{"title":"Better Prediction of Clinical Outcome with Estimated Glomerular Filtration Rate by CKD-EPI 2021.","authors":"Kwang Seob Lee, Jaehyeok Jang, Hanmil Jang, Hyein Kang, John Hoon Rim, Jong-Baeck Lim","doi":"10.1093/jalm/jfae103","DOIUrl":"https://doi.org/10.1093/jalm/jfae103","url":null,"abstract":"<p><strong>Background: </strong>While the real-world impact of estimated glomerular filtration rate (eGFR) equation change on clinical outcome in a longitudinal cohort setting is limited, external valuation of equation performance should be performed in different population cohorts. This study aimed to compare differential impacts of eGFR values, calculated by 5 equations in a Korean patient population, on clinical outcomes.</p><p><strong>Methods: </strong>This retrospective longitudinal follow-up cohort study analyzed 23 246 participants with standardized creatinine/cystatin C assay-based laboratory results. The primary exposure was baseline eGFR calculated by 5 different equations including the recently developed 2021 race-free Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations. Clinical outcomes including all-cause mortality, renal replacement therapy, and albuminuria were analyzed to estimate the hazard ratio of the eGFR on clinical outcomes.</p><p><strong>Results: </strong>Among the 5 equations, CKD-EPI 2021 with creatinine and cystatin C (CKD-EPI 2021-CrCys) showed an earlier increase in hazard ratios for all clinical outcomes, while CKD-EPI 2012 with cystatin C showed a higher hazard ratio for all-cause mortality at low eGFR. Replacing CKD-EPI 2012 with CKD-EPI 2021-CrCys, 5.4% of patients with mortality and 3.3% of patients who received renal replacement therapy were reclassified to a lower risk stage.</p><p><strong>Conclusions: </strong>The 2021 CKD-EPI equations were acceptable in a Korean population, with better predictive power for clinical outcomes when compared to previous equations. The updated race-free factors for eGFR calculation improved identification of patients at risk for clinical outcomes.</p>","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clinician-Ordered Peripheral Smear Review by a Pathologist Has Low Clinical Utility-A Reference Laboratory Perspective.","authors":"Sanjai Nagendra, Jamie Mongillo, Krystin Dodge, Pratistha Ranjitkar, Betty Burns, Lavonda Allen","doi":"10.1093/jalm/jfae101","DOIUrl":"https://doi.org/10.1093/jalm/jfae101","url":null,"abstract":"<p><strong>Background: </strong>Clinician-ordered peripheral smear review by pathologist (CPSR) is commonly ordered and has been recommended for decades. However, the clinical utility of this labor-intensive test in the reference laboratory has not been examined. The objective of this study is to assess hematologic abnormalities identified in CPSR orders and to correlate them with complete blood count (CBC) and laboratory-derived smear review (LDSR) in the reference laboratory.</p><p><strong>Methods: </strong>Two hundred consecutive CPSRs with corresponding CBCs from April 2023 were run by Sysmex® XN-11 analyzers, and their peripheral smears were examined by a board-certified hematopathologist. Hematologic abnormalities of CPSRs were assessed, and the correlation between CPSR and CBC/LDSR was reviewed.</p><p><strong>Results: </strong>Nearly one-third of CPSRs (29%) had normal peripheral smears and CBCs. The majority of CPSRs showed nonspecific quantitative abnormalities. When compared against CPSR results, LDSR criteria identified 100% of hematologic abnormalities appropriately. Samples that were not flagged for review by LDSR rules were also reviewed (n = 174) to rule out clinically meaningful false negatives. One minor discrepancy (0.6% of cases) of small platelet aggregates was observed in a patient with a reported platelet count of 139 K/uL that was missed by the LDSR process.</p><p><strong>Conclusions: </strong>In the reference laboratory setting, our findings demonstrate that LDSR adequately detects significant hematologic abnormalities and, therefore, CPSR should be discontinued.</p>","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"So I Guess I Am a Device? Making the Case for Professional Practice in the Context of the FDA's Final Rule on Laboratory-Developed Tests.","authors":"Andrew Bryan, Thomas E Grys, Erin H Graf","doi":"10.1093/jalm/jfae100","DOIUrl":"https://doi.org/10.1093/jalm/jfae100","url":null,"abstract":"","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Considerations for Building a Data Science Culture for the Clinical Laboratory.","authors":"Benjamin R McFadden","doi":"10.1093/jalm/jfae093","DOIUrl":"https://doi.org/10.1093/jalm/jfae093","url":null,"abstract":"","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anne Leach, Kristin J Murphy, Mandana Godard, Matthew Schwartz, Lori J Sokoll
{"title":"Proficiency Testing Customization in Clinical Trials: How the pSMILE Project Ensures High-Quality Proficiency Testing Coverage for International Laboratories.","authors":"Anne Leach, Kristin J Murphy, Mandana Godard, Matthew Schwartz, Lori J Sokoll","doi":"10.1093/jalm/jfae050","DOIUrl":"https://doi.org/10.1093/jalm/jfae050","url":null,"abstract":"","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":"9 5","pages":"1097-1102"},"PeriodicalIF":1.8,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142120863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to: Screening for Primary Aldosteronism by Mass Spectrometry Versus Immunoassay Measurements of Aldosterone: A Prospective Within-Patient Study.","authors":"","doi":"10.1093/jalm/jfae041","DOIUrl":"10.1093/jalm/jfae041","url":null,"abstract":"","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":" ","pages":"1106"},"PeriodicalIF":1.8,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlos Castillo Pérez, Laura Rodríguez Alonso, Marta Cebrián Ballesteros, Blanca Torrubia, M J Torrejón
{"title":"Persistent Mild Increase of Human Chorionic Gonadotropin in a Male Patient with Testicular Pain.","authors":"Carlos Castillo Pérez, Laura Rodríguez Alonso, Marta Cebrián Ballesteros, Blanca Torrubia, M J Torrejón","doi":"10.1093/jalm/jfae042","DOIUrl":"10.1093/jalm/jfae042","url":null,"abstract":"","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":" ","pages":"1064-1069"},"PeriodicalIF":1.8,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141307081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jonathan J Tucci, Raeshun T Glover, Joesph R Wiencek
{"title":"A Pregnant Patient with a Positive Hepatitis C Antibody.","authors":"Jonathan J Tucci, Raeshun T Glover, Joesph R Wiencek","doi":"10.1093/jalm/jfae015","DOIUrl":"10.1093/jalm/jfae015","url":null,"abstract":"","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":" ","pages":"1084-1088"},"PeriodicalIF":1.8,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140319508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Breaking the Chain: Navigating the Pitfalls of Total Laboratory Automation.","authors":"Joe M El-Khoury","doi":"10.1093/jalm/jfae061","DOIUrl":"10.1093/jalm/jfae061","url":null,"abstract":"","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":"9 5","pages":"1095-1096"},"PeriodicalIF":1.8,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142120861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DxGoals: A Software Tool for Determining and Analyzing Clinically Meaningful Classification Accuracy Goals for Diagnostic Tests.","authors":"Ngoc-Ty Nguyen, Gene A Pennello","doi":"10.1093/jalm/jfae054","DOIUrl":"https://doi.org/10.1093/jalm/jfae054","url":null,"abstract":"<p><strong>Background: </strong>To evaluate diagnostic tests for low prevalence conditions, classification accuracy metrics such as sensitivity, specificity, and positive likelihood ratio (PLR) and negative likelihood ratio (NLR) are advantageous because they are prevalence-independent and thus estimable in studies enriched for the condition. However, classification accuracy goals are often chosen without a clear understanding of whether they are clinically meaningful. Pennello (2021) proposed a risk stratification framework for determining classification accuracy goals. A software application is needed to determine the goals and provide data analysis.</p><p><strong>Methods: </strong>We introduce DxGoals, a freely available, R-Shiny software application for determining, visualizing, and analyzing classification accuracy goals for diagnostic tests. Given prevalence p for the target condition and specification that a test's positive and negative predictive values PPVand NPV=1-cNPV should satisfy PPV>PPV* and cNPV<cNPV*, DxGoals uses Bayes Theorem to determine equivalent goals for PLR and NLR and implied goals for sensitivity and specificity. When study data are provided, DxGoals analyzes whether the determined goals are met with statistical significance. When comparing 2 tests, DxGoals translates a superiority or noninferiority goals for the differences PPV-p and p-cNPV to equivalent goals for PLR and NLR and analyzes the goals when data are provided.</p><p><strong>Results: </strong>We illustrate DxGoals on tests for penicillin allergy, ovarian cancer, and cervical cancer. The inputs cNPV*,p, and PPV* were informed by clinical management guidelines.</p><p><strong>Conclusions: </strong>DxGoals facilitates determination, visualization, and analysis of clinically meaningful standalone and comparative classification accuracy goals. It is a potentially useful tool for diagnostic test evaluation.</p>","PeriodicalId":46361,"journal":{"name":"Journal of Applied Laboratory Medicine","volume":"9 5","pages":"952-962"},"PeriodicalIF":1.8,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142120862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}