Cardiovascular

Factors associated with in-hospital mortality after stroke at a tertiary hospital in Angola.

TL;DR

Older age was the strongest admission-available correlate of in-hospital mortality after stroke at Hospital do Prenda in Luanda, while elevated mortality among younger patients was concentrated in haemorrhagic stroke; under-ascertainment of comorbidities and missing severity data limit causal or independent prognostic inference.

Key Findings

In-hospital mortality after stroke at Hospital do Prenda was 15.7% among 479 episodes.

  • 75 patients died among 479 hospitalisation episodes (15.7%; 95% CI 12.7-19.2).
  • Single-centre retrospective cohort at a public tertiary hospital in Luanda, January 2023 to December 2025.
  • Four episodes ending in transfer were excluded; the unit of analysis was the hospitalisation episode.

Decedents were older than survivors and had a much shorter hospital stay.

  • Median age was 58.5 years among decedents versus 52.0 among survivors (p = 0.049).
  • Median length of stay was 3 versus 6 days (p < 0.0001).
  • The authors state the length-of-stay difference reflects early mortality rather than a prognostic exposure.

Mortality rose in a graded manner with age and remained graded after adjustment.

  • Mortality increased from 6.7% at age 45-54 years to 28.0% at ≥75 years.
  • For ≥75 years, adjusted OR was 5.92 (95% CI 2.28-15.38; p = 0.0003).
  • Adjusted model was exploratory, covering age, sex, year, stroke subtype, recorded comorbidities, and head-CT status.

Patients younger than 45 years also had elevated mortality, concentrated in haemorrhagic stroke.

  • Mortality among patients <45 years was 17.2% (adjusted OR 2.97, 95% CI 1.28-6.87).
  • Within this group, mortality was 22.2% for haemorrhagic versus 10.8% for ischaemic stroke.
  • Age-by-subtype interaction p = 0.0009.

Sex, year, stroke subtype, recorded hypertension, and recorded diabetes were not associated with in-hospital mortality.

  • These variables were assessed in univariable and exploratory multivariable analyses.
  • Hypertension and type 2 diabetes were extracted from free-text fields using predefined string rules.

Absence of head CT was associated with higher crude mortality, though the estimate was imprecise.

  • Crude mortality was 30.0% without head CT versus 15.0% with it.
  • OR 2.42 (95% CI 0.90-6.52), with a confidence interval including 1.

Recorded hypertension prevalence was low, indicating substantial under-ascertainment of comorbidities.

  • Recorded hypertension prevalence was only 19.8%.
  • Comorbidities were extracted from free-text fields, which limits interpretation of their null associations.

Statistical and data limitations mean adjusted estimates should be viewed as exploratory associations rather than independent prognostic effects.

  • Events-per-variable ratio was low (~7) and calibration was poor in some models.
  • No data on stroke severity, functional status, ICU care, ventilation, or reperfusion.
  • Single-centre retrospective design limits causal inference.

Most Angolan stroke patients reach hospital beyond the thrombolysis window and many deaths occur within 72 hours of admission.

  • This is the stated rationale for investigating routinely recorded admission variables associated with mortality.
  • The short median stay among decedents (3 days) is consistent with early deaths.

What This Means

This study reviewed the records of 479 stroke hospital stays at a public tertiary hospital in Luanda, Angola, between 2023 and 2025. About 1 in 6 patients (15.7%) died in hospital, and deaths tended to happen early, with deaths occurring after a median of 3 days in hospital compared with 6 days for those who survived. Older age was the factor most strongly linked to dying in hospital. Death rates rose from under 7% in people aged 45-54 to 28% in those aged 75 and over. Younger patients (under 45) also had a higher death rate (17.2%), mostly because of strokes caused by bleeding in the brain rather than blockages. Sex, year of admission, stroke type overall, and recorded hypertension or diabetes were not linked to death. Patients who did not get a head CT scan appeared to have higher death rates, but this result was uncertain. The findings should be read cautiously. Records captured high blood pressure in only about 20% of patients, which suggests many cases were missed, and the data lacked information on stroke severity, intensive care, ventilation, and clot-busting treatment. The analysis came from one hospital and was retrospective. This research suggests that age and bleeding strokes in younger people mark groups at higher risk, but it cannot show that these factors themselves cause death.

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Citation

Neto S, Cuenda B, Major M, Kapele J, Pinto C. (2026). Factors associated with in-hospital mortality after stroke at a tertiary hospital in Angola.. Frontiers in neurology. https://doi.org/10.3389/fneur.2026.1944436