Lupus & antiphospholipid syndrome

Clusters based on demography, disease phenotype, and autoantibody status predicts mortality in lupus: data from Indian lupus cohort (INSPIRE)

Rheumatology (Oxford)Published Prospective inception cohort study

Main finding · Mortality by cluster (mean survival estimate, months)Result — go to the resultAdjusted HR for death 2.19 95% CI 1.44–3.31

Authors' conclusion

SLE in India has high early mortality, and the majority of deaths occur outside the health-care setting.

Study context

Population
Patients with SLE in the Indian SLE Inception cohort for Research (INSPIRE)median follow-up 18 months
Participants
2,072 patients
Exposure
Mortality across four phenotype clusters
Outcome
Mortality: causes, predictors and cluster-based survival
Methodological detailsagglomerative unsupervised hierarchical cluster analysis, non-adjusted and adjusted Cox proportional-hazards models
  • Agglomerative unsupervised hierarchical cluster analysis
  • Non-adjusted and adjusted Cox proportional-hazards models

Main finding

As reported in the abstract

Mortality by cluster (mean survival estimate, months)

Adjusted HR for death

2.19

95% CI 1.44–3.31

By group

Cluster 4
adjusted HR for death 2.19 (95% CI 1.44–3.31)

Observational data: associations, not effects.

Further findings

Other predictors of mortality (adjusted HR)

Adjusted HR (95% CI)
Low socio-economic status1.69 (1.22–2.35)
Number of BILAG-A1.5 (1.29–1.73)
Number of BILAG-B1.15 (1.01–1.3)
Need for haemodialysis4.63 (1.87,11.48)

Deaths · median follow-up 18 months

Deaths
170
Deaths per 1000 patient-years
49.2
Deaths in first 6 months
47.1%
Due to SLE disease activity
87
Due to coexisting disease activity and infection
24
Due to infections
23
Other causes
21
Pneumonia among infection-related deaths
24
  • Cause determined in 155 patients

Original publication

Clusters based on demography, disease phenotype, and autoantibody status predicts mortality in lupus: data from Indian lupus cohort (INSPIRE). Rheumatology (Oxford). Published 5 April 2023. doi:10.1093/rheumatology/kead148

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.