Evidence map›Paper›PMID 39696100›Full record

Observational studyBMC nephrology2024

Association between the age-adjusted Charlson Comorbidity Index and complications after kidney transplantation: a retrospective observational cohort study.

Qin Huang, Tongsen Luo, Jirong Yang, Yaxin Lu, Shaoli Zhou, Ziqing Hei, Chaojin Chen

Abstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Age-Related Risk After Kidney Transplantation: A Comprehensive Analysis of Infection Burden, Graft Outcomes, and Mortality.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qin Huang *Department of Anesthesiology, Guangdong Province, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, China.
Tongsen Luo *Department of Anesthesiology, Guangdong Province, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, China.
Jirong Yang *Department of Anesthesiology, Guangdong Province, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, China.
Yaxin LuCenter for Big Data and Artificial Intelligence, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China.
Shaoli ZhouDepartment of Anesthesiology, Guangdong Province, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, China.
Ziqing HeiDepartment of Anesthesiology, Guangdong Province, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, China. heiziqing@sina.com.
Chaojin ChenDepartment of Anesthesiology, Guangdong Province, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, China. chenchj28@mail.sysu.edu.cn.

Funding

Joint Funds of the National Natural Science Foundation of China No. U22A20276Provincial-enterprise Joint Funds of Guangdong Basic and Applied Basic Research Foundation No.2021B1515230012Science and Technology Planning Project of Guangdong Province-Regional Innovation Capacity and Support System Construction No. 2023B110006Science and Technology Program of Guangzhou City No.2024A04J4246 and 202201020429the "Five and five" Project of the Third Affiliated Hospital of Sun Yat-Sen University No.2023WW501the Natural Science Foundation of Guangdong Province No. 2022A1515012603the Special Support Project of Guangdong Province No.0720240209
6 · The paper itself

Abstract

backgroundComplications following kidney transplantation elevate the risks of readmission and mortality. The aim of this study was to assess the association between the age-adjusted Charlson Comorbidity Index (ACCI) and postoperative complications among kidney transplant (KT) recipients.

methodsBetween January 2015 and March 2021, a study involving 886 kidney transplant recipients at the Third Affiliated Hospital of Sun Yat-sen University was conducted. Postoperative complications were defined by the Clavien-Dindo Classification of Surgical Complications. Target Maximum Likelihood Estimation (TMLE) was employed to assess the association between ACCI and postoperative complications. The odds ratio (OR) was computed to determine the relationship between ACCI and postoperative complications. Subsequent interaction and stratified analyses were performed to assess the robustness of the findings.

resultsOut of 859 KT participants ultimately included in the study, 30.7% were documented to have encountered postoperative complications. Participants with an ACCI value exceeding 3 exhibited a notably increased risk of postoperative complications following multivariable adjustment [aOR = 1.64, 95% CI [1.21,2.21], p = 0.001]. Congestive heart failure (OR = 16.18, 95% CI [1.98-132.17], p < 0.001), peripheral vascular disease (OR = 2.32, 95% CI [1.48-3.78], p < 0.001), and chronic obstructive pulmonary disease (OR = 6.05, 95% CI [2.95-12.39], p < 0.001) emerged as the top three preoperative comorbidities significantly linked to postoperative complications in ACCI.

conclusionAn ACCI value exceeding 3 preoperatively constituted a risk factor for postoperative complications among KT patients.

Indexed as

ComorbidityKidney TransplantationPostoperative ComplicationsAdultAgedAge FactorsCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsAge-adjusted Charlson comorbidity indexEnd-stage renal diseaseKidney transplantPostoperative complicationRisk factor

Identifiers

PMID39696100
PMCPMC11654409

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.