Skip to content
DraconiticResearch
Search Sources API
184,937 studies31 sourcesUpdated 26 min ago
Peer-reviewedCC BY 4.0Frontiers in Neurology

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

  • Sergio Neto1
  • Benvindo Cuenda2
  • Maria Ngueve Major2
  • Jose Kapele2
  • Cliofas Pinto2
  1. 1Neurosurgery Service, Clinica Girassol
  2. 2Neurosurgery Service, Hospital do Prenda
Read full textPDFDOICite

Abstract

Background: Most Angolan patients with stroke reach hospital beyond the thrombolysis window, and many deaths occur within 72 h of admission. We investigated routinely recorded variables associated with in-hospital mortality at Hospital do Prenda.

Methods: We conducted a single-centre retrospective cohort study at Hospital do Prenda, a public tertiary hospital in Luanda, from January 2023 to December 2025. The unit of analysis was the hospitalisation episode; four episodes ending in transfer were excluded. Hypertension and type 2 diabetes were extracted from free-text fields using predefined string rules. Univariable analyses used Pearson chi-square, crude odds ratios (OR; 95% CI), and Mann–Whitney tests. Exploratory multivariable logistic regression adjusted for age, sex, year, stroke subtype, recorded comorbidities, and head-CT status. Given the low events-per-variable ratio (~7) and poor calibration in some models, adjusted estimates were considered exploratory associations rather than independent prognostic effects.

Results: Among 479 episodes, 75 patients died (15.7%; 95% CI 12.7–19.2). 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), reflecting early mortality rather than a prognostic exposure. Mortality increased from 6.7% at age 45–54 years to 28.0% at ≥75 years and remained graded after adjustment (≥75 years: adjusted OR 5.92, 95% CI 2.28–15.38; p = 0.0003). Mortality among patients <45 years was also elevated (17.2%; adjusted OR 2.97, 95% CI 1.28–6.87), predominantly among haemorrhagic strokes (22.2% versus 10.8% for ischaemic stroke; age-by-subtype interaction p = 0.0009). Sex, year, stroke subtype, recorded hypertension, and diabetes were not associated with mortality. Absence of head CT showed higher crude mortality (30.0% versus 15.0%; OR 2.42, 95% CI 0.90–6.52). Recorded hypertension prevalence was only 19.8%, indicating substantial under-ascertainment.

Conclusion: Older age was the strongest admission-available correlate of in-hospital mortality, while elevated mortality among younger patients was concentrated in haemorrhagic stroke. Under-ascertainment limits interpretation of comorbidities. Absence of stroke-severity, functional-status, ICU, ventilation, and reperfusion data further limits causal or independent prognostic inference.

Related

  1. Factors associated with mortality among critically ill pediatric patients referred to a tertiary hospital in Indonesia
    Desy Rusmawatiningtyas, Indah Kartika Murni, Dwi Astuti Dharma Putri +3
    PLOS OnePeer-reviewedCC BY 4.0Full textGeneral biologyObstetrics, gynaecology & paediatricsPLOSPMC
  2. Clinical characteristics and exploratory factors associated with in-hospital mortality in pediatric severe viral encephalitis
    Ping He, Fangqi Hu, Fei Wang
    Frontiers in pediatricsPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  3. Factors Associated With Mortality Among Septic Hospital Ward Patients
    Matthew R. Dettmer, Shuaiqi Huang, Xiaofeng Wang +1
    Mayo Clinic proceedings. Innovations, quality & outcomesPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  4. Associated factors for in-hospital mortality in patients with fulminant myocarditis: a systematic review and meta-analysis
    Haojie Zhou, Qiang Zhang, Xi Zheng +2
    Frontiers in cardiovascular medicinePeer-reviewedCC BYFull textCardiovascular medicineEurope PMC
  5. Integrated Clinical, Biological, and Echocardiographic Factors Independently Associated With In-Hospital Mortality in Infective Endocarditis: A Single-Centre Cohort Study From Morocco
    Tariq El Karimy, Hiba Rizkou, Joumana Elmasrioui +1
    CureusPeer-reviewedCC BYFull textGeneral medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{neto2026factors,
  title = {{Factors associated with in-hospital mortality after stroke at a tertiary hospital in Angola}},
  author = {Sergio Neto and Benvindo Cuenda and Maria Ngueve Major and Jose Kapele and Cliofas Pinto},
  journal = {Frontiers in Neurology},
  year = {2026},
  month = oct,
  doi = {10.3389/fneur.2026.1944436},
  url = {https://www.frontiersin.org/articles/10.3389/fneur.2026.1944436/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Factors associated with in-hospital mortality after stroke at a tertiary hospital in Angola
AU  - Sergio Neto
AU  - Benvindo Cuenda
AU  - Maria Ngueve Major
AU  - Jose Kapele
AU  - Cliofas Pinto
PY  - 2026
DA  - 2026/10/19
JO  - Frontiers in Neurology
DO  - 10.3389/fneur.2026.1944436
UR  - https://www.frontiersin.org/articles/10.3389/fneur.2026.1944436/full
AB  - Background: Most Angolan patients with stroke reach hospital beyond the thrombolysis window, and many deaths occur within 72 h of admission. We investigated routinely recorded variables associated with in-hospital mortality at Hospital do Prenda.  Methods: We conducted a single-centre retrospective cohort study at Hospital do Prenda, a public tertiary hospital in Luanda, from January 2023 to December 2025. The unit of analysis was the hospitalisation episode; four episodes ending in transfer were excluded. Hypertension and type 2 diabetes were extracted from free-text fields using predefined string rules. Univariable analyses used Pearson chi-square, crude odds ratios (OR; 95% CI), and Mann–Whitney tests. Exploratory multivariable logistic regression adjusted for age, sex, year, stroke subtype, recorded comorbidities, and head-CT status. Given the low events-per-variable ratio (~7) and poor calibration in some models, adjusted estimates were considered exploratory associations rather than independent prognostic effects.  Results: Among 479 episodes, 75 patients died (15.7%; 95% CI 12.7–19.2). 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), reflecting early mortality rather than a prognostic exposure. Mortality increased from 6.7% at age 45–54 years to 28.0% at ≥75 years and remained graded after adjustment (≥75 years: adjusted OR 5.92, 95% CI 2.28–15.38; p = 0.0003). Mortality among patients <45 years was also elevated (17.2%; adjusted OR 2.97, 95% CI 1.28–6.87), predominantly among haemorrhagic strokes (22.2% versus 10.8% for ischaemic stroke; age-by-subtype interaction p = 0.0009). Sex, year, stroke subtype, recorded hypertension, and diabetes were not associated with mortality. Absence of head CT showed higher crude mortality (30.0% versus 15.0%; OR 2.42, 95% CI 0.90–6.52). Recorded hypertension prevalence was only 19.8%, indicating substantial under-ascertainment.  Conclusion: Older age was the strongest admission-available correlate of in-hospital mortality, while elevated mortality among younger patients was concentrated in haemorrhagic stroke. Under-ascertainment limits interpretation of comorbidities. Absence of stroke-severity, functional-status, ICU, ventilation, and reperfusion data further limits causal or independent prognostic inference.
SN  - 1664-2295
ER  -