ArticleActa medica academica2023
Factors Predictive of In-Hospital Mortality in Patients with Systemic Lupus Erythematosus: A Single-Centre Retrospective Analysis.
Article in Acta medica academica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Genome-wide meta-analysis with 1,590,596 individuals identifies 12 novel risk loci for systemic lupus erythematosus.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Pooled it
- National trends in hospitalisation, in-hospital mortality and resource use for SLE in Spain from 2016 to 2022.Lupus science & medicine · 2026Article
- Infectious Complications and Prognostic Factors of Mortality in Patients with Lupus Nephritis Admitted to Intensive Care Units.Journal of clinical medicine · 2025Article
- In-hospital mortality and associated factors in patients with systemic lupus erythematosus: analysis over more than 11 years in a reference hospital center.Rheumatology international · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe aimed to investigate the causes and factors predictive of in-hospital death among patients with systemic lupus erythematosus (SLE) admitted to a tertiary care hospital in Thailand. MATERIALS AND
methodsWe retrospectively reviewed the records of patients with SLE admitted between 2017 and 2021. We collected data related to age, sex, body mass index, comorbidities, disease duration, medication usage, clinical symptoms, vital signs, laboratory results, evidence of infection, presence of systemic inflammatory response syndrome, quick sepsis-related organ assessment scores, and SLE disease activity on the date of admission. The length of hospitalization, treatment administered, and subsequent clinical outcomes (including in-hospital complications and death) were also recorded.
resultsAmong 267 enrolled patients, the overall in-hospital mortality rate was 25.5%, and infection was the most common cause of death (75.0%). Multivariate analysis revealed that prior hospitalization within 3 months (odds ratio [OR]: 2.311; 95% confidence interval [CI]: 1.002-5.369; P=0.049), initial infection on admission (OR: 2.764; 95% CI: 1.006-7.594; P=0.048), use of vasopressor drugs (OR: 2.940; 95% CI: 1.071-8.069; P=0.036), and mechanical ventilation (OR: 5.658; 95% CI: 2.046-15.647; P=0.001) were independent risk factors for in-hospital mortality.
conclusionInfection was the major cause of mortality in patients with SLE. Prior hospitalization within 3 months, initial infection on admission, vasopressor use, and mechanical ventilation during admission are independent risk factors for in-hospital mortality in patients with SLE.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.