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1.
Saudi J Anaesth ; 13(1): 3-8, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30692881

RESUMO

BACKGROUND: Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (POSSUM) is a validated instrument used to predict morbidity. The aim of our study was to evaluate the performance of the POSSUM score system on predicting perioperative frailty and quality of life (QOL) in elderly surgical patients. PATIENTS AND METHODS: An observational prospective study was conducted during 3 months. POSSUM was used to determine operative morbidity risk. Patients with a POSSUM score ≥26 were considered as having a high POSSUM (PHP). WHODAS 2.0, EuroQOL-5 dimensions (EQ-5D), Charlson score, and the Clinical Frailty Scale were used to assess the QOL and frailty. Chi-square, Fisher's exact, or Mann-Whitney tests were used for comparisons. RESULTS: Two hundred and thirty-five patients were included. Median age was 69 years; 58% were ASA I/II and 42% ASA III/IV. Frailty was present in 53 patients (23%). Median POSSUM score was 26. Patients PHP were older (median age 71 vs. 68, P = 0.008), more frequently ASA III/IV (P = 0.001), had higher median Charlson scores (7 vs. 5, P = 0.006) and were more frail (49% vs. 26%, P < 0.001). PHP presented more problems in EQ-5D dimensions preoperatively (mobility: 59% vs 41%, P = 0.008; care: 41% vs. 25%, P = 0.013; activity: 52% vs. 32%, P = 0.002; pain: 59% vs. 45%, P = 0.041) but not anxiety (P = 0.137). Three months after surgery, PHP patients presented more problems in mobility: 63% vs. 38%, P < 0.001; care: 48% vs. 31%, P = 0.009; activity: 58% vs. 44%, P = 0.036; pain 59% vs. 37%, P = 0.001 and anxiety: 54% vs. 50%, P = 0.025. CONCLUSIONS: Patients PHP were frailer and had worse perioperative QOL.

2.
J Cardiothorac Vasc Anesth ; 32(2): 960-967, 2018 04.
Artigo em Inglês | MEDLINE | ID: mdl-29169796

RESUMO

OBJECTIVE: POSSUM system is widely used and validated for 30-day mortality and morbidity prediction. The aim of this study was to evaluate the performance of five POSSUM's equations (POSSUM, P-POSSUM, V-POSSUM, V-POSSUM physiology and V-POSSUM Cambridge) on predicting 30-day mortality and morbidity in elderly patients undergoing major elective vascular surgery. DESIGN: A retrospective longitudinal cohort study. SETTING: A study conducted at an University Hospital. PARTICIPANTS: 208 elderly patients (≥ 60 years) undergoing major elective vascular surgery. MEASUREMENTS: Data collected from the clinical files included patient's characteristics, diagnosis, surgery, comorbidities, parameters from POSSUM score, 30, 60 and 90-day mortality and 30-day morbidity. POSSUM system's goodness-of-fit for predicting mortality and morbidity was assessed by Hosmer-Lemeshow test (H-L T) and Standardized Mortality/Morbidity Ratio (SMR) and discriminative ability by the area under the ROC curves (ROC-AUC). Patients' average age was 70.8 years, 81% males. INTERVENTIONS: None. MAIN RESULTS: The overall 30-day mortality rate was 2.97% (n=6) and 30-day morbidity was 29.2% (n=59). POSSUM, P-POSSUM, V-POSSUM, V-POSSUM physiology and V-POSSUM Cambridge equation predicted an overall of 29.1, 4.43, 15.3, 21.9 and 13.5 deaths, respectively. POSSUM morbidity equation predicted 105.0 complications. H-LT p-values were 0.001, 0.164, 0.208, 0.011, 0.331 and <0.001, respectively. SMRs and 95% confidence interval (CI) were 0.21[0.04-0.37], 1.35[0.27-2.44], 0.39[0.08-0.71], 0.27[0.06-0.49], 0.44[0.09-0.80] and 0.56[0.42-0.71], respectively. ROC-AUC and 95% CI were 0.72[0.49-0.95], 0.72[0.49-0.95], 0.73[0.51-0.94], 0.69[0.50-0.89], 0.72[0.52-0.92] and 0.71[0.63-0.79], respectively. CONCLUSIONS: P-POSSUM had the best performance predicting 30-day mortality. All the other overestimated 30-day mortality. Prediction of morbidity was inadequate. POSSUM scoring models may not be robust tools for risk prediction in elderly patients undergoing major elective vascular surgery and need further calibration and discrimination.


Assuntos
Procedimentos Cirúrgicos Eletivos/mortalidade , Procedimentos Cirúrgicos Vasculares/mortalidade , Idoso , Humanos , Estudos Longitudinais , Pessoa de Meia-Idade , Morbidade , Estudos Retrospectivos
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