ECG abnormalities predict neurogenic pulmonary edema in patients with subarachnoid hemorrhage.

OBJECTIVE: The study aims to assess if electrocardiographic (ECG) abnormalities could predict the development of neurogenic pulmonary edema (NPE) within 24 hours in cases of spontaneous subarachnoid hemorrhage (SAH). METHODS: We studied prospectively a cohort of 269 adult patients with nontraumatic SAH in an emergency department of a university-affiliated medical center. A 12-lead ECG was taken for these patients. The patients were stratified into NPE and non-NPE based on serially clinical and radiologic findings. The ECG abnormalities were compared between these 2 groups of patients. RESULTS: Compared with the non-NPE (n = 229), the NPE (n = 40) had significantly higher World Federation of Neurological Surgeons class (P < .001), higher Hunt-Hess scale (P < .001), and higher prevalence of diabetes mellitus (P = .033). In addition, the percentage of ECG morphological abnormality was significantly higher in NPE, in which nonspecific ST- or T-wave changes (NSSTTCs) are significantly higher. Multiple logistic regression model identified World Federation of Neurological Surgeons class (95% confidence interval [CI], 2.6-13.3; P < .001), abnormal Q or QS wave (95% CI, 1.1-9.1; P = .038), and NSSTTCs (95% CI, 1.2-7.5; P = .016) as the significant variables associated with NPE. CONCLUSIONS: Electrocardiographic abnormalities, especially abnormal Q or QS wave and NSSTTCs, may predict the development of NPE within 24 hours in adult patients with spontaneous SAH.

Heart Rate Variability Predicts Neurogenic Pulmonary Edema in Patients with Subarachnoid Hemorrhage.

BACKGROUND: An alternation of sympathetic and vagal nervous activity has been suggested to be one possible mechanism of neurogenic pulmonary edema (NPE) in patients with subarachnoid hemorrhage (SAH). The study aimed to explore if sympathovagal modulation assessed by frequency domains of heart rate variability (HRV) is associated with impending NPE in patients with SAH. METHODS: Two hundred forty-eight consecutive spontaneous SAH adult patients were included in this single-center cohort study. A continuous 10-min electrocardiography for HRV analysis was recorded. The patients were stratified into NPE and non-NPE based on serially clinical and radiologic findings within 24 h. Seven frequency domains of HRV were compared between these 2 groups. RESULTS: Compared to the non-NPE (n = 212), the NPE (n = 36) had significantly higher mean arterial pressure, higher World Federation of Neurological Surgeons (WFNS) class, higher Hunt-Hess scale, lower total power (TP), lower very low-frequency component, lower low-frequency component, lower normalized low-frequency component (LF %), higher normalized high-frequency component, and lower low-frequency component/high-frequency component ratio. Multiple logistic regression model identified WFNS class (OR 4.048; 95 % CI 1.589-10.311), LF % (OR 0.933; 95 % CI 0.910-0.958), and TP (OR 0.995; 95 % CI 0.992-0.998) as the significant variables associated with occurrence of NPE. The area under receiver operating characteristic curves of LF % and TP were found to be 0.838 (95 % CI 0.774-0.901) and 0.653 (95 % CI 0.557-0.749), respectively. CONCLUSION: Loss of cardiac variability and depressed sympathovagal modulation, represented by TP and LF %, may predict the development of NPE in the early stage in patients with SAH.

Predicting the hyperglycemic crisis death (PHD) score: a new decision rule for emergency and critical care.

BACKGROUND: We investigated independent mortality predictors of hyperglycemic crises and developed a prediction rule for emergency and critical care physicians to classify patients into mortality risk and disposition groups. METHODS: This study was done in a university-affiliated medical center. Consecutive adult patients (> 18 years old) visiting the emergency department (ED) between January 2004 and December 2010 were enrolled when they met the criteria of a hyperglycemic crisis. Data were separated into derivation and validation sets-the former were used to predict the latter. December 31, 2008, was the cutoff date. Thirty-day mortality was the primary endpoint. RESULTS: We enrolled 295 patients who made 330 visits to the ED: derivation set = 235 visits (25 deaths: 10.6%), validation set = 95 visits (10 deaths: 10.5%). We found 6 independent mortality predictors: Absent tachycardia, Hypotension, Anemia, Severe coma, Cancer history, and Infection (AHA.SCI). After assigning weights to each predictor, we developed a Predicting Hyperglycemic crisis Death (PHD) score that stratifies patients into mortality-risk and disposition groups: low (0%) (95% CI, 0-0.02%): treatment in a general ward or the ED; intermediate (24.5%) (95% CI, 14.8-39.9%): the intensive care unit or a general ward; and high (59.5%) (95% CI, 42.2-74.8%): the intensive care unit. The area under the curve for the rule was 0.946 in the derivation set and 0.925 in the validation set. CONCLUSIONS: The PHD score is a simple and rapid rule for predicting 30-day mortality and classifying mortality risk and disposition in adult patients with hyperglycemic crises.

Quick-SOFA score to predict mortality among geriatric patients with influenza in the emergency department.

The quick sequential organ failure assessment (qSOFA) score is widely used to assess the risk of sepsis and predict in-hospital mortality in patients with suspected infection. However, its ability to predict mortality among geriatric patients with influenza in the emergency department (ED) remains unclear. Therefore, this study was conducted to delineate this issue.A retrospective case-control study was conducted on geriatric patients (age ≥65 years) with influenza who visited the ED of a medical center between January 01, 2010, and December 31, 2015. Demographic data, vital signs, past histories, influenza subtypes, and treatment outcomes were included in the analysis. We assessed the accuracy of the qSOFA score in predicting 30-day mortality via logistic regression. Covariate adjustment of the area under the receiver operating characteristic curve (AUROC) via regression modeling was performed too.In total, 409 geriatric ED patients with mean age of 79.5 years and nearly equal sex ratio were recruited. The mean qSOFA score was 0.55 ±â€Š0.7. The Hosmer-Lemeshow goodness-of-fit test was 0.79 for qSOFA score. Patients with qSOFA score of ≥2 (odds ratio, 4.21; 95% confidence interval [CI], 1.56-11.40) had increased in-hospital mortality. qSOFA score of ≥2 also had excellent in-hospital mortality discrimination with an adjusted AUROC of 0.81 (95% CI, 0.71-0.90). A qSOFA of ≥2 had prominent specificity of 0.89 (95% CI, 0.86-0.92).An increase in qSOFA score of 2 greatly predicts mortality in geriatric patients with influenza.