Assuntos
Pressão Arterial , Perda Sanguínea Cirúrgica , Indicadores Básicos de Saúde , Frequência Cardíaca , Unidades de Terapia Intensiva , Admissão do Paciente , Idoso , Idoso de 80 Anos ou mais , Volume Sanguíneo , Humanos , Recém-Nascido , Período Intraoperatório , Pessoa de Meia-Idade , Cuidados Pós-Operatórios , Valor Preditivo dos Testes , Medição de Risco/métodos , Procedimentos Cirúrgicos OperatóriosRESUMO
BACKGROUND: The Surgical Apgar Score (SAS, a 10-point score calculated using limited intraoperative data) can correlate with postoperative morbidity and mortality after general surgery. We evaluated reliability of SAS in a veteran population. STUDY DESIGN: We prospectively collected demographics, medical history, type of surgery, and postoperative outcomes for any veteran undergoing general surgery at our institution (2006-2011). We categorized patients in 4 SAS groups and compared differences in morbidity and mortality. RESULTS: Our study population included 2,125 patients (SAS ≤4: n = 29; SAS 5-6: n = 227; SAS 7-8: n = 797; SAS 9-10: n = 1,072). Low-SAS patients were likely to have significant preoperative comorbidities and to undergo major surgery, and had increased postoperative morbidity and 30-day mortality. CONCLUSIONS: The SAS is easily calculated from 3 routinely available intraoperative measurements, correlates with fixed preoperative risk (acute conditions, pre-existing comorbidities, operative complexity), and effectively identifies veterans at high risk for postoperative complications.
Assuntos
Indicadores Básicos de Saúde , Complicações Pós-Operatórias/epidemiologia , Medição de Risco/métodos , Procedimentos Cirúrgicos Operatórios , Veteranos , Idoso , Feminino , Seguimentos , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Morbidade/tendências , Estudos Prospectivos , Reprodutibilidade dos Testes , Fatores de Risco , Taxa de Sobrevida/tendências , Estados Unidos/epidemiologiaRESUMO
OBJECTIVE: To determine the effects of body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) on outcomes after liver resection performed at Veterans Affairs medical centers. DESIGN, SETTING, AND PATIENTS: We queried the Veterans Affairs Surgical Quality Improvement Program database for liver resections (2005-2008) and grouped the patients into 5 BMI categories: normal weight (BMI 18.5-24.9), overweight (BMI 25.0-29.9), obese class 1 (BMI 30.0-34.9), obese class 2 (BMI 35.0-39.9), and obese class 3 (BMI ≥ 40.0). Differences in risk factors and perioperative complications across groups were analyzed in univariate and multivariate analyses. RESULTS: Of 403 patients who underwent hepatectomy, 106 (26%) were normal weight, 161 (40%) were overweight, 94 (23%) were obese class 1, 31 (8%) were obese class 2, and 11 (3%) were obese class 3. Among these groups, higher BMI was associated with increased rates of hypertension (52%, 61%, 77%, 77%, and 73%, respectively; P = .002) and diabetes (18%, 27%, 36%, 39%, and 45%, respectively; P = .04) and lower incidence of smokers (53%, 35%, 30%, 16%, and 9%, respectively; P < .001). The BMI groups were similar in demographic characteristics and metrics correlating with preexisting liver disease. There were no differences across BMI groups in overall and specific morbidity or in length of stay. Compared with the other groups, obese class 3 patients received more blood transfusions (mean [SD], 4.3 [2.7] in obese class 3 patients vs 1.1 [0.2] in normal-weight patients; P = .02) and had a higher 30-day mortality (27% in obese class 3 patients vs 6% in normal-weight patients; P = .05). Multivariate analyses confirmed obese class 3 as an independent predictor of postoperative mortality. CONCLUSIONS: Obesity did not increase postoperative complications after liver resection in veterans. After adjusting for other clinical factors, extreme obesity (BMI ≥ 40.0) was an independent risk factor for increased mortality.