ArticleClinical epidemiology2020
Comparing the Performance of Charlson and Elixhauser Comorbidity Indices to Predict In-Hospital Mortality Among a Chinese Population.
Article in Clinical epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses 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
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Air pollution and stroke hospitalization in the Beibu Gulf Region of China: A case-crossover analysis.Ecotoxicology and environmental safety · 2023Pooled it
- Costs of multimorbidity: a systematic review and meta-analyses.BMC medicine · 2022Pooled it
- Functional impact of long COVID among healthcare workers with comorbidities in Quebec, Canada: a cross-sectional study.BMJ public health · 2026Article
- Effects of Opioid Use Duration on Complications and Healthcare Utilization and Costs in Spinal Cord Injury.Topics in spinal cord injury rehabilitation · 2025Article
- Incorporating clinical and demographic data into the Elixhauser Comorbidity Model: deriving and validating an enhanced model in a tertiary hospital's internal medicine department.BMC health services research · 2024Observational
- Predicting preterm birth using auto-ML frameworks: a large observational study using electronic inpatient discharge data.Frontiers in pediatrics · 2024Article
- The Ability of Comorbidity Indices to Predict Mortality After Heart Transplantation: A Validation of the Danish Comorbidity Index for Acute Myocardial Infarction, Charlson Comorbidity Index, and Elixhauser Comorbidity Index.Transplantation direct · 2023Article
- Long-term exposure to ambient fine particulate matter chemical composition and in-hospital case fatality among patients with stroke in China.The Lancet regional health. Western Pacific · 2023Article
- Short-term air pollution exposure associated with death from kidney diseases: a nationwide time-stratified case-crossover study in China from 2015 to 2019.BMC medicine · 2023Article
- Difference in determinants of ICU admission and death among COVID-19 hospitalized patients in two epidemic waves in Portugal: possible impact of healthcare burden and hospital bed occupancy on clinical management and outcomes, March-December 2020.Frontiers in public health · 2023Article
- Increasing Patient Complexity Is Associated With Longer In-Hospital Lengths of Stay and Higher Rates of Medical Complications Following Primary 1- to 2-Level Lumbar Fusion.International journal of spine surgery · 2022Article
- The Chasm in Percutaneous Coronary Intervention and In-Hospital Mortality Rates Among Acute Myocardial Infarction Patients in Rural and Urban Hospitals in China: A Mediation Analysis.International journal of public health · 2022Article
- Daily diurnal temperature range associated with outpatient visits of acute lower respiratory infection in children: A time-series study in Guangzhou, China.Frontiers in public health · 2022Article
- Article
- Prediction Ability of Charlson, Elixhauser, and Rx-Risk Comorbidity Indices for Mortality in Patients with Hip Fracture. A Danish Population-Based Cohort Study from 2014 - 2018.Clinical epidemiology · 2022Article
- Three Exposure Metrics for Fine Particulate Matter Associated With Outpatient Visits for Acute Lower Respiratory Infection Among Children in Guangzhou, China.Frontiers in public health · 2022Article
- Leukotriene inhibitors with dexamethasone show promise in the prevention of death in COVID-19 patients with low oxygen saturations.Journal of clinical and translational science · 2022Article
- Observational
- Comorbidity in lung cancer patients and its association with hospital readmission and fatality in China.BMC cancer · 2021Article
- Association between maternal outdoor physical exercise and the risk of preterm birth: a case-control study in Wuhan, China.BMC pregnancy and childbirth · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveEarlier comorbidity measures have been developed or validated using the North American population. This study aims to compare five Charlson or Elixhauser comorbidity indices to predict in-hospital mortality using a large electronic medical record database from Shanxi, China.
methodsUsing the primary diagnosis code and surgery procedure codes, we identified four hospitalized patient cohorts, hospitalized between 2013 and 2017, in Shanxi, China, as follows: congestive heart failure (CHF, n=41,577), chronic renal failure (CRF, n=40,419), diabetes (n=171,355), and percutaneous coronary intervention (PCI, n=39,097). We used logistic regression models and
resultsElixhauser comorbidity indicator variables had consistently higher
conclusionElixhauser comorbidity indicator variables are recommended, when applied to large Chinese electronic medical record databases, while Moore's score system is appropriate for relatively small databases.
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.