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Chen R, Pang M, Yu H, Luo F, Zhang X, Su L, Li Y, Zhou S, Xu R, Gao Q, Gan D, Xu X, Nie S, Hou FF. Kidney function-specific cut-off values of high-sensitivity cardiac troponin T for the diagnosis of acute myocardial infarction. Clin Kidney J 2024; 17:sfae247. [PMID: 39246629 PMCID: PMC11377898 DOI: 10.1093/ckj/sfae247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Indexed: 09/10/2024] Open
Abstract
Background The diagnosis of acute myocardial infarction (AMI) using high-sensitivity cardiac troponin T (hs-cTnT) remains challenging in patients with kidney dysfunction. Methods In this large, multicenter cohort study, a total of 20 912 adults who underwent coronary angiography were included. Kidney function-specific cut-off values of hs-cTnT were determined to improve the specificity without sacrificing sensitivity, as compared with that using traditional cut-off value (14 ng/L) in the normal kidney function group. The diagnostic accuracy of the novel cut-off values was validated in an independent validation cohort. Results In the derivation cohort (n = 12 900), 3247 patients had an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2. Even in the absence of AMI, 50.2% of participants with eGFR <60 mL/min/1.73 m2 had a hs-cTnT concentration ≥14 ng/L. Using 14 ng/L as the threshold of hs-cTnT for diagnosing AMI led to a significantly reduced specificity and positive predictive value in patients with kidney dysfunction, as compared with that in patients with normal kidney function. The kidney function-specific cut-off values were determined as 14, 18 and 48 ng/L for patients with eGFR >60, 60-30 and <30 mL/min/1.73 m2, respectively. Using the novel cut-off values, the specificities for diagnosing AMI in participants with different levels of kidney dysfunction were remarkably improved (from 9.1%-52.7% to 52.8-63.0%), without compromising sensitivity (96.6%-97.9%). Similar improvement of diagnostic accuracy was observed in the validation cohort (n = 8012). Conclusions The kidney function-specific cut-off values of hs-cTnT may help clinicians to accurately diagnose AMI in patients with kidney dysfunction and avoid the potential overtreatment in practice.
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Affiliation(s)
- Ruixuan Chen
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Mingzhen Pang
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hongxue Yu
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Fan Luo
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaodong Zhang
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Licong Su
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yanqin Li
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shiyu Zhou
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ruqi Xu
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qi Gao
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Daojing Gan
- State Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory for Organ Failure Research, Ministry of Education of the People's Republic of China, Guangzhou, China
| | - Xin Xu
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sheng Nie
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Fan Fan Hou
- Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Knott JD, Ola O, De Michieli L, Akula A, Mehta RA, Dworak M, Crockford E, Lobo R, Slusser J, Rastas N, Karturi S, Wohlrab S, Hodge DO, Grube E, Tak T, Cagin C, Gulati R, Sandoval Y, Jaffe AS. Diagnosis of acute myocardial infarction in patients with renal failure using high-sensitivity cardiac troponin T. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2024; 13:546-558. [PMID: 38954535 DOI: 10.1093/ehjacc/zuae079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 07/04/2024]
Abstract
AIMS Diagnosing myocardial infarction (MI) in patients with chronic kidney disease (CKD) is difficult as they often have increased high-sensitivity cardiac troponin T (hs-cTnT) concentrations. METHODS AND RESULTS Observational US cohort study of emergency department patients undergoing hs-cTnT measurement. Cases with ≥1 hs-cTnT increase > 99th percentile were adjudicated following the Fourth Universal Definition of MI. Diagnostic performance of baseline and serial 2 h hs-cTnT thresholds for ruling-in acute MI was compared between those without and with CKD (estimated glomerular filtration rate < 60 mL/min/1.73 m2). The study cohort included 1992 patients, amongst whom 501 (25%) had CKD. There were 75 (15%) and 350 (70%) patients with CKD and 80 (5%) and 351 (24%) without CKD who had acute MI and myocardial injury. In CKD patients with baseline hs-cTnT thresholds of ≥52, >100, >200, or >300 ng/L, positive predictive values (PPVs) for MI were 36% (95% CI 28-45), 53% (95% CI 39-67), 73% (95% CI 50-89), and 80% (95% CI 44-98), and in those without CKD, 61% (95% CI 47-73), 69% (95% CI 49-85), 59% (95% CI 33-82), and 54% (95% CI 25-81). In CKD patients with a 2 h hs-cTnT delta of ≥10, >20, or >30 ng/L, PPVs were 66% (95% CI 51-79), 86% (95% CI 68-96), and 88% (95% CI 68-97), and in those without CKD, 64% (95% CI 50-76), 73% (95% CI 57-86), and 75% (95% CI 58-88). CONCLUSION Diagnostic performance of standard baseline and serial 2 h hs-cTnT thresholds to rule-in MI is suboptimal in CKD patients. It significantly improves when using higher baseline thresholds and delta values.
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Affiliation(s)
- Jonathan D Knott
- Department of Cardiovascular Diseases, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA
| | - Olatunde Ola
- Department of Cardiovascular Diseases, Marshall University School of Medicine, Huntington, WV, USA
| | - Laura De Michieli
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Ashok Akula
- Department of Cardiovascular Diseases, University of Arkansas for Medical Sciences, Little Rock, AK, USA
| | - Ramila A Mehta
- Department of Quantitative Health Sciences, Mayo College of Medicine, Rochester, MN, USA
| | - Marshall Dworak
- Department of Cardiovascular Diseases, Mayo Clinic Health System, La Crosse, WI, USA
| | - Erika Crockford
- Department of Family Medicine, Mayo Clinic Health System, La Crosse, WI, USA
| | - Ronstan Lobo
- Department of Cardiovascular Diseases, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA
| | - Joshua Slusser
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Nicholas Rastas
- Department of Cardiovascular Diseases, Mayo Clinic Health System, La Crosse, WI, USA
| | - Swetha Karturi
- Division of Hospital Internal Medicine, Mayo Clinic Health System, La Crosse, WI, USA
| | - Scott Wohlrab
- Department of Laboratory Medicine and Pathology, Mayo Clinic Health System, La Crosse, WI, USA
| | - David O Hodge
- Department of Quantitative Health Sciences, Mayo College of Medicine, Jacksonville, FL, USA
| | - Eric Grube
- Department of Emergency Medicine, Mayo Clinic Health System, La Crosse, WI, USA
| | - Tahir Tak
- Department of Cardiovascular Medicine, Kirk Kekorian School of Medicine at UNLV, Las Vegas, NV, USA
| | - Charles Cagin
- Department of Family Medicine, Mayo Clinic Health System, La Crosse, WI, USA
| | - Rajiv Gulati
- Department of Cardiovascular Diseases, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA
| | - Yader Sandoval
- Minneapolis Heart Institute, Abbott Northwestern Hospital, and Center for Coronary Artery Disease, Minneapolis Heart Institute Foundation, Minneapolis, MN, USA
| | - Allan S Jaffe
- Department of Cardiovascular Diseases, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
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Kontos MC, de Lemos JA, Deitelzweig SB, Diercks DB, Gore MO, Hess EP, McCarthy CP, McCord JK, Musey PI, Villines TC, Wright LJ. 2022 ACC Expert Consensus Decision Pathway on the Evaluation and Disposition of Acute Chest Pain in the Emergency Department: A Report of the American College of Cardiology Solution Set Oversight Committee. J Am Coll Cardiol 2022; 80:1925-1960. [PMID: 36241466 PMCID: PMC10691881 DOI: 10.1016/j.jacc.2022.08.750] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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4
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Denessen EJ, Heuts S, Daemen JH, van Doorn WP, Vroemen WH, Sels JW, Segers P, Van‘t Hof AW, Maessen JG, Bekers O, Van Der Horst IC, Mingels AM. High-Sensitivity Cardiac Troponin I and T Kinetics Differ following Coronary Bypass Surgery: A Systematic Review and Meta-Analysis. Clin Chem 2022; 68:1564-1575. [DOI: 10.1093/clinchem/hvac152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022]
Abstract
Abstract
Background
Cardiac troponin I and T are both used for diagnosing myocardial infarction (MI) after coronary artery bypass grafting (CABG), also known as type 5 MI (MI-5). Different MI-5 definitions have been formulated, using multiples of the 99th percentile upper reference limit (10×, 35×, or 70× URL), with or without supporting evidence. These definitions are arbitrarily chosen based on conventional assays and do not differentiate between troponin I and T. We therefore investigated the kinetics of high-sensitivity cardiac troponin I (hs-cTnI) and T (hs-cTnT) following CABG.
Methods
A systematic search was applied to MEDLINE and EMBASE databases including the search terms “coronary artery bypass grafting” AND “high-sensitivity cardiac troponin.” Studies reporting hs-cTnI or hs-cTnT on at least 2 different time points were included. Troponin concentrations were extracted and normalized to the assay-specific URL.
Results
For hs-cTnI and hs-cTnT, 17 (n = 1661 patients) and 15 studies (n = 2646 patients) were included, respectively. Preoperative hs-cTnI was 6.1× URL (95% confidence intervals: 4.9–7.2) and hs-cTnT 1.2× URL (0.9–1.4). Mean peak was reached 6–8 h postoperatively (126× URL, 99–153 and 45× URL, 29–61, respectively). Subanalysis of hs-cTnI illustrated assay-specific peak heights and kinetics, while subanalysis of surgical strategies revealed 3-fold higher hs-cTnI than hs-cTnT for on-pump CABG and 5-fold for off-pump CABG.
Conclusion
Postoperative hs-cTnI and hs-cTnT following CABG surpass most current diagnostic cutoff values. hs-cTnI was almost 3-fold higher than hs-cTnT, and appeared to be highly dependent on the assay used and surgical strategy. There is a need for assay-specific hs-cTnI and hs-cTnT cutoff values for accurate, timely identification of MI-5.
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Affiliation(s)
- Ellen J Denessen
- Central Diagnostic Laboratory, Maastricht University Medical Center+ , Maastricht , the Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , Maastricht , the Netherlands
| | - Samuel Heuts
- Department of Cardiothoracic Surgery, Maastricht University Medical Center+ , Maastricht , the Netherlands
| | - Jean H Daemen
- Department of Surgery, Division of General Thoracic Surgery, Zuyderland Medical Center , Heerlen , the Netherlands
| | - William P van Doorn
- Central Diagnostic Laboratory, Maastricht University Medical Center+ , Maastricht , the Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , Maastricht , the Netherlands
| | - Wim H Vroemen
- Central Diagnostic Laboratory, Maastricht University Medical Center+ , Maastricht , the Netherlands
| | - Jan-Willem Sels
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , Maastricht , the Netherlands
- Department of Intensive Care Medicine, Maastricht University Medical Center+ , Maastricht , the Netherlands
- Department of Cardiology, Maastricht University Medical Center+ , Maastricht , the Netherlands
| | - Patrique Segers
- Department of Cardiothoracic Surgery, Maastricht University Medical Center+ , Maastricht , the Netherlands
| | - Arnoud W Van‘t Hof
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , Maastricht , the Netherlands
- Department of Cardiology, Maastricht University Medical Center+ , Maastricht , the Netherlands
- Department of Cardiology, Zuyderland Medical Center , Heerlen , the Netherlands
| | - Jos G Maessen
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , Maastricht , the Netherlands
- Department of Cardiothoracic Surgery, Maastricht University Medical Center+ , Maastricht , the Netherlands
| | - Otto Bekers
- Central Diagnostic Laboratory, Maastricht University Medical Center+ , Maastricht , the Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , Maastricht , the Netherlands
| | - Iwan C Van Der Horst
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , Maastricht , the Netherlands
- Department of Intensive Care Medicine, Maastricht University Medical Center+ , Maastricht , the Netherlands
| | - Alma M Mingels
- Central Diagnostic Laboratory, Maastricht University Medical Center+ , Maastricht , the Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University , Maastricht , the Netherlands
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5
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Ideal high sensitivity troponin baseline cutoff for patients with renal dysfunction. Am J Emerg Med 2021; 56:322. [PMID: 34481682 DOI: 10.1016/j.ajem.2021.08.065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 08/25/2021] [Indexed: 11/23/2022] Open
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Limkakeng AT, Hertz J, Lerebours R, Kuchibhatla M, McCord J, Singer AJ, Apple FS, Peacock WF, Christenson RH, Nowak RM. Ideal high sensitivity troponin baseline cutoff for patients with renal dysfunction. Am J Emerg Med 2021; 56:323-324. [PMID: 34482998 DOI: 10.1016/j.ajem.2021.08.066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 08/25/2021] [Indexed: 11/25/2022] Open
Affiliation(s)
- Alexander T Limkakeng
- Division of Emergency Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - Julian Hertz
- Division of Emergency Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - Reginald Lerebours
- Department of Biostatistics, Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - Maragatha Kuchibhatla
- Department of Biostatistics, Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - James McCord
- Heart and Vascular Institute, Henry Ford Health System, Detroit, MI, USA.
| | - Adam J Singer
- Department of Emergency Medicine, SUNY Stony Brook, Stony Brook, NY, USA.
| | - Fred S Apple
- Department of Laboratory Medicine and Pathology, Hennepin County Medical Center and University of Minnesota Minneapolis, Minneapolis, MN, USA.
| | - William F Peacock
- Department of Emergency Medicine, Baylor College of Medicine, Houston, TX, USA
| | | | - Richard M Nowak
- Department of Emergency Medicine, Henry Ford Health System, Detroit, MI, USA.
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