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. 2021 Feb 9;16(2):e0246332. doi: 10.1371/journal.pone.0246332

5th generation vs 4th generation troponin T in predicting major adverse cardiovascular events and all-cause mortality in patients hospitalized for non-cardiac indications: A cohort study

Vedant Gupta 1,¤,*, Marc Paranzino 1, Talal Alnabelsi 1, Karam Ayoub 1, Joshua Eason 1, Andin Mullis 1, John R Kotter 1, Andrew Parks 2, Levi May 2, Sethabhisha Nerusu 3, Chen Dai 3, Daniel Cleland 3, Steve Wah Leung 1, Vincent Leigh Sorrell 1
Editor: Giulia Bivona4
PMCID: PMC7872231  PMID: 33561174

Abstract

Objective

The frequency and implications of an elevated cardiac troponin (4th or 5th generation TnT) in patients outside of the emergency department or presenting with non-cardiac conditions is unclear.

Methods

Consecutive patients aged 18 years or older admitted for a primary non-cardiac condition who had the 4th generation TnT drawn had the 5th generation TnT run on the residual blood sample. Primary and secondary outcomes were all-cause mortality (ACM) and major adverse cardiovascular events (MACE) respectively at 1 year.

Results

918 patients were included (mean age 59.8 years, 55% male) in the cohort. 69% had elevated 5th generation TnT while 46% had elevated 4th generation TnT. 5th generation TnT was more sensitive and less specific than 4th generation TnT in predicting both ACM and MACE. The sensitivities for the 5th generation TnT assay were 85% for ACM and 90% for MACE rates, compared to 65% and 70% respectively for the 4th generation assay. 5th generation TnT positive patients that were missed by 4th generation TnT had a higher risk of ACM (27.5%) than patients with both assays negative (27.5% vs 11.1%, p<0.001), but lower than patients who had both assay positive (42.1%). MACE rates were not better stratified using the 5th generation TnT assay.

Conclusions

In patients admitted for a non-cardiac condition, 5th generation TnT is more sensitive although less specific in predicting MACE and ACM. 5th generation TnT identifies an intermediate risk group for ACM previously missed with the 4th generation assay.

Introduction

Cardiac troponin is the recommended biomarker for the diagnosis of acute coronary syndrome (ACS), and its role in the rapid detection of ACS is well established [1, 2]. The transition from contemporary sensitivity to the high-sensitivity cardiac troponin has increased the ability to reliably rule out patients for suspected ACS at the expense of specificity [25]. Consequently, a large patient population has been identified with increased troponin values above the 99th percentile who do not meet the 4th Universal Definition of Acute Myocardial Infarction [1]. Recent studies showed worse cardiovascular outcomes in undifferentiated emergency department (ED) patients with elevated high sensitivity troponin values and both contemporary sensitivity and high sensitivity troponin values are associated with outcomes in the ED chest pain patients [6, 7]. More recent studies have tried to assess the implications of type 2 myocardial infarction, acute myocardial injury and chronic myocardial injury, but these are often limited to patients with biomarkers drawn in the ED and include patients presenting with a primary cardiac complaint (albeit non-ACS) [810]. However, considerably less is known regarding the implication of increased troponin in patients hospitalized for non-ACS conditions.

In a related note, cardiovascular risk is elevated in many non-cardiac conditions and troponin is known to be associated with all-cause mortality (ACM) in these non-ACS clinical populations [1114]. A recent, large retrospective trial demonstrated that elevation in troponin is associated with increased major adverse events in the absence of coronary artery disease, clinical heart failure or renal dysfunction [12]. To date, no studies have directly compared contemporary and high sensitivity troponin values in hospitalized patients with a non-ACS presentation. Many guideline documents recommend the routine assessment of troponin for non-ACS presentation despite incompletely established risk associations and with a limited understanding of the downstream implications [1517]. This study aims to assess the predictive nature of cardiac troponin while comparing different generations of troponin T assays.

Methods

Study population

This study included patients 18 years of age and older admitted to our quaternary care center (University of Kentucky Medical Center) for a primary non-cardiac condition who had a contemporary sensitivity troponin assay ordered between January 2017 to October 2017. The clinical laboratory identified patients based on the contemporary troponin assay being run from all locations excluding our cardiovascular care units (CCU), primary cardiovascular floors, Children’s Hospital, floors that housed adolescent or pediatric patients, and emergency department. All patients had study procedures run on residual blood samples within 30 minutes after it was deemed that there was no additional clinical need for the sample. All charts were subsequently reviewed for appropriateness of inclusion. Patients were excluded from the final analysis if they were admitted to a primary cardiovascular service despite being on a traditionally non-cardiac service, presented with a primary cardiac complaint (chest pain or equivalent, heart failure exacerbation, or arrhythmia) even if on a non-cardiac service, or presenting within 7 days of a primary PCI or 30 days from an electrophysiologic or cardiothoracic procedure.

The study was designed to be a matched comparison allowing for each study participant to serve as their own control as they had both the high sensitivity and contemporary sensitivity assay run. The comparison was to the predictive ability of each assay in predicting all-cause mortality and CV events. Given there was no difference in event rates between the control and study arm, a traditional sample size calculation was deferred. However, based on a previous study of septic patients done at our institution, we anticipated a 30% all-cause mortality rate and a 7% major adverse cardiovascular event rate in our study population with 3000 samples requested (3 samples per participant and 1000 participants included in the study) [18].

The Institutional Review Board (IRB) approved the protocol and waived need for informed consent given no patient contact was made by study personnel and the blood sample used for study procedures was residual blood that would have otherwise been discarded. Roche Diagnostics provided the reagents prior to approval of the high sensitivity troponin assay by the Food and Drug Administration as a part of an Investigator Initiated Research Agreeement.

Study procedures

All patients having a clinically indicated 4th generation Elecsys Troponin T immunoassay (Roche Diagnostics, Germany) drawn reflexively had the 5th generation Elecsys Troponin T immunoassay (Roche Diagnostics, Germany) run on the residual blood sample. Local validation and precision studies were done for both assays to identify 99th percentile cutoffs. For the 5th generation troponin T assay (5th generation TnT), gender specific cutoffs were used as per the recommendations from Roche. Gender specific cutoffs were determined by running assays on 300 healthy male and 300 healthy female volunteers. The 99th percentile from this normative data set was identified, and then compared to those reported in the literature. Abnormal values for the 5th generation TnT assay were >13 ng/L for females and >18 ng/L for males. Abnormal values for the 4th generation troponin T assay (4th generation TnT) were ≥0.01 ng/mL. Troponins were deemed elevated if the peak value based on the assay specific cutoffs were seen at any point in the hospitalization (not just index troponin). Given it was a new assay not yet approved by the Food and Drug Administration, the 5th generation TnT was not reported out clinically.

All clinical charts included were extensively reviewed to identify reason for admission, clinical symptom or indication for troponin being drawn, ECG findings, clinical risk factors, and additional cardiovascular testing results. ECG findings were reported based on the clinical read of a board-certified cardiologist at the time care. A random sample of 100 charts were de-identified and reviewed by a board-certified cardiologist (VG) to ensure consistency and accuracy of documentation.

Outcomes

The primary outcome for this study was all-cause mortality (ACM) at 1 year. The secondary outcome was major adverse cardiovascular events (MACE) at 1 year. MACE included cardiovascular death, acute myocardial infarction (MI) or revascularization (PCI or CABG). Cardiovascular death was defined as fatal ventricular arrhythmia or cardiogenic shock as a primary or significant secondary contributor (defined as mixed shock requiring inotropes and either significant LV dysfunction or low mixed venous oxygen saturation). MI was defined using the 4th Universal Definition of Myocardial Infarction [1]. All outcomes were identified through review of the electronic health record. To minimize missing data, the Kentucky Health Information Exchange was also accessed for potential admissions or testing at other participating hospitals. The Kentucky Health Information Exchange is a consortium of over 1500 medical centers, independent providers and pharmacies within the state to optimize data sharing. All major cardiovascular events, including CV death were adjudicated by 2 board certified cardiologist who were blinded to their 5th generation TnT levels (JK and VG).

After directly comparing 4th generation versus 5th generation TnT, the cohort was then divided into three groups: Group 1 was concordant negative (both 4th vs 5th generation TnT negative), Group 2 was discordant (4th generation TnT negative, 5th generation TnT positive), and Group 3 was concordant positive (both 4th and 5th generation TnT positive). This was to identify the additive impact of the transition from the 4th generation to the 5th generation assay in predicting ACM and MACE at 1 year. No patients had a positive 4th generation TnT and a negative 5th generation TnT.

Statistical analysis

All categorical variables were reported in percentages and all continuous variables are reported in means and standard deviations for normally distributed variables and medians and interquartile ranges for non-normally distributed variables. Sensitivities, specificities and accuracies were calculated for the 5th generation TnT assay and the 4th generation TnT assay for ACM and MACE at 1 year. Then, receiver operator curves were generated for each test. Finally, the ACM and MACE rates in the prespecified groups (concordant negative, discordant, and concordant positive groups) were compared using Chi square analysis. SPSS v26 (IBM, Texas, USA) was used for all analysis. A p value of <0.05 was used to assess statistical significance.

Results

Study population

A total of 927 were prospectively screened as having a 4th generation TnT ordered from the inpatient, non-cardiovascular units. Nine patients were excluded due to a primary cardiovascular reason for admission or admission to a cardiology service. No patients were excluded for a recent cardiovascular procedure. A total of 918 patients were included in the final analysis (S1 Fig). The mean age of the study population was 59.8 years with 45% female. This population was noted to have significant cardiovascular risk factors, including hypertension (72%), hyperlipidemia (52%), diabetes (24%), and known coronary artery disease (28%). Full baseline demographic data is available in Table 1.

Table 1. Baseline demographics.

Frequency (N = 918) Percent
Age, yrs. 59.8 +/- 15.6 years
Male 506 55.1%
Female 412 44.9%
BMI 29.4 +/- 8.3
Tobacco
 Never smoker 345 37.6%
 Former smoker 223 24.3%
 Current smoker 290 31.6%
 Smoking status not known 60 6.5%
Previous Medical Conditions
 Hypertension 658 71.7%
 Hyperlipidemia 479 52.2%
 Diabetes 340 37.0%
 Coronary Artery Disease 254 27.7%
 Cerebrovascular Disease 224 24.4%
 Chronic Kidney Disease 214 23.3%
 Peripheral Artery Disease 58 6.3%

Patients primary reason for admission was also documented based on what was known at the time of the troponin draw. Of the 918 patients included, the most common reason for admission was acute respiratory failure (23.3%), acute or chronic stroke (23.3%), sepsis (22.2%), hematology/oncology related illness (9.9%), trauma (7.6%), gastrointestinal bleeding (6.0%), and pneumonia (5.7%). A non-cardiovascular operation was performed in 15.4% of patients during that hospitalization prior to the troponin being drawn. Many patients had multiple reasons for admission. Full breakdown of reason for admission is seen in Fig 1.

Fig 1. Reason for index hospitalization.

Fig 1

Clinical symptom triggering workup and ECG results

Clinical symptoms and indications that prompted ordering of the 4th generation TnT assay was assessed (Table 2). Of the 918 patients, 43.9% had no reported cardiovascular symptoms that triggered troponin collection. Of the remaining patients, 17.8% reported dyspnea while 17.7% patients experienced preceding chest pain triggering ordering of troponin. Other cardiovascular symptoms included hypotension (9.1%), arrythmia (5.8%) or rhythm change (5.3%). There were also 75 patients (8.2%) who reported non-cardiac symptoms at the time of troponin collection. No discrete symptoms were documented in over 43% of patients, most commonly as a part of a routine order set for stroke patients in concordance with guideline documents [17].

Table 2. Symptoms/indications for troponin and ECG findings.

Symptoms triggering ordering of troponin
 Shortness of air 163 17.8%
 Chest Pain 162 17.6%
 Hypotension 83 9.0%
 Arrythmia 53 5.8%
 Rhythm Change 51 5.6%
 Other 75 8.2%
 No discrete symptoms documented 403 43.9%
Electrocardiogram Obtained 853 92.9%
Electrocardiogram Results
 No ST deviation 374 43.8%
 Non-Specific ST/T Wave Abnormality 333 39.0%
 T-wave Inversion 14 1.6%
 ST Elevation 13 1.5%
 ST Depression 4 0.5%
 Conduction Abnormality 159 18.6%
 Other 173 20.3%

ECGs were ordered in 93% of patients in whom a troponin was drawn. Over 50% of the patients did not have any appreciable ECG abnormalities. Approximately 40% of patients had non-specific ST/T wave abnormalities, and <10% had >1 mm ST depression or elevation on their ECG.

Outcomes

Median peak 5th generation TnT values were 34 ng/L (IQR of 13–98 ng/L) while the median peak 4th generation TnT values were 0.01 ng/mL (IQR of 0.01–0.071 ng/mL). Using the aforementioned cutoffs for normal values, 69% (n = 635) of the study population had elevated 5th generation TnT levels while 46% (n = 420) of the study population had elevated 4th generation TnT levels. Correlation between the 5th generation and 4th generation TnT results focusing on the lower levels are shown in S2 Fig.

The 5th generation TnT assay was more sensitive, but less specific for predicting ACM and MACE than the 4th generation TnT assay. The sensitivities for the 5th generation TnT assay were 85% for ACM and 90% for MACE rates, compared to 65% and 70% respectively for the 4th generation assay. The specificities for the 5th generation TnT assay were 45% for ACM and 35% for MACE rates, compared to 55% and 60% respectively for the 4th generation TnT assay (S1 and S2 Tables). There was no difference in overall accuracy (Fig 2).

Fig 2.

Fig 2

ROC curves for 4th generation troponin T and 5th generation troponin T for all-cause mortality (A) and MACE (B). ROC curves for both troponin assays with no significant difference in the areas under the curve (AUC) both for all-cause mortality and MACE (p values >0.05).

To classify, 286 patients were concordant negative (4th generation TnT -/5th generation TnT -), 215 patients were discordant (4th generation TnT -/5th generation TnT +), and 420 patients were concordant positive (4th generation TnT +/5th generation TnT +). ACM and MACE for the concordant negative was noted to be 11.1% and 1.0% respectively. Compared to the concordant negative patients, the discordant patients had higher ACM rates at 27.5% (p < 0.001) with no significant increase in MACE rates at 1.7% (p = 0.48). Finally, the concordant positive patients had the highest rates of ACM at 42.1% (p < 0.001) and MACE rates at 5.9% (p < 0.0001) (Fig 3). MACE rates were distributed amongst all the different reasons for admission with no statistically significant difference between the different categories (S3 Fig).

Fig 3. All-cause mortality and MACE rates based stratified based on 4th generation troponin T and 5th generation troponin T status.

Fig 3

*P-value <0.05 compared to 4th generation—/ 5th generation–for all-cause mortality. &P-value <0.05 compared to 4th generation—/ 5th generation–for MACE.

Discussion

The primary findings highlighted by this investigation include the following: 1) cardiovascular risk is elevated compared to general populations, but not as high as amongst those with primary cardiovascular conditions reported in the literature; 2) 5th generation TnT assays are more sensitive and identify a previously unidentified cohort of patients at risk for ACM but not for MACE; and 3) cardiac troponin alone (either 4th generation or 5th generation TnT) are likely not adequate as a diagnostic tool in isolation, but need to be integrated into a more comprehensive risk stratification schema.

The introduction of higher sensitivity troponin assays has largely focused on subgroups routinely assessed in the emergency department, either as those with suspected ACS or other non-differentiated patients. However, troponin is routinely assessed in the hospitalized patients for various reasons, including as a part of routine order sets, non-specific symptoms, or a decompensating patient. In addition, there are more studies regularly that have emphasized cardiovascular risk in these non-ACS hospitalized patients [1012]. Understanding the connection (and therefore the interpretation) between cardiac biomarkers and cardiovascular risk is essential in these hospitalized patients, especially given that >2/3rd of hospitalized patients in this cohort have elevated 5th generation TnT values, an absolute increase in 20–25% compared to the 4th generation TnT.

Cardiovascular risk has recently been assessed broadly and with variable reported risk amongst hospitalized patients [1719]. This wide variation is often related to definitions and methodology used. Coded data often overestimates the risk of cardiovascular events, and often will yield complication rates as high as 25% at 1 year [20, 21]. Our study was extremely stringent in outcome assessment, excluding all patients who were identified as having an ACS during their initial presentation, adhering to the 4th Universal Definition of Myocardial Infarction and requiring agreement between 2 cardiologists for cardiovascular outcomes [1]. With these more stringent criteria, the MACE rate was higher at 1 year than a non-hospitalized cohort, but significantly lower than some previous reported cohorts [68, 11, 13, 14, 19, 20]. Accurately identifying cardiac risk is essential, as it not only influences pre-test probability for subsequent patients, but also influences over-interpretation of diagnostic testing that was never studied for this clinical scenario. Given the rates of positive cardiac troponins, a better understanding of cardiovascular risk and the interpretation of troponin is essential to minimizing inappropriate downstream testing and procedures.

The transition from the 4th generation TnT to the 5th generation TnT has led to an increase in sensitivity at the expense of specificity for both ACM and MACE at 1 year. While not surprising, this shift allows for 2 primary clinical benefits. First, the sensitivity/specificity profile of the 4th generation TnT is difficult to apply clinically, while the improved sensitivity of the 5th generation TnT, one may be considerably less concerned about future MACE in the biomarker negative patient. The decreased specificity does not help in the interpretation of a positive 5th generation TnT (which represents a majority of the patients), but it makes at least one potential result actionable given the improved sensitivity. Second, the 5th generation TnT identifies a cohort of patients at risk for ACM that was previously missed. Amongst those that were 5th generation TnT positive and 4th generation TnT negative (the previously missed cohort), mortality rate was ~25–30% at 1 year, which is lower than the concordantly positive patients, but higher than the concordantly negative patients. This relationship does not hold for identification of MACE. While improving the overall sensitivity, the rates of MACE in the discordant troponin patients were similar to concordantly negative troponin patients, and significantly less than the concordantly positive troponin patients. Given lower than expected MACE and higher sensitivity, the role of the 5th generation TnT is largely in ruling out those at risk for MACE, but of limited value in the positive test in isolation. Furthermore, the 5th generation TnT may be of added prognostic value for predicting ACM, similar to previous studies, more so than the 4th generation TnT.

However, the limitation in specificity with the 5th generation TnT affects the overall area under a receiver operator curve, making it comparable to the 4th generation in overall accuracy. For both assays, troponin interpretation in isolation is limited in the hospitalized, non-ACS patient population. Previous studies have tried to assess for acute myocardial injury versus acute myocardial infarction in non-ACS presentations, but often were primarily in ED patients that included primary admissions for heart failure and arrhythmias and included a more liberal diagnostic criteria for outcomes (usually ICD codes). In addition to overestimating disease burden, there may also be added issues with introducing bias by identifying a more heterogeneous cohort of both primary cardiac and non-cardiac patients. Given the lower than expected MACE rates, subgroup analysis looking at different classifications would be intrinsically underpowered. This suggests the need for additional strategies for the assessment of cardiovascular risk in hospitalized patients. Ongoing research should help to provide some guidance, whether it be different cutoffs for cardiac troponin, other biomarkers or imaging modalities to help identify a subgroup at risk for MACE [18, 2227].

Conclusions

All-cause mortality and cardiovascular risk are elevated in patients hospitalized for non-cardiac presentations compared to the general population. 5th generation TnT is more sensitive, and less specific in predicting both ACM and MACE with limited overall accuracy for predicting both outcomes. However, the 5th generation TnT appears to have an incremental value in identifying an intermediate risk group for all-cause mortality that was previously missed with the 4th generation TnT assay. The 5th generation TnT should be leveraged as another marker of end-organ involvement from a systemic illness, and not necessarily equivalent to or an adequate predictor of major adverse cardiovascular events in isolation. Additional tools need to be identified to use with clinical risk factors and cardiac biomarkers to identify those truly at risk for MACE.

Supporting information

S1 Fig. Patient selection flow chart (STROBE Diagram).

(TIF)

S2 Fig. Correlation at lower levels between the 4th generation Troponin T assay and the 5th generation Troponin T assay on the same blood samples.

Per sample correlation between 4th and 5th generation Troponin T assays. No patients had a sample that was positive on the 4th generation Troponin T assay but was negative on the 5th generation troponin T assay.

(TIF)

S3 Fig. All-Cause Mortality (ACM) and MACE rates based on reason for admission.

ACM and MACE rates by reason for admission. No statistical analysis was run due to low event rates.

(TIF)

S1 Table. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy of 4th and 5th generation troponin T in predicting all-cause mortality.

(DOCX)

S2 Table. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy of 4th and 5th generation troponin T in predicting MACE.

(DOCX)

S1 Dataset

(XLSX)

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

The project described was supported by the University of Kentucky Center for Health Services Research Data, Analytics, and Statistical Core. Roche Diagnostics provided the reagents for the 5th generation Troponin T free of cost. No additional renumeration was provided. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Giulia Bivona

27 Nov 2020

PONE-D-20-35226

5th generation vs 4th generation troponin T in predicting major adverse cardiovascular events and all-cause mortality in patients hospitalized for non-cardiac indications: a cohort study

PLOS ONE

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Academic Editor

PLOS ONE

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Reviewers' comments:

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Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: This is a well-written, well-organized and well-illustrated paper. It presents the results of original research and makes a valuable contribution to knowledge and understanding of cardiac biomarkers. In particular, authors compare 5th generation versus 4th generation troponin T in predicting major adverse cardiovascular events and all-cause mortality in patients hospitalized for non-cardiac indications. They found that 5th generation TnT is more sensitive and less specific in predicting both all-cause mortality and major adverse cardiovascular.

I have just a few small comments on the text, which the authors may wish to address:

• I recommend avoiding the use of the abbreviation the first time it was used in the text. After you define an abbreviation (regardless of whether it is in parentheses), use only the abbreviation. Do not alternate between spelling out the term and abbreviating it.

• I suggest to text-align

• According to submission guidelines, do not use non-standard abbreviations unless they appear at least three times in the text.

• I suggest to remove the comma before to cite reference in the text.

• References should be formatted as indicated by the guidelines (i.e. Hou WR, Hou YL, Wu GF, Song Y, Su XL, Sun B, et al. cDNA, genomic sequence cloning and overexpression of ribosomal protein gene L9 (rpL9) of the giant panda (Ailuropoda melanoleuca). Genet Mol Res. 2011;10: 1576-1588).

Finally, a note on the completeness of the bibliography; in order to improve the bibliography I suggest completing the list of references with the following excellent articles: PMID: 28262193, PMID: 21288172, PMID: 19732763.

I recommend publication of this work immediately in PlosOne following consideration of the minor points above.

Reviewer #2: The manuscript is very interesting and well-written. However, I have some minor suggestions to improve its quality.

In the introduction, in the first sentence I suggest to replace preferred with recommended by guidelines.

The main limitation is that the paper does not report seminal studies in this field. Please, consider citing the following: PMID: 29698621, PMID: 31223265, PMID: 29180917

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

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Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

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PLoS One. 2021 Feb 9;16(2):e0246332. doi: 10.1371/journal.pone.0246332.r002

Author response to Decision Letter 0


12 Jan 2021

Response to Reviewers

Editor Comments

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

Thank you for providing these, and our apologies for not doing this initially. We have modified the Title page and text to conform to these guidelines.

2. In your Methods section, please provide additional information about the participant recruitment method and the demographic details of your participants. Please ensure you have provided sufficient details to replicate the analyses such as descriptions of where participants were recruited and where the research took place (location/hospital/site).

Thank you for your recommendation. We have added some details in the first paragraph of the Methods section (under Study Population) specifically to allow for more reproducibility.

3. Please provide a sample size and power calculation in the Methods, or discuss the reasons for not performing one before study initiation.

Given the study design, where each participant served as their own control and was included in both the study arm (5th generation TnT) and the control arm (4th generation TnT), there was not a traditional sample size calculation undertaken as the event rate would be the same in both arms. However, based rates of all-cause mortality and major adverse cardiovascular event rates on previous studies done at our institution using a similar definition of outcomes, we predicted 1000 patients would be needed to show adequate events. This has been added under the Methods section (under study population).

4. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions.

In your revised cover letter, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. Please see http://www.bmj.com/content/340/bmj.c181.long for guidelines on how to de-identify and prepare clinical data for publication. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.

There are no restrictions, and we have uploaded a data set.

Reviewer Comments

Reviewer #1: This is a well-written, well-organized and well-illustrated paper. It presents the results of original research and makes a valuable contribution to knowledge and understanding of cardiac biomarkers. In particular, authors compare 5th generation versus 4th generation troponin T in predicting major adverse cardiovascular events and all-cause mortality in patients hospitalized for non-cardiac indications. They found that 5th generation TnT is more sensitive and less specific in predicting both all-cause mortality and major adverse cardiovascular.

I have just a few small comments on the text, which the authors may wish to address:

• I recommend avoiding the use of the abbreviation the first time it was used in the text. After you define an abbreviation (regardless of whether it is in parentheses), use only the abbreviation. Do not alternate between spelling out the term and abbreviating it.

Thank you for this note. We have reviewed and minimized the use of abbreviations, and only used the abbreviations once defined.

• I suggest to text-align

We have changed the formatting to justified text align.

• According to submission guidelines, do not use non-standard abbreviations unless they appear at least three times in the text.

Thank you for pointing this out, and we agree. We have decreased the use of abbreviations only to those terms used repeatedly to simply.

• I suggest to remove the comma before to cite reference in the text.

Thank you. We have reviewed the comma before in-text citations.

• References should be formatted as indicated by the guidelines (i.e. Hou WR, Hou YL, Wu GF, Song Y, Su XL, Sun B, et al. cDNA, genomic sequence cloning and overexpression of ribosomal protein gene L9 (rpL9) of the giant panda (Ailuropoda melanoleuca). Genet Mol Res. 2011;10: 1576-1588).

We have reviewed the formatting of the references for consistency.

Finally, a note on the completeness of the bibliography; in order to improve the bibliography I suggest completing the list of references with the following excellent articles: PMID: 28262193, PMID: 21288172, PMID: 19732763.

Thank you for directing us to these articles. They have been added.

I recommend publication of this work immediately in PlosOne following consideration of the minor points above.

Reviewer #2: The manuscript is very interesting and well-written. However, I have some minor suggestions to improve its quality.

In the introduction, in the first sentence I suggest to replace preferred with recommended by guidelines.

We agree and have changed the verbiage in paragraph 1 of the introduction.

The main limitation is that the paper does not report seminal studies in this field. Please, consider citing the following: PMID: 29698621, PMID: 31223265, PMID: 29180917

Thank you for directing us to these articles. They have been added.

Attachment

Submitted filename: Response to Revisions PLOS.docx

Decision Letter 1

Giulia Bivona

19 Jan 2021

5th generation vs 4th generation troponin T in predicting major adverse cardiovascular events and all-cause mortality in patients hospitalized for non-cardiac indications: a cohort study

PONE-D-20-35226R1

Dear Dr. Vedant Gupta,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Giulia Bivona

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

Reviewer #2: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Acceptance letter

Giulia Bivona

28 Jan 2021

PONE-D-20-35226R1

5th generation vs 4th generation troponin T in predicting major adverse cardiovascular events and all-cause mortality in patients hospitalized for non-cardiac indications: a cohort study

Dear Dr. Gupta:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Giulia Bivona

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Patient selection flow chart (STROBE Diagram).

    (TIF)

    S2 Fig. Correlation at lower levels between the 4th generation Troponin T assay and the 5th generation Troponin T assay on the same blood samples.

    Per sample correlation between 4th and 5th generation Troponin T assays. No patients had a sample that was positive on the 4th generation Troponin T assay but was negative on the 5th generation troponin T assay.

    (TIF)

    S3 Fig. All-Cause Mortality (ACM) and MACE rates based on reason for admission.

    ACM and MACE rates by reason for admission. No statistical analysis was run due to low event rates.

    (TIF)

    S1 Table. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy of 4th and 5th generation troponin T in predicting all-cause mortality.

    (DOCX)

    S2 Table. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy of 4th and 5th generation troponin T in predicting MACE.

    (DOCX)

    S1 Dataset

    (XLSX)

    Attachment

    Submitted filename: Response to Revisions PLOS.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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