Evidence map›Paper›PMID 39511929›Full record

Observational studyNursing in critical care2025

Development and validation of a nomogram for circuit lifespan of regional citrate anticoagulation-continuous renal replacement therapy in intensive care patients with acute kidney injury.

Zhongbin Chen, Lingai Pan, Jia Zhang, Yanyu Chen, Yi Liu, Ping Jia, Shiya Liu, Bo Wang, Ping Zheng, Feng Chen and 5 more

Abstract readObservational StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Nursing in critical care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

15 authors.

Zhongbin ChenDepartment of Surgical Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Lingai PanDepartment of Surgical Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Jia ZhangDepartment of Neurosurgery, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yanyu ChenDepartment of Surgical Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yi LiuDepartment of Emergency Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Ping JiaDepartment of Neurosurgical Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Shiya LiuDepartment of Surgical Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Bo WangDepartment of Surgical Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Ping ZhengSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Feng ChenSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Bin ZengDepartment of Surgical Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Wenting ZhangDepartment of Surgical Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Qin YangDepartment of Surgical Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Xiaobo HuangDepartment of Surgical Intensive Care Unit, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Caixia XieSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0009-0002-6696-9140

Funding

China Postdoctoral Science Foundation 2022M720656Health Science Research Project of Sichuan Province (Chuanganyan2023-223)SichuanScience and Technology Program 2023YFS0067
6 · The paper itself

Abstract

backgroundRegional citrate anticoagulation-continuous renal replacement therapy (RCA-CRRT) has a wide range of applications in clinical practice, but unplanned downtime due to RCA-CRRT circuit coagulation is as high as 15.75%-66.70%.

aimTo build a nomogram model for predicting the lifespan circuits of RCA-CRRT. STUDY

designA prospective observational cohort study was conducted in Sichuan, China. The collected clinical data from 404 RCA-CRRT sessions involving 135 patients were utilized. The patients' basic information, laboratory indicators and RCA-CRRT parameters were used as independent variables, and the survival status and survival time of RCA-CRRT circuits were used as dependent variables. A Cox multivariate analysis was performed to build the nomogram model for predicting the lifespan of RCA-CRRT circuits. The model was validated internally and externally.

resultsThe median lifespan of RCA-CRRT circuits was 28.0 (12.0-46.5) h, and the unplanned downtime rate was 23.76%. In the Cox multivariate analysis, venous pressure, haemoglobin, Sequential Organ Failure Assessment (SOFA), lactate, and blood transfusion were identified as statistically significant predictive factors for the lifespan of RCA-CRRT circuits (p < .05). Subsequently, a nomogram model for predicting the lifespan of RCA-CRRT circuits was developed. The AUC values for internal and external validation within the 12-72-h timeframe ranged from 0.648 to 0.816 and 0.613 to 0.956, respectively. Both the calibration curve and clinical decision curve demonstrated the model's good performance.

conclusionThe nomogram model developed in this study demonstrates its efficacy in accurately predicting the lifespan circuits of RCA-CRRT. RELEVANCE TO CLINICAL PRACTICE: Clinical nurses can use the prediction model to assess the lifespan of RCA-CRRT circuits, so as to formulate a personalized RCA-CRRT treatment plan for patients, thus reducing the unplanned downtime of RCA-CRRT.

Indexed as

Acute Kidney InjuryAnticoagulantsCitric AcidContinuous Renal Replacement TherapyCritical CareNomogramsAgedChinaFemaleHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesAnticoagulantsCitric AcidAKIcircuit lifespanCRRTnomogram

Identifiers

PMID39511929
PMCPMC12208818

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Registered trials

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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.