Evidence map›Paper›PMID 42124324›Full record

Observational studyNursing open2026

Development of a Prediction Model for Postoperative Hypoproteinemia in Patients Undergoing Microsurgical Reconstructive Surgery: A Prospective Observational Study.

Huijuan Qian, Tingting Cai, Xiaomei Chen, Suna Wang, Lili Wang, Sanlian Hu, Changrong Yuan

Abstract readObservational Study
In one paragraph

Observational study in Nursing open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huijuan QianNursing Department, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0004-5604-3410
Tingting CaiSchool of Nursing, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-3473-8412
Xiaomei ChenDepartment of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Suna WangClinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0009-5325-0250
Lili WangSchool of Nursing, Fudan University, Shanghai, China.
Sanlian HuNursing Department, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0008-6114-2391
Changrong YuanSchool of Nursing, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0001-8480-2569

Funding

Innovative Research Team of High-level Local University in Shanghai SHSMU-ZDCX20212800School of Medicine, Shanghai Jiao Tong University SJTUHLXK2021
6 · The paper itself

Abstract

aimTo investigate the risk factors for postoperative hypoproteinemia in patients undergoing microsurgical reconstructive surgery and to develop a prediction model to support nurses in identifying patients at high risk.

designA prospective observational study.

methodsA convenience sample of 192 patients with limb-destructive injury admitted to the Department of Orthopaedics at a tertiary hospital between September 2021 and March 2023 was enrolled. Patients were classified into hypoproteinemia (serum albumin < 35 g/L) and non-hypoproteinemia (serum albumin ≥ 35 g/L) groups based on serum albumin levels measured within the first 72 h postoperatively. Multivariable logistic regression was used to develop a predictive model. Receiver operating characteristic curve analysis was performed to assess model discrimination performance.

resultsThe prevalence of postoperative hypoproteinemia in this cohort was 72.4%. Statistically significant between-group differences were observed for body mass index, smoking status, wound size, operating time, intraoperative blood loss, amount of fluid rehydration on the day after surgery, preoperative total protein level, preoperative albumin level, preoperative red blood cell count, preoperative haematocrit (Hct), preoperative haemoglobin (Hb) level, and the Mangled Extremity Severity Score (MESS). Multivariable logistic regression analysis showed that higher preoperative albumin level (odds ratio [OR] = 0.837 per 1 g/L increase) and higher preoperative Hb level (OR = 0.958 per 1 g/L increase) were independently associated with lower odds of postoperative hypoproteinemia, whereas longer operating time (OR = 1.967 per 1h increase) was associated with increased odds. The area under the ROC curve (AUC) for the combined model was 0.915. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

HypoproteinemiaMicrosurgeryPlastic Surgery ProceduresPostoperative ComplicationsAdultFemaleHumansLogistic ModelsMaleMiddle AgedProspective StudiesRisk FactorsROC CurveSerum AlbuminSerum Albumin

Identifiers

PMID42124324
PMCPMC13168529

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