Mohamed Sulaiman Abuzaid, Ali Kathm Mohammad Ali Alqatarneh, Zaid Majed Shafaqouj, Intisar Jum'ah Ghadfan Alshadid, Audai Ali Sulaiman AL-Shawabkeh, A. Alshawabkeh
{"title":"休克指数与改良休克指数对COVID-19危重患者的预测价值","authors":"Mohamed Sulaiman Abuzaid, Ali Kathm Mohammad Ali Alqatarneh, Zaid Majed Shafaqouj, Intisar Jum'ah Ghadfan Alshadid, Audai Ali Sulaiman AL-Shawabkeh, A. Alshawabkeh","doi":"10.47310/iarjacc.v3i01.10110","DOIUrl":null,"url":null,"abstract":"Background/Aim: Having reliable indicators and markers that would help in prognosticating the survival are invaluable and would consequently assist in the course of effective treatment. Our objectives in this study were to compare the ability of SI and mSI to predict the primary outcomes of overall 28-day mortality rate in SARS-CoV-2 infected hemodynamic unstable critically ill patients. Methods: This study was retrospectively conducted and both of confirmed and suspected affected critically ill COVID-19 patients were included in our study. Hemodynamics variables of SI and mSI were mathematically calculated after dividing HR over SBP and MAP. All tested variables and others were comparatively compared across the two studied affected COVID-19 patients; Survivors Cohort (Cohort I) and Non-Survivors Cohort (Cohort II) using One Sample and Independent-T Tests in addition to Chi Square Test for categorical retrievable data. ROC curves were constructed for SI and mSI, and the area under the ROC curves (AUROCs) were statistically compared using proposed Delong Method. The optimal operating cutoffs on each ROC curve for the two tested prognosticators were also investigated by picking the highest youden’s index. Results: The mean age of the whole study cohort was 51.88±16.22 years, and the Non-Survivors Cohort were significantly older than the Survivors Cohort. Significantly, males were distributed in the study in approximately 2.57: 1 ratio compared to female. There were statistically significant differences regarding serum albumin levels profile during the 1st admission week, among the 3 serial albumin day levels. The overall incidences of NOPST were assessed at 65.9% during an average of 14.08±4.06 days. The Non-Survivors Cohort had also significantly higher SI and mSI compared to Survivors Cohort [1.16±0.14 bpm/mmHg and 1.67±0.23 bpm/mmHg versus 0.92±0.04 bpm/mmHg and 1.30±0.07 bpm/mmHg; +0.24±0.01 bpm/mmHg and -0.37±0.01 bpm/mmHg, respectively, p-Value=0.001]. SI had a higher AUROC than mSI with Area±SEM (95% CI; Range) of 0.983±0.002 (95% CI; 0.978-0.987) versus 0.959±0.004 (95% CI; 0.950-0.967) and the best cut-off values for SI and mSI were 0.99 bpm/mmHg and 1.43 bpm/mmHg, respectively. Conclusion: In summary, our stated hemodynamic based mortality prognosticators may be an early effective, no-cost bedside, realistic, reliable triaging modalities with high sensitivity, specificity, performance. Also, SI may be used as an additional or readily available red flag bedside assessment tool for severe disease.","PeriodicalId":225934,"journal":{"name":"IAR Journal of Anaesthesiology and Critical Care","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Predictive Value of Shock Index versus Modified Shock Index in Critically Ill COVID-19 Infected Patients\",\"authors\":\"Mohamed Sulaiman Abuzaid, Ali Kathm Mohammad Ali Alqatarneh, Zaid Majed Shafaqouj, Intisar Jum'ah Ghadfan Alshadid, Audai Ali Sulaiman AL-Shawabkeh, A. Alshawabkeh\",\"doi\":\"10.47310/iarjacc.v3i01.10110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background/Aim: Having reliable indicators and markers that would help in prognosticating the survival are invaluable and would consequently assist in the course of effective treatment. Our objectives in this study were to compare the ability of SI and mSI to predict the primary outcomes of overall 28-day mortality rate in SARS-CoV-2 infected hemodynamic unstable critically ill patients. Methods: This study was retrospectively conducted and both of confirmed and suspected affected critically ill COVID-19 patients were included in our study. Hemodynamics variables of SI and mSI were mathematically calculated after dividing HR over SBP and MAP. All tested variables and others were comparatively compared across the two studied affected COVID-19 patients; Survivors Cohort (Cohort I) and Non-Survivors Cohort (Cohort II) using One Sample and Independent-T Tests in addition to Chi Square Test for categorical retrievable data. ROC curves were constructed for SI and mSI, and the area under the ROC curves (AUROCs) were statistically compared using proposed Delong Method. The optimal operating cutoffs on each ROC curve for the two tested prognosticators were also investigated by picking the highest youden’s index. Results: The mean age of the whole study cohort was 51.88±16.22 years, and the Non-Survivors Cohort were significantly older than the Survivors Cohort. Significantly, males were distributed in the study in approximately 2.57: 1 ratio compared to female. There were statistically significant differences regarding serum albumin levels profile during the 1st admission week, among the 3 serial albumin day levels. The overall incidences of NOPST were assessed at 65.9% during an average of 14.08±4.06 days. The Non-Survivors Cohort had also significantly higher SI and mSI compared to Survivors Cohort [1.16±0.14 bpm/mmHg and 1.67±0.23 bpm/mmHg versus 0.92±0.04 bpm/mmHg and 1.30±0.07 bpm/mmHg; +0.24±0.01 bpm/mmHg and -0.37±0.01 bpm/mmHg, respectively, p-Value=0.001]. SI had a higher AUROC than mSI with Area±SEM (95% CI; Range) of 0.983±0.002 (95% CI; 0.978-0.987) versus 0.959±0.004 (95% CI; 0.950-0.967) and the best cut-off values for SI and mSI were 0.99 bpm/mmHg and 1.43 bpm/mmHg, respectively. Conclusion: In summary, our stated hemodynamic based mortality prognosticators may be an early effective, no-cost bedside, realistic, reliable triaging modalities with high sensitivity, specificity, performance. Also, SI may be used as an additional or readily available red flag bedside assessment tool for severe disease.\",\"PeriodicalId\":225934,\"journal\":{\"name\":\"IAR Journal of Anaesthesiology and Critical Care\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IAR Journal of Anaesthesiology and Critical Care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47310/iarjacc.v3i01.10110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IAR Journal of Anaesthesiology and Critical Care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47310/iarjacc.v3i01.10110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Predictive Value of Shock Index versus Modified Shock Index in Critically Ill COVID-19 Infected Patients
Background/Aim: Having reliable indicators and markers that would help in prognosticating the survival are invaluable and would consequently assist in the course of effective treatment. Our objectives in this study were to compare the ability of SI and mSI to predict the primary outcomes of overall 28-day mortality rate in SARS-CoV-2 infected hemodynamic unstable critically ill patients. Methods: This study was retrospectively conducted and both of confirmed and suspected affected critically ill COVID-19 patients were included in our study. Hemodynamics variables of SI and mSI were mathematically calculated after dividing HR over SBP and MAP. All tested variables and others were comparatively compared across the two studied affected COVID-19 patients; Survivors Cohort (Cohort I) and Non-Survivors Cohort (Cohort II) using One Sample and Independent-T Tests in addition to Chi Square Test for categorical retrievable data. ROC curves were constructed for SI and mSI, and the area under the ROC curves (AUROCs) were statistically compared using proposed Delong Method. The optimal operating cutoffs on each ROC curve for the two tested prognosticators were also investigated by picking the highest youden’s index. Results: The mean age of the whole study cohort was 51.88±16.22 years, and the Non-Survivors Cohort were significantly older than the Survivors Cohort. Significantly, males were distributed in the study in approximately 2.57: 1 ratio compared to female. There were statistically significant differences regarding serum albumin levels profile during the 1st admission week, among the 3 serial albumin day levels. The overall incidences of NOPST were assessed at 65.9% during an average of 14.08±4.06 days. The Non-Survivors Cohort had also significantly higher SI and mSI compared to Survivors Cohort [1.16±0.14 bpm/mmHg and 1.67±0.23 bpm/mmHg versus 0.92±0.04 bpm/mmHg and 1.30±0.07 bpm/mmHg; +0.24±0.01 bpm/mmHg and -0.37±0.01 bpm/mmHg, respectively, p-Value=0.001]. SI had a higher AUROC than mSI with Area±SEM (95% CI; Range) of 0.983±0.002 (95% CI; 0.978-0.987) versus 0.959±0.004 (95% CI; 0.950-0.967) and the best cut-off values for SI and mSI were 0.99 bpm/mmHg and 1.43 bpm/mmHg, respectively. Conclusion: In summary, our stated hemodynamic based mortality prognosticators may be an early effective, no-cost bedside, realistic, reliable triaging modalities with high sensitivity, specificity, performance. Also, SI may be used as an additional or readily available red flag bedside assessment tool for severe disease.