Longitudinal trends in causes of death among adults with HIV on antiretroviral therapy in Europe and North America from 1996 to 2020: a collaboration of cohort studies
Bibliographic record
Abstract
BACKGROUND: Mortality rates among people with HIV have fallen since 1996 following the widespread availability of effective antiretroviral therapy (ART). Patterns of cause-specific mortality are evolving as the population with HIV ages. We aimed to investigate longitudinal trends in cause-specific mortality among people with HIV starting ART in Europe and North America. METHODS: In this collaborative observational cohort study, we used data from 17 European and North American HIV cohorts contributing data to the Antiretroviral Therapy Cohort Collaboration. We included data for people with HIV who started ART between 1996 and 2020 at the age of 16 years or older. Causes of death were classified into a single cause by both a clinician and an algorithm if International Classification of Diseases, Ninth Revision or Tenth Revision data were available, or independently by two clinicians. Disagreements were resolved through panel discussion. We used Poisson models to compare cause-specific mortality rates during the calendar periods 1996-99, 2000-03, 2004-07, 2008-11, 2012-15, and 2016-20, adjusted for time-updated age, CD4 count, and whether the individual was ART-naive at the start of each period. FINDINGS: Among 189 301 people with HIV included in this study, 16 832 (8·9%) deaths were recorded during 1 519 200 person-years of follow-up. 13 180 (78·3%) deaths were classified by cause: the most common causes were AIDS (4203 deaths; 25·0%), non-AIDS non-hepatitis malignancy (2311; 13·7%), and cardiovascular or heart-related (1403; 8·3%) mortality. The proportion of deaths due to AIDS declined from 49% during 1996-99 to 16% during 2016-20. Rates of all-cause mortality per 1000 person-years decreased from 16·8 deaths (95% CI 15·4-18·4) during 1996-99 to 7·9 deaths (7·6-8·2) during 2016-20. Rates of all-cause mortality declined with time: the average adjusted mortality rate ratio per calendar period was 0·85 (95% CI 0·84-0·86). Rates of cause-specific mortality also declined: the most pronounced reduction was for AIDS-related mortality (0·81; 0·79-0·83). There were also reductions in rates of cardiovascular-related (0·83, 0·79-0·87), liver-related (0·88, 0·84-0·93), non-AIDS infection-related (0·91, 0·86-0·96), non-AIDS-non-hepatocellular carcinoma malignancy-related (0·94, 0·90-0·97), and suicide or accident-related mortality (0·89, 0·82-0·95). Mortality rates among people who acquired HIV through injecting drug use increased in women (1·07, 1·00-1·14) and decreased slightly in men (0·96, 0·93-0·99). INTERPRETATION: Reductions of most major causes of death, particularly AIDS-related deaths among people with HIV on ART, were not seen for all subgroups. Interventions targeted at high-risk groups, substance use, and comorbidities might further increase life expectancy in people with HIV towards that in the general population. FUNDING: US National Institute on Alcohol Abuse and Alcoholism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".