RESUMEN
Frailty is a common condition among older adults with hip fracture. In our study analyzing National Inpatient Sample data, frailty was found to be associated with up to six times increase in in-patient mortality, 55% increased length of hospital stay, and 29% increase in hospital cost. INTRODUCTION: Hip fracture is a significant public health issue posing adverse health outcomes and substantial economic burden to patients and society. Frailty is a prevalent geriatric condition associated with poor clinical outcome among older adults. The association between hip fracture and frailty on both clinical and economic outcomes at the national level has not been estimated. We aimed to determine the association between frailty and in-hospital mortality, length of hospital stay (LOS), and total hospital cost among older patients aged ≥ 65 years who underwent surgery for hip fracture. METHODS: We did an analysis of administrative data using the National Inpatient Sample (NIS) data from 2016 and 2017. Our analysis included data on 29,735 hospitalizations. We first conducted a descriptive analysis of the patient characteristics (demographics and clinical) and hospital-related factors. Three multivariable regression analysis models were then used to determine independent associations between frailty and in-hospital mortality, LOS, and total hospital cost. All three models were adjusted for patients' demographic and clinical characteristics and hospital-related factors. RESULTS: Moderate and high frailty risk were associated with higher odds of death (OR = 2.94 and 95% CI 1.91-4.51 and OR = 5.99 and 95% CI 3.79-9.47), increased LOS (17% and 55%, p < 0.0001), and higher total hospital cost (7% and 29%, p < 0.0001) respectively compared to low frailty risk. CONCLUSION: Frailty was associated with mortality, LOS, and hospital cost after adjusting for patient demographic, clinical, and hospital-related factors. Further research is needed to explore what pre-surgical measures can be assessed to mitigate in-hospital mortality and hospital cost in frail older patients hospitalized for hip fracture surgery.
Asunto(s)
Fragilidad , Fracturas de Cadera , Anciano , Fragilidad/complicaciones , Fragilidad/epidemiología , Evaluación Geriátrica , Hospitalización , Humanos , Tiempo de Internación , Factores de RiesgoRESUMEN
Type 2 diabetes (T2DM) has strong heritability but genetic models to explain heritability have been challenging. We tested deep neural network (DNN) to predict T2DM using the nested case-control study of Nurses' Health Study (3326 females, 45.6% T2DM) and Health Professionals Follow-up Study (2502 males, 46.5% T2DM). We selected 96, 214, 399, and 678 single-nucleotide polymorphism (SNPs) through Fisher's exact test and L1-penalized logistic regression. We split each dataset randomly in 4:1 to train prediction models and test their performance. DNN and logistic regressions showed better area under the curve (AUC) of ROC curves than the clinical model when 399 or more SNPs included. DNN was superior than logistic regressions in AUC with 399 or more SNPs in male and 678 SNPs in female. Addition of clinical factors consistently increased AUC of DNN but failed to improve logistic regressions with 214 or more SNPs. In conclusion, we show that DNN can be a versatile tool to predict T2DM incorporating large numbers of SNPs and clinical information. Limitations include a relatively small number of the subjects mostly of European ethnicity. Further studies are warranted to confirm and improve performance of genetic prediction models using DNN in different ethnic groups.
Asunto(s)
Diabetes Mellitus Tipo 2/genética , Predisposición Genética a la Enfermedad , Diabetes Mellitus Tipo 2/metabolismo , Diabetes Mellitus Tipo 2/fisiopatología , Femenino , Estudios de Seguimiento , Estudios de Asociación Genética/estadística & datos numéricos , Humanos , Modelos Logísticos , Masculino , Modelos Genéticos , Redes Neurales de la Computación , Polimorfismo de Nucleótido Simple/genéticaRESUMEN
OBJECTIVES: To determine the utility of multidetector computed tomography (MDCT) in patients with clinically evident acute appendicitis and to compare the test characteristics of overall clinical impression, Alvarado scores, and MDCT in suspected appendicitis. METHODS: A prospective observational cohort study was conducted in two urban emergency departments (ED). Consecutive patients with suspected acute appendicitis were clinically evaluated by an emergency physician who was asked to determine whether appendicitis was clinically evident or not. Elements of the Alvarado scores were collected and all patients then underwent MDCT and a decision to operate, observe, or discharge the patients was made by a surgeon. The final diagnosis was based on surgical pathology or clinical follow-up. The test characteristics of clinical impression, Alvarado scores and MDCT were then calculated and the rates at which acute appendicitis was falsely diagnosed based on clinical impression and MDCT were compared using McNemar's test. RESULTS: Of 157 study patients, 71 were considered to have clinically evident appendicitis before MDCT and 91 had findings of acute appendicitis on MDCT. 19 of the 71 patients with clinically evident appendicitis did not have appendicitis. 14 of 52 patients with an Alvarado score > or = 8 also did not have appendicitis. Three of 91 patients with acute appendicitis based on MDCT did not have appendicitis. The specificities of clinical impression and Alvarado score > or = 8 were 71.6% and 79.1%, respectively, and these were significantly lower than that of MDCT (95.5%, p<0.05). CONCLUSION: The performance of abdominal MDCT in patients with a high degree of clinical suspicion for acute appendicitis reduces the number of false positives and has the potential to reduce negative appendectomies.