhibited higher mortality (q=54/1000) compared to HCV-negative (HCV-) individuals (q=32/1000).
Conclusions:
- Excess mortality among HIV patients has substantially decreased since 1995.
- Mortality rates vary significantly by age, sex, and HCV co-infection status.
- Continued monitoring and management strategies are essential for improving long-term survival in HIV-infected populations.
Related Concept Videos
Retrovirus Life Cycles
Retroviruses have a single-stranded RNA genome that undergoes a special form of replication. Once the retrovirus has entered the host cell, an enzyme called reverse transcriptase synthesizes double-stranded DNA from the retroviral RNA genome. This DNA copy of the genome is then integrated into the host’s genome inside the nucleus via an enzyme called integrase. Consequently, the retroviral genome is transcribed into RNA whenever the host’s genome is transcribed, allowing the retrovirus to...
Comparing the Survival Analysis of Two or More Groups
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 Cox...
Hazard Ratio
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 evaluating a...
For example, in a clinical trial evaluating a...
Relative Risk
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...

