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10.1111/acem.14309 http://scihub22266oqcxt.onion/10.1111/acem.14309 34133794!8441807!34133794     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Acad+Emerg+Med 2021 ; 28 (7): 761-767 Nephropedia Template TP {{tp|p=34133794|t=2021. Inter-rater reliability and prospective validation of a clinical prediction rule for SARS-CoV-2 infection |pdf=|usr=}}{{34133794}} gab.com Text Inter-rater reliability and prospective validation of a clinical prediction rule for SARS-CoV-2 infection JO: Acad Emerg Med http://www.kidney.de/pget.php?&tw=1&pmid=34133794 #FOAvip OBJECTIVES: Accurate estimation of the risk of SARS-CoV-2 infection based on bedside data alone has importance to emergency department (ED) operations and throughput. The 13-item CORC (COVID [or coronavirus] Rule-out Criteria) rule had good overall diagnostic accuracy in retrospective derivation and validation. The objective of this study was to prospectively test the inter-rater reliability and diagnostic accuracy of the CORC score and rule (score </= 0 negative, > 0 positive) and compare the CORC rule performance with physician gestalt. METHODS: This noninterventional study was conducted at an urban academic ED from February 2021 to March 2021. Two practitioners were approached by research coordinators and asked to independently complete a form capturing the CORC criteria for their shared patient and their gestalt binary prediction of the SARS-CoV-2 test result and confidence (0%-100%). The criterion standard for SARS-CoV-2 was from reverse transcriptase polymerase chain reaction performed on a nasopharyngeal swab. The primary analysis was from weighted Cohen's kappa and likelihood ratios (LRs). RESULTS: For 928 patients, agreement between observers was good for the total CORC score, kappa = 0.613 (95% confidence interval [CI] = 0.579-0.646), and for the CORC rule, kappa = 0.644 (95% CI = 0.591-0.697). The agreement for clinician gestalt binary determination of SARs-CoV-2 status was kappa = 0.534 (95% CI = 0.437-0.632) with median confidence of 76% (first-third quartile = 66-88.5). For 425 patients who had the criterion standard, a negative CORC rule (both observers scored CORC < 0), the sensitivity was 88%, and specificity was 51%, with a negative LR (LR-) of 0.24 (95% CI = 0.10-0.50). Among patients with a mean CORC score of >4, the prevalence of a positive SARS-CoV-2 test was 58% (95% CI = 28%-85%) and positive LR was 13.1 (95% CI = 4.5-37.2). Clinician gestalt demonstrated a sensitivity of 51% and specificity of 86% with a LR- of 0.57 (95% CI = 0.39-0.74). CONCLUSION: In this prospective study, the CORC score and rule demonstrated good inter-rater reliability and reproducible diagnostic accuracy for estimating the pretest probability of SARs-CoV-2 infection. Twit Text FOAVip Inter-rater reliability and prospective validation of a clinical prediction rule for SARS-CoV-2 infection ????Acad Emerg Med http://www.kidney.de/pget.php?&tw=1&pmid=34133794 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34133794 #FOAvip English Wikipedia <ref>{{Cite pmid|34133794}}</ref> Inter-rater reliability and prospective validation of a clinical prediction rule for SARS-CoV-2 infection #MMPMID34133794 Nevel AE; Kline JA Acad Emerg Med 2021[Jul]; 28 (7): 761-767 PMID34133794show ga OBJECTIVES: Accurate estimation of the risk of SARS-CoV-2 infection based on bedside data alone has importance to emergency department (ED) operations and throughput. The 13-item CORC (COVID [or coronavirus] Rule-out Criteria) rule had good overall diagnostic accuracy in retrospective derivation and validation. The objective of this study was to prospectively test the inter-rater reliability and diagnostic accuracy of the CORC score and rule (score 0 positive) and compare the CORC rule performance with physician gestalt. METHODS: This noninterventional study was conducted at an urban academic ED from February 2021 to March 2021. Two practitioners were approached by research coordinators and asked to independently complete a form capturing the CORC criteria for their shared patient and their gestalt binary prediction of the SARS-CoV-2 test result and confidence (0%-100%). The criterion standard for SARS-CoV-2 was from reverse transcriptase polymerase chain reaction performed on a nasopharyngeal swab. The primary analysis was from weighted Cohen's kappa and likelihood ratios (LRs). RESULTS: For 928 patients, agreement between observers was good for the total CORC score, kappa = 0.613 (95% confidence interval [CI] = 0.579-0.646), and for the CORC rule, kappa = 0.644 (95% CI = 0.591-0.697). The agreement for clinician gestalt binary determination of SARs-CoV-2 status was kappa = 0.534 (95% CI = 0.437-0.632) with median confidence of 76% (first-third quartile = 66-88.5). For 425 patients who had the criterion standard, a negative CORC rule (both observers scored CORC < 0), the sensitivity was 88%, and specificity was 51%, with a negative LR (LR-) of 0.24 (95% CI = 0.10-0.50). Among patients with a mean CORC score of >4, the prevalence of a positive SARS-CoV-2 test was 58% (95% CI = 28%-85%) and positive LR was 13.1 (95% CI = 4.5-37.2). Clinician gestalt demonstrated a sensitivity of 51% and specificity of 86% with a LR- of 0.57 (95% CI = 0.39-0.74). CONCLUSION: In this prospective study, the CORC score and rule demonstrated good inter-rater reliability and reproducible diagnostic accuracy for estimating the pretest probability of SARs-CoV-2 infection. |*COVID-19[MESH] |*SARS-CoV-2[MESH] |Clinical Decision Rules[MESH] |Humans[MESH] |Prospective Studies[MESH] |Reproducibility of Results[MESH]Inter-rater reliability and prospective validation of a clinical predi(epmc).pdf DeepDyve Pubget Overpricing