Literature DB >> 31696512

Predicting overall and major postoperative morbidity in gastric cancer patients.

Felipe J F Coimbra1, Victor Hugo F de Jesus2, Carolina Parucce Franco1, Vinícius Fernando Calsavara3, Héber S C Ribeiro1, Alessandro L Diniz1, André Luís de Godoy1, Igor Correia de Farias1, Rachel P Riechelmann2, Maria Dirlei F S Begnami4, Wilson L da Costa1.   

Abstract

BACKGROUND: Postoperative complications after gastric cancer resection vary in different series and they might have a significant impact in long-term outcomes. Our aim was to build a prediction rule on gastric cancer patients' overall and major morbidity risks.
METHODS: This retrospective study included 1223 patients from a single center who were resected between 1992 and 2016. Overall and major morbidity predictors were identified through multiple logistic regression. Models' performances were assessed through discrimination, calibration, and cross-validation, and nomograms were constructed.
RESULTS: The mean age was 61.3-year old and the male gender was more frequent (60%). The most common comorbidities were hypertension (HTN), diabetes, and chronic obstructive pulmonary disease (COPD). A D2-distal gastrectomy was the most frequent procedure and 87% of all lesions were located in the middle or distal third. Age, COPD, coronary heart disease, chronic liver disease, pancreatic resection, and operative time were independent predictors of overall and major morbidity. The extent of resection and splenectomy was associated with overall events and HTN with major ones. Both models were very effective in predicting events among patients at higher risk.
CONCLUSIONS: The overall and major morbidity models and nomograms included clinical- and surgical-related data that were very effective in predicting events, especially for high-risk patients.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  gastric cancer; major morbidity; morbidity risk; risk prediction

Mesh:

Year:  2019        PMID: 31696512     DOI: 10.1002/jso.25743

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  9 in total

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