Evidence map›Paper›PMID 39177908›Full record

ArticleHernia : the journal of hernias and abdominal wall surgery2024

A nomogram prediction model for postoperative seroma/hematoma in elderly subjects after TAPP.

Yongxiang Ge, Yang Zhou, Jian Liu, Weijian Shen, Hailiang Gu, Guochang Cheng

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Article in Hernia : the journal of hernias and abdominal wall surgery, 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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5 · Who and what money

Authors and funding

6 authors.

Yongxiang GeDepartment of Hernia and Pediatric Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou Clinical Medical School of Nanjing Medical University, No. 366 Taihu Road, Taizhou City, 225300, Jiangsu Province, China.
Yang ZhouDepartment of Hernia and Pediatric Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou Clinical Medical School of Nanjing Medical University, No. 366 Taihu Road, Taizhou City, 225300, Jiangsu Province, China.
Jian LiuDepartment of Hernia and Pediatric Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou Clinical Medical School of Nanjing Medical University, No. 366 Taihu Road, Taizhou City, 225300, Jiangsu Province, China.
Weijian ShenDepartment of Hernia and Pediatric Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou Clinical Medical School of Nanjing Medical University, No. 366 Taihu Road, Taizhou City, 225300, Jiangsu Province, China.
Hailiang GuDepartment of Hernia and Pediatric Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou Clinical Medical School of Nanjing Medical University, No. 366 Taihu Road, Taizhou City, 225300, Jiangsu Province, China.
Guochang ChengDepartment of Hernia and Pediatric Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou Clinical Medical School of Nanjing Medical University, No. 366 Taihu Road, Taizhou City, 225300, Jiangsu Province, China. chengguochang@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFormation of seroma/hematoma is one of the most common postoperative complications following laparoscopic inguinal hernia repair. This study aimed to identify risk factors associated with seroma/hematoma and construct a prediction model.

methodsElderly subjects undergoing laparoscopic Transabdominal preperitoneal Patch Plasty (TAPP) were included in this study. The observation endpoint was set as the occurrence of seroma/hematoma within 3 months after TAPP surgery. Independent risk factors were identified through preliminary univariate screening and binary logistic regression analysis. These risk factors were then used to construct a nomogram predictive model using R software.

resultsA total of 330 patients were included in the analysis, of which 51 developed seroma/hematoma, resulting in an incidence rate of 15.5%. Obesity (OR: 3.54, 95%CI: 1.45-8.66, P = 0.006), antithrombotic drug use (OR: 2.73, 95%CI: 1.06-7.03, P = 0.037), C-reactive protein (CRP) ≥ 8 (OR: 2.72, 95%CI: 1.04-7.10, P = 0.041, albumin/fibrinogen ratio (AFR) < 7.85 (OR: 2.99, 95%CI: 1.28-7.00, P = 0.012), and lymphocyte/monocyte ratio (LMR) < 4.05 (OR: 12.62, 95%CI: 5.69-28.01, P < 0.001) were five independent risk factors for seroma/hematoma. The nomogram model has well predictive value for seroma/hematoma, with an AUC of 0.879.

conclusionsThe nomogram model based on obesity, antithrombotic drug, CRP, AFR, and LMR has a proved good predictive value and it has potential in clinical practice.

Indexed as

HematomaNomogramsPostoperative ComplicationsSeromaAgedAged, 80 and overC-Reactive ProteinFemaleFibrinolytic AgentsHernia, InguinalHerniorrhaphyHumansLaparoscopyMaleObesityRetrospective StudiesC-Reactive ProteinFibrinolytic AgentsInguinal herniaNomogram modelPostoperative seroma/HematomaRisk factor

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PMID39177908

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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.