Evaluation of the POSSUM, p-POSSUM, o-POSSUM, and APACHE II scoring systems in predicting postoperative mortality and morbidity in gastric cancer patients

Hong, Shikai; Wang, Shengying; Xu, Guozeng; Liu, Jinlu

doi:10.1016/j.asjsur.2015.07.004

Cited by 28 publications

(22 citation statements)

References 19 publications

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“…Various risk scoring systems have been introduced to identify surgical complications, including the American Society of Anesthesiologists (ASA) classification, APACHE (Acute Physiology and Chronic Health Evaluation), and POSSUM (Psychological and Operative Severity Score for the Enumeration of Mortality and Morbidity) [66,68,69]. Hong et al compared the performance of POSSUM and APACHE II scoring systems for predicting surgical morbidity in 612 gastric cancer patients undergoing gastrectomy and found that the rate predicted by POSSUM, 36.6%, was close to the actual rate of 34% [70]. However, these scoring systems have limitations, such as interobserver variation (ASA), complexity (APACHE), and overestimation of mortality in lower risk groups (POSSUM).…”

Section: Integrative Risk Modelsmentioning

confidence: 99%

Preoperative predictors of postoperative complications after gastric cancer resection

Kanda¹

2019

Surg Today

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Risk management is becoming an increasingly important healthcare issue. Gastrectomy with lymphadenectomy is still the mainstay of treatment for localized gastric cancer, but it is sometimes associated with postoperative complications that compromise the patient's quality of life, tolerability of adjuvant treatment, and prognosis. Parameters based exclusively on preoperative factors can identify patients most at risk of postoperative complications, whereby surgeons can provide the patient with precise informed consent information and optimal perioperative management. Ultimately, these predictive tools can also help minimize medical costs. In this context, many studies have identified factors that predict postoperative complications, including indicators based on body constitution, nutrition, inflammation, organ function and hypercoagulation. This review presents our current understanding and discusses some future perspectives of preoperatively identified factors predictive of complications after resection for gastric cancer.

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Section: Integrative Risk Modelsmentioning

confidence: 99%

Preoperative predictors of postoperative complications after gastric cancer resection

Kanda¹

2019

Surg Today

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“…Postoperative morbidity and mortality rates are objective measures of outcomes that can be used to modify behavior and assess the quality of care. Previous studies have evidenced the important role of the POSSUM system as a predictor of postoperative morbidity and mortality 5,9,10 . A systematic review of the literature that evaluated POSSUM and its variants in patients undergoing surgery for colorectal cancer showed that the POSSUM score was able to predict morbidity in a reliable way and the P-POSSUM was the most accurate predictor of mortality, even when compared with CR-POSSUM 1 .…”

Section: Discussionmentioning

confidence: 99%

The applicability of POSSUM and P-POSSUM scores as predictors of morbidity and mortality in colorectal surgery

Carvalho-E-Carvalho

Queiroz

Martins-DA-Costa

et al. 2018

Rev. Col. Bras. Cir.

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“…The widely adopted POSSUM score is generally used by surgeons to evaluate postoperative complications and risk of mortality within 30 days after major operations such as macrovascular surgery, gastric cancer surgery, colorectal surgery, thoracic surgery and joint replacement 26. The POSSUM score has been evaluated in numerous studies, and its modifications have been recognised as highly effective for surgical audit purposes.…”

Section: Methodsmentioning

confidence: 99%

Development and validation of a postoperative delirium prediction model for patients admitted to an intensive care unit in China: a prospective study

et al. 2019

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ObjectivesWe aimed to develop and validate a postoperative delirium (POD) prediction model for patients admitted to the intensive care unit (ICU).DesignA prospective study was conducted.SettingThe study was conducted in the surgical, cardiovascular surgical and trauma surgical ICUs of an affiliated hospital of a medical university in Heilongjiang Province, China.ParticipantsThis study included 400 patients (≥18 years old) admitted to the ICU after surgery.Primary and secondary outcome measuresThe primary outcome measure was POD assessment during ICU stay.ResultsThe model was developed using 300 consecutive ICU patients and was validated using 100 patients from the same ICUs. The model was based on five risk factors: Physiological and Operative Severity Score for the enumeration of Mortality and morbidity; acid–base disturbance and history of coma, diabetes or hypertension. The model had an area under the receiver operating characteristics curve of 0.852 (95% CI 0.802 to 0.902), Youden index of 0.5789, sensitivity of 70.73% and specificity of 87.16%. The Hosmer-Lemeshow goodness of fit was 5.203 (p=0.736). At a cutoff value of 24.5%, the sensitivity and specificity were 71% and 69%, respectively.ConclusionsThe model, which used readily available data, exhibited high predictive value regarding risk of ICU-POD at admission. Use of this model may facilitate better implementation of preventive treatments and nursing measures.

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Evaluation of the POSSUM, p-POSSUM, o-POSSUM, and APACHE II scoring systems in predicting postoperative mortality and morbidity in gastric cancer patients

Abstract: The POSSUM scoring system performed well with respect to predicting morbidity risk following gastric cancer resection. For predicting postoperative mortality, p-POSSUM and o-POSSUM exhibited superior performance relative to POSSUM and APACHE II.

Cited by 28 publications

References 19 publications

Preoperative predictors of postoperative complications after gastric cancer resection

Preoperative predictors of postoperative complications after gastric cancer resection

The applicability of POSSUM and P-POSSUM scores as predictors of morbidity and mortality in colorectal surgery

Development and validation of a postoperative delirium prediction model for patients admitted to an intensive care unit in China: a prospective study

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