L. Berikashvili, A. V. Smirnova, E. A. Laricheva, Nadezhda D. Gracheva, Kristina K. Kadanceva, Mihail Ya. Yadgarov, A. Grechko
{"title":"预测选择性心脏手术合并体外循环后多器官功能衰竭和急性肾损伤的Nomogram M效度评估","authors":"L. Berikashvili, A. V. Smirnova, E. A. Laricheva, Nadezhda D. Gracheva, Kristina K. Kadanceva, Mihail Ya. Yadgarov, A. Grechko","doi":"10.53652/2782-1730-2022-3-3-30-37","DOIUrl":null,"url":null,"abstract":"Purpose. To evaluate the predictive value of nomogram M for multiple organ failure (MOF) and acute kidney injury (AKI) after elective cardiac surgery with cardiopulmonary bypass. Materials and methods. This was a retrospective cohort study. The predictive value of nomogram M for multiple organ failure and acute kidney injury after elective cardiac surgery with cardiopulmonary bypass was evaluated using ROC-analysis. Results. The sample size was 158 patients. The incidence of AKI was 5.7% (9 of 158 patients). The incidence of MOF was 3.8% (6 of 158 patients). AUC nomogram M for AKI was 0.714 [95% CI: 0.555–0.874] (p=0.031); the cut-off value was 12,5 points; the sensitivity was 66.67% and specificity was 82.55%; the odds ratio was 9.46 (95% CI: 2.22–40.30) (p<0.001). AUC nomogram M for MOF was 0.770 [95% CI: 0.594–0.946] (p=0.025); the cut-off value was 12,5 points; the sensitivity was 83.33% and specificity was 82.24%; the odds ratio was 23.15 (95% CI: 2.60–206.20) (p<0.001). Conclusion. Nomogram M has an acceptable predictive value for multiple organ failure and acute kidney injury after elective cardiac surgery with cardiopulmonary bypass based on the results of the ROC-analysis.","PeriodicalId":344630,"journal":{"name":"Medical Bulletin of the Main Military Clinical Hospital named after N.N. Burdenko","volume":"165 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nomogram M validity assessment for predicting multiple organ failure and acute kidney injury after elective cardiac surgery with cardiopulmonary bypass\",\"authors\":\"L. Berikashvili, A. V. Smirnova, E. A. Laricheva, Nadezhda D. Gracheva, Kristina K. Kadanceva, Mihail Ya. Yadgarov, A. Grechko\",\"doi\":\"10.53652/2782-1730-2022-3-3-30-37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose. To evaluate the predictive value of nomogram M for multiple organ failure (MOF) and acute kidney injury (AKI) after elective cardiac surgery with cardiopulmonary bypass. Materials and methods. This was a retrospective cohort study. The predictive value of nomogram M for multiple organ failure and acute kidney injury after elective cardiac surgery with cardiopulmonary bypass was evaluated using ROC-analysis. Results. The sample size was 158 patients. The incidence of AKI was 5.7% (9 of 158 patients). The incidence of MOF was 3.8% (6 of 158 patients). AUC nomogram M for AKI was 0.714 [95% CI: 0.555–0.874] (p=0.031); the cut-off value was 12,5 points; the sensitivity was 66.67% and specificity was 82.55%; the odds ratio was 9.46 (95% CI: 2.22–40.30) (p<0.001). AUC nomogram M for MOF was 0.770 [95% CI: 0.594–0.946] (p=0.025); the cut-off value was 12,5 points; the sensitivity was 83.33% and specificity was 82.24%; the odds ratio was 23.15 (95% CI: 2.60–206.20) (p<0.001). Conclusion. Nomogram M has an acceptable predictive value for multiple organ failure and acute kidney injury after elective cardiac surgery with cardiopulmonary bypass based on the results of the ROC-analysis.\",\"PeriodicalId\":344630,\"journal\":{\"name\":\"Medical Bulletin of the Main Military Clinical Hospital named after N.N. Burdenko\",\"volume\":\"165 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medical Bulletin of the Main Military Clinical Hospital named after N.N. Burdenko\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53652/2782-1730-2022-3-3-30-37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Bulletin of the Main Military Clinical Hospital named after N.N. Burdenko","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53652/2782-1730-2022-3-3-30-37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nomogram M validity assessment for predicting multiple organ failure and acute kidney injury after elective cardiac surgery with cardiopulmonary bypass
Purpose. To evaluate the predictive value of nomogram M for multiple organ failure (MOF) and acute kidney injury (AKI) after elective cardiac surgery with cardiopulmonary bypass. Materials and methods. This was a retrospective cohort study. The predictive value of nomogram M for multiple organ failure and acute kidney injury after elective cardiac surgery with cardiopulmonary bypass was evaluated using ROC-analysis. Results. The sample size was 158 patients. The incidence of AKI was 5.7% (9 of 158 patients). The incidence of MOF was 3.8% (6 of 158 patients). AUC nomogram M for AKI was 0.714 [95% CI: 0.555–0.874] (p=0.031); the cut-off value was 12,5 points; the sensitivity was 66.67% and specificity was 82.55%; the odds ratio was 9.46 (95% CI: 2.22–40.30) (p<0.001). AUC nomogram M for MOF was 0.770 [95% CI: 0.594–0.946] (p=0.025); the cut-off value was 12,5 points; the sensitivity was 83.33% and specificity was 82.24%; the odds ratio was 23.15 (95% CI: 2.60–206.20) (p<0.001). Conclusion. Nomogram M has an acceptable predictive value for multiple organ failure and acute kidney injury after elective cardiac surgery with cardiopulmonary bypass based on the results of the ROC-analysis.