Evidence map›Paper›PMID 39415122›Full record

ArticleBMC musculoskeletal disorders2024

The association between anion gap and length of stay in patients undergoing hip fracture surgery: data from the MIMIC-IV database.

Xiang-Ying Yu, Jia-Li Shen, Jing-Jing Xia, Hui-Ping Sun

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Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Xiang-Ying YuDepartment of Orthopedics, Hangzhou First People's Hospital, No.261, Huansha Road, Shangcheng District, Hangzhou, Zhejiang, 310006, China. yuxiangying@stu.sqxy.edu.cn.
Jia-Li ShenDepartment of Orthopedics, Hangzhou First People's Hospital, No.261, Huansha Road, Shangcheng District, Hangzhou, Zhejiang, 310006, China.
Jing-Jing XiaDepartment of Orthopedics, Hangzhou First People's Hospital, No.261, Huansha Road, Shangcheng District, Hangzhou, Zhejiang, 310006, China.
Hui-Ping SunDepartment of Orthopedics, Hangzhou First People's Hospital, No.261, Huansha Road, Shangcheng District, Hangzhou, Zhejiang, 310006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the relationship between anion gap (AG) and length of stay (LOS) in patients undergoing hip fracture surgery.

methodsClinical data of patients diagnosed with hip fracture and undergoing surgery were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Logistic regression analysis by adjusting different covariables and threshold effect analysis were used to analyze the relationship between AG and LOS. Subgroup analysis and interaction test were also performed to detect their relationship. Receiver Operating Characteristic (ROC) analysis was performed to identify the prediction performance and cutoff value of AG.Kaplan-Meier (KM) survival analysis was used to explore the influence of AG on overall survival.

resultsA total of 1508 patients were enrolled and the median LOS was 4.9 days. The correlation between AG and LOS > 7 days was observed among 3 regression models when regarding AG as continuous variables (all OR > 1, all P < 0.05). After stratifying samples with AG quartiles, their relationship was only presented in the Q4 group both in model 1 and model 2 (all P < 0.001). The risk of LOS > 7 days gradually increased with increasing AG quartiles (all P for trend < 0.05). Further, threshold effect analysis found that their association was mainly observed when AG ≥ 14 mEq/L (OR = 1.122, P < 0.001). Subgroup analysis showed that their correlation was not influenced by sex, age, BMI, ethnicity, classification of fracture, therapeutic method, CHD, hypertension, osteoporosis, diabetes and admitted to the ICU (all P for interaction > 0.05). ROC analysis identified 14.5 as the cutoff value of AG for predicted LOS > 7 days. Survival analysis found that patients in the AG < 14.5 group had better overall survival.

conclusionIn patients undergoing hip fracture surgery, the AG was positively correlated with LOS, and 14.5 mEq/L AG was the cutoff value for predicting LOS > 7 days. The cutoff value can favorably distinguish the survival difference of patients.

Indexed as

Acid-Base EquilibriumDatabases, FactualHip FracturesLength of StayAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesAnion gapHip fracture surgeryLength of stayMIMIC-IV

Identifiers

PMID39415122
PMCPMC11481268

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