tailieunhanh - Báo cáo y học: "he effect of carbon dioxide on near-death experiences in out-of-hospital cardiac arrest survivors: a prospective observational study"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: The effect of carbon dioxide on near-death experiences in out-of-hospital cardiac arrest survivors: a prospective observational study. | Klemenc-Ketis et al. Critical Care 2010 14 R56 http content 14 2 R56 c CRITICAL CARE RESEARCH Open Access The effect of carbon dioxide on near-death experiences in out-of-hospital cardiac arrest survivors a prospective observational study Zalika Klemenc-Ketis1 2 Janko Kersnik1 2 Stefek Grmec1 2 3 4 Abstract Introduction Near-death experiences NDEs are reported by 11-23 of cardiac arrest survivors. Several theories concerning the mechanisms of NDEs exist - including physical psychological and transcendental reasons - but so far none of these has satisfactorily explained this phenomenon. In this study we investigated the effect of partial pressures of O2 and CO2 and serum levels of Na and K on the occurrence of NDEs in out-of-hospital cardiac arrest survivors. Methods A prospective observational study was conducted in the three largest hospitals in Slovenia. Fifty-two consecutive patients median age years 42 males after out-of-hospital cardiac arrest were included. The presence of NDEs was assessed with a self-administered Greyson s NDE scale. The initial partial pressure of end-tidal CO2 the arterial blood partial pressures of O2 and CO2 and the levels of Na and K in venous blood were analysed and studied. Univariate analyses and multiple regression models were used. Results NDEs were reported by 11 of the patients. Patients with higher initial partial pressures of end-tidal CO2 had significantly more NDEs P . Patients with higher arterial blood partial pressures of CO2 had significantly more NDEs P . Scores on a NDE scale were positively correlated with partial pressures of CO2 P and with serum levels of potassium P . The logistic regression model for the presence of NDEs P explained 46 of the variance and revealed higher partial pressures of CO2 to be an independent predictor of NDEs. The linear regression model for a higher score on the NDE scale P explained 34 of the variance and revealed higher partial .