Role of pulse oximetric monitoring during gastrointestinal endoscopy. Prospective multicenter study of the Gastroenterological Working Group of the Veszprém Regional Committee of the Hungarian Academy of Sciences (VEAB)

2013 ◽  
Vol 154 (21) ◽  
pp. 825-833
Author(s):  
Zoltán Döbrönte ◽  
Mária Szenes ◽  
Beáta Gasztonyi ◽  
Lajos Csermely ◽  
Márta Kovács ◽  
...  

Introduction: Recent guidelines recommend routine pulse oximetric monitoring during endoscopy, however, this has not been the common practice yet in the majority of the local endoscopic units. Aims: To draw attention to the importance of the routine use of pulse oximetric recording during endoscopy. Method: A prospective multicenter study was performed with the participation of 11 gastrointestinal endoscopic units. Data of pulse oximetric monitoring of 1249 endoscopic investigations were evaluated, of which 1183 were carried out with and 66 without sedation. Results: Oxygen saturation less than 90% was observed in 239 cases corresponding to 19.1% of all cases. It occurred most often during endoscopic retrograde cholangiopancreatography (31.2%) and proximal enteroscopy (20%). Procedure-related risk factors proved to be the long duration of the investigation, premedication with pethidine (31.3%), and combined sedoanalgesia with pethidine and midazolam (34.38%). The age over 60 years, obesity, consumption of hypnotics or sedatives, severe cardiopulmonary state, and risk factor scores III and IV of the American Society of Anestwere found as patient-related risk factors. Conclusion: To increase the safety of patients undergoing endoscopic investigation, pulse oximeter and oxygen supplementation should be the standard requirement in all of the endoscopic investigation rooms. Pulse oximetric monitoring is advised routinely during endoscopy with special regard to the risk factors of hypoxemia. Orv. Hetil., 2013, 154, 825–833.

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254343
Author(s):  
Ryo Ueno ◽  
Takateru Masubuchi ◽  
Atsushi Shiraishi ◽  
Satoshi Gando ◽  
Toshikazu Abe ◽  
...  

This study aimed to assess the value of quick sequential organ failure assessment (qSOFA) combined with other risk factors in predicting in-hospital mortality in patients presenting to the emergency department with suspected infection. This post-hoc analysis of a prospective multicenter study dataset included 34 emergency departments across Japan (December 2017 to February 2018). We included adult patients (age ≥16 years) who presented to the emergency department with suspected infection. qSOFA was calculated and recorded by senior emergency physicians when they suspected an infection. Different types of sepsis-related risk factors (demographic, functional, and laboratory values) were chosen from prior studies. A logistic regression model was used to assess the predictive value of qSOFA for in-hospital mortality in models based on the following combination of predictors: 1) qSOFA-Only; 2) qSOFA+Age; 3) qSOFA+Clinical Frailty Scale (CFS); 4) qSOFA+Charlson Comorbidity Index (CCI); 5) qSOFA+lactate levels; 6) qSOFA+Age+CCI+CFS+lactate levels. We calculated the area under the receiver operating characteristic curve (AUC) and other key clinical statistics at Youden’s index, where the sum of sensitivity and specificity is maximized. Following prior literature, an AUC >0.9 was deemed to indicate high accuracy; 0.7–0.9, moderate accuracy; 0.5–0.7, low accuracy; and 0.5, a chance result. Of the 951 patients included in the analysis, 151 (15.9%) died during hospitalization. The AUC for predicting in-hospital mortality was 0.627 (95% confidence interval [CI]: 0.580−0.673) for the qSOFA-Only model. Addition of other variables only marginally improved the model’s AUC; the model that included all potentially relevant variables yielded an AUC of only 0.730 (95% CI: 0.687–0.774). Other key statistic values were similar among all models, with sensitivity and specificity of 0.55−0.65 and 0.60−0.75, respectively. In this post-hoc data analysis from a prospective multicenter study based in Japan, combining qSOFA with other sepsis-related risk factors only marginally improved the model’s predictive value.


2011 ◽  
Vol 39 (6) ◽  
pp. 1493-1499 ◽  
Author(s):  
Simon Li ◽  
Catherine D. Krawczeski ◽  
Michael Zappitelli ◽  
Prasad Devarajan ◽  
Heather Thiessen-Philbrook ◽  
...  

2016 ◽  
Vol 40 (7) ◽  
pp. 422-430 ◽  
Author(s):  
M. Busico ◽  
D. Intile ◽  
M. Sívori ◽  
N. Irastorza ◽  
A.L. Alvarez ◽  
...  

2015 ◽  
Vol 5 (1_suppl) ◽  
pp. s-0035-1554345-s-0035-1554345
Author(s):  
Kenneth M. C. Cheung ◽  
Cora Bow ◽  
Dino Samartzis ◽  
Mark Dekutoski ◽  
Frank Schwab ◽  
...  

2019 ◽  
Vol 8 (10) ◽  
pp. 1666
Author(s):  
Timo Iden ◽  
Amke Caliebe ◽  
Jochen Renner ◽  
Maj-Britt Hertz ◽  
Jan Höcker ◽  
...  

Extended postoperative care and intensive care unit capacity is limited and efficient patient allocation is mandatory. This study aims to develop an effective yet simple score to predict indication for extended postoperative care, as there is a lack of objective criteria for early prediction of admission to extended care in surgical patients. This prospective observational study was divided into two periods (Period 1: Extended Postoperative Care-Score (EXPO)-Score generation; Period 2: EXPO-Score validation) and it was performed at a tertiary university center in Germany. A total of 4042 (Period 1) and 2198 (Period 2) adult patients ≥ 18 years old receiving elective or emergency surgery were included in this study. After identifying patient- and surgery-related risk factors by an expert panel, the EXPO-Score was developed through logistic regression from data of Period 1 and validated in Period 2. Three risk factors are sufficient for generating a reliable predictive EXPO-Score: (1) the American Society of Anesthesiologists’ (ASA) physical status, (2) cardiopulmonary physical exercise status expressed in metabolic equivalents (MET), and (3) the type of surgery. The score threshold (0.23) has a sensitivity of 0.87, a specificity of 0.91, and an accuracy of 0.90 for predicting indication for extended postoperative care. The EXPO-Score provides a validated, early collectable, and easy-to-use tool for predicting indication of extended postoperative care in adult surgical patients.


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