A Prospective International Multicentre Cohort Study of Intraoperative Heart Rate and Systolic Blood Pressure and Myocardial Injury After Noncardiac Surgery

Abstract Background Although the shock index is known to predict mortality and other severe outcomes, deriving it requires complex calculations. Subtracting the systolic blood pressure from the heart rate may produce a simple shock index that would be a clinically useful substitute for the shock index. In this study, we investigated whether the simple shock index was equivalent to the shock index. Methods This observational cohort study was conducted at 2 tertiary care hospitals. Patients who were transported by ambulance were recruited for this study and were excluded if they were aged < 15 years, had experienced prehospital cardiopulmonary arrest, or had undergone inter-hospital transfer. Pearson’s product-moment correlation coefficient and regression equation were calculated, and two one-sided tests were performed to examine their equivalency. Results Among 5429 eligible patients, the correlation coefficient between the shock index and simple shock index was extremely high (0.917, 95% confidence interval 0.912 to 0.921, P < .001). The regression equation was estimated as sSI = 258.55 log SI. The two one-sided tests revealed a very strong equivalency between the shock index and the index estimated by the above equation using the simple shock index (mean difference was 0.004, 90% confidence interval 0.003 to 0.005). Conclusion The simple shock index strongly correlated with the shock index.

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Equivalency between the shock index and subtracting the systolic blood pressure from the heart rate: An observational cohort study

10.21203/rs.3.rs-51296/v1 ◽

2020 ◽

Author(s):

Yohei Kamikawa ◽

Hiroyuki Hayashi

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Cohort Study ◽

Confidence Interval ◽

Systolic Blood Pressure ◽

Correlation Coefficient ◽

Observational Cohort Study ◽

Regression Equation ◽

Shock Index ◽

Observational Cohort

Abstract Background: Although the shock index is known to predict mortality and other severe outcomes, deriving it requires complex calculations. Subtracting the systolic blood pressure from the heart rate may produce a simple shock index that would be a clinically useful substitute for the shock index. In this study, we investigated whether the simple shock index was equivalent to the shock index.Methods: This observational cohort study was conducted at 2 tertiary care hospitals. Patients who were transported by ambulance were recruited for this study and were excluded if they were aged < 15 years, had experienced prehospital cardiopulmonary arrest, or had undergone inter-hospital transfer. Pearson’s product-moment correlation coefficient and regression equation were calculated, and two one-sided tests were performed to examine their equivalency.Results: Among 5,429 eligible patients, the correlation coefficient between the shock index and simple shock index was extremely high (0.917, 95% confidence interval 0.912 to 0.921, P < .001). The regression equation was estimated as sSI = 258.55 log SI. The two one-sided tests revealed a very strong equivalency between the shock index and the index estimated by the above equation using the simple shock index (mean difference was 0.004, 90% confidence interval 0.003 to 0.005).Conclusion: The simple shock index strongly correlated with the shock index.

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The effect of duration of mobile phone usage on blood pressure and heart rate: Evidence from a cohort study (Preprint)

10.2196/preprints.21427 ◽

2020 ◽

Author(s):

Mehdi Moradinazar

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Cohort Study ◽

Systolic Blood Pressure ◽

Mobile Phone ◽

Diastolic Blood Pressure ◽

Mobile Phones ◽

Principal Component ◽

Mobile Phone Use ◽

Mobile Phone Usage

BACKGROUND Despite being considered valuable information communication technology (ICT) tools, mobile phones can have some adverse health consequences. OBJECTIVE The present study was conducted to investigate the relationships of mobile phone usage with blood pressure and heart rate in the participants in the first phase of Ravansar Non-Communicable Diseases (RaNCD) cohort study. METHODS The present study used the data collected from the recruitment stage of a population-based investigation, RaNCD cohort study in western part of Iran. The participants with the mobile phone were divided into four equal quantiles using principal component analysis (PCA) to categorize the mean duration of mobile phone usage over the previous 12 months in min/day. RESULTS Among a total of 8801 participants 35-65 in RaNCD cohort, the duration of mobile phone use was 19.5 min/day, as 1515 (17.0%) of the participants in RaNCD cohort study did not use mobile phones. After controlling the confounding variables, the reduction in systolic blood pressure (SBP) was found to be higher than that in diastolic blood pressure (DBP) with an increase in the duration of mobile phone use. In fact, SBP -1.86(-2.83, -0.89) was less than DBP -1.86 (-2.83, -0.89) in the subjects who used their phones for 23.5-330 min/day compared to in those who never used a mobile phone. CONCLUSIONS The results of this study show that exposure to a cellular phone does not terribly effect on SBP, DBP and heart rate. We also found that cell-phone usage was inverse associated with hypertension in women than men; nevertheless, further studies are recommended that be conducted to confirm the significance of this relationship CLINICALTRIAL mobile phone, hypertension, systolic blood pressure, diastolic blood pressure

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Preoperative systemic inflammation and perioperative myocardial injury: prospective observational multicentre cohort study of patients undergoing non-cardiac surgery

British Journal of Anaesthesia ◽

10.1016/j.bja.2018.09.002 ◽

2019 ◽

Vol 122 (2) ◽

pp. 180-187 ◽

Cited By ~ 25

Author(s):

G.L. Ackland ◽

T.E.F. Abbott ◽

D. Cain ◽

M.R. Edwards ◽

P. Sultan ◽

...

Keyword(s):

Cardiac Surgery ◽

Cohort Study ◽

Systemic Inflammation ◽

Myocardial Injury ◽

Multicentre Cohort Study ◽

Multicentre Cohort

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Interarm systolic blood pressure difference is associated with myocardial injury after noncardiac surgery

Kardiologia Polska ◽

10.5603/kp.a2016.0008 ◽

2016 ◽

pp. 674-680 ◽

Cited By ~ 1

Author(s):

Erdal Belen ◽

Ender Ozal ◽

Akif Bayyigit ◽

Senay Gunaydın ◽

Aysen Helvacı

Keyword(s):

Blood Pressure ◽

Systolic Blood Pressure ◽

Pressure Difference ◽

Myocardial Injury ◽

Noncardiac Surgery ◽

Blood Pressure Difference

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Equivalency Between the Shock Index and Subtracting the Systolic Blood Pressure From the Heart Rate: An Observational Cohort Study

10.21203/rs.3.rs-76143/v1 ◽

2020 ◽

Author(s):

Yohei Kamikawa ◽

Hiroyuki Hayashi

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Cohort Study ◽

Confidence Interval ◽

Systolic Blood Pressure ◽

Correlation Coefficient ◽

Observational Cohort Study ◽

Regression Equation ◽

Shock Index ◽

Observational Cohort

Abstract Background: Although the shock index is known to predict mortality and other severe outcomes, deriving it requires complex calculations. Subtracting the systolic blood pressure from the heart rate may produce a simple shock index that would be a clinically useful substitute for the shock index. In this study, we investigated whether the simple shock index was equivalent to the shock index.Methods: This observational cohort study was conducted at 2 tertiary care hospitals. Patients who were transported by ambulance were recruited for this study and were excluded if they were aged <15 years, had experienced prehospital cardiopulmonary arrest, or had undergone inter-hospital transfer. Pearson’s product-moment correlation coefficient and regression equation were calculated, and two one-sided tests were performed to examine their equivalency. Results: Among 5,429 eligible patients, the correlation coefficient between the shock index and simple shock index was extremely high (0.917, 95% confidence interval 0.912 to 0.921, P <.001). The regression equation was estimated as sSI = 258.55 log SI. The two one-sided tests revealed a very strong equivalency between the shock index and the index estimated by the above equation using the simple shock index (mean difference was 0.004, 90% confidence interval 0.003 to 0.005). Conclusion: The simple shock index strongly correlated with the shock index.

Download Full-text