The prognostic value of serial troponin measurements in patients admitted for COVID-19

Comorbidities and mortality risk in COVID-19 patients with congestive heart failure: A comprehensive analysis

The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, resulting in alarming incidence and mortality rates among patients with comorbidities, including heart failure. Understanding the characteristics of heart failure and other comorbidities during the COVID-19 pandemic is crucial for effective prevention and treatment. However, the current understanding of these characteristics among different racial groups remains incomplete. In this study, we investigated a cohort of 4711 patients, classifying them into congestive heart failure (CHF) and non-CHF groups. Biomarker analysis revealed noteworthy variations in blood urea nitrogen, aspartate aminotransferase, and white blood cell levels based on the presence or absence of CHF. Stratified by three racial groups, univariate logistic regression analysis identified significant differences in multiple variables, including CHF. Subsequent univariate Cox regression and Kaplan-Meier analysis demonstrated variations in mortality factors among distinct populations, with age and comorbidity playing prominent roles. This study utilized a large-scale database to investigate the characteristics of heart failure and related variables during the COVID-19 pandemic. The findings revealed distinctive mortality risk factors among various racial groups, emphasizing the significance of customized risk assessment and management approaches for diverse populations. These findings also provide a valuable resource for the development of targeted interventions and the promotion of equitable healthcare outcomes in the context of the COVID-19 pandemic.

Impact of heart failure on COVID-19 patients: An insight from nationwide inpatient sample

BACKGROUND

Patients with COVID-19 have been reported to experience adverse cardiovascular outcomes, such as myocarditis, acute myocardial infarction, and heart failure. Among these complications, heart failure (HF) has emerged as the most common critical complication during exacerbations of COVID-19, potentially leading to increased mortality rates and poorer clinical outcomes. We aimed to investigate the in-hospital outcomes of COVID-19 patients with HF.

METHODS

We analyzed the Nationwide Inpatient Sample (NIS) dataset to select COVID-19 patients aged over 18 years who were hospitalized between January 1, 2020, and December 31, 2020, using ICD-10. Based on the presence of acute HF, the patients were divided into two cohorts. The clinical outcomes and complications were assessed at index admissions using STATA v.17."

RESULTS

1,666,960 COVID-19 patients were hospitalized in 2020, of which 156,755 (9.4%) had associated HF. COVID-19 patients with HF had a mean age of (72.38 ± 13.50) years compared to (62.3 ± 17.67) years for patients without HF. The HF patients had a higher prevalence of hypertension, hyperlipidemia, type 2 diabetes, smoking, and preexisting cardiovascular disease. Additionally, after adjusting for baseline demographics and comorbidities, COVID-19 patients with HF had higher rates of in-hospital mortality (23.86% vs. 17.63%, p<0.001), acute MI (18.83% vs. 10.91%, p<0.001), acute stroke (0.78% vs. 0.58%, p=0.004), cardiogenic shock (2.56% vs. 0.69%, p<0.001), and sudden cardiac arrest (5.54% vs. 3.41%, p<0.001) compared to those without HF.

CONCLUSION

COVID-19 patients admitted with acute HF had worse clinical outcomes, such as higher mortality, myocardial infarction, cardiogenic shock, cardiac arrest, and a higher length of stay and healthcare than patients without HF.

Predictors and Clinical Significance of Myocardial Injury in Elderly Patients Under the COVID-19 Pandemic

Background

The elderly patients are at increased high risk of myocardial injury and mortality after the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This study aims to investigate the prevalence, predictors and prognostic implications of myocardial injury in the elderly patients with SARS-CoV-2 infection.

Methods

Patients aged over 65 years were consecutively recruited between April to May, 2022. Myocardial injury was assessed using the high-sensitivity cardiac troponin T (hs-cTnT) assay. The primary endpoint was in-hospital mortality.

Results

A total of 347 patients were recruited with a median age of 81 years. 45.8% were male and 18 (5.2%) deceased before discharge. Myocardial injury (hs-cTnT over 99% upper reference limit [URL]) was detected in 202 (58.2%) of patients. Predictors of myocardial injury included age (per 5-year increase), hypertension, vaccination, creatine, and neutrophil-to-lymphocyte ratio. hs-cTnT over 3 × URL was independently correlated with in-hospital mortality (adjusted odds ratio [adOR], 13.21; 95% confidence interval [CI], 2.11-87.1; p = 0.005) in comparison to hs-cTnT > URL (adOR, 0.66; 95% CI, 0.09-5.92; p = 0.680).

Conclusion

Myocardial injury was a common phenomenon and prognostic predictor in elder patients after SARS-CoV-2 infection. Higher threshold of myocardial injury may be considered to improve risk stratification.

Serial high sensitivity troponin sampling in patients with SARS-CoV-2 infection

INTRODUCTION

Multiple studies have investigated the role of cardiac troponin (cTn) in the risk stratification of patients with COVID-19. Most of these investigations are based on cTn values at presentation and do not consider the prognostic significance of cTn changes over time. This study aimed to investigate the prognostic role of serial cTn measurements in patients hospitalized with COVID-19 with samples that were not obtained for clinical indications.

METHODS

Patients hospitalized between April 2020 and March 2021 with PCR-confirmed SARS-CoV-2 infection were evaluated. Blood samples collected for any reason were stored for subsequent analysis. If clinical high sensitivity hs-cTnT (Roche) was not measured, samples were tested separately in batches. Hs-cTnI (Abbott) was also evaluated.

RESULTS

There were 228 unique patients. There were 21 (9.2 %) deaths. No patient with a low hs-cTnT (<6 ng/L) died and 1 patient with low hs-cTnI (<5 ng/L) died. Myocardial injury was associated with higher odds of death, when defined by hs-cTnT (OR: 7.88, 95 % CI: 2.04-30.40, p = 0.003) or hs-cTnI (OR: 7.46, 95 % CI: 2.68-20.77, p < 0.001). This association remained after propensity weighting. An increasing pattern was associated with higher odds of death compared to a stable pattern for hs-cTnT (OR: 5.45, 95 % CI: 1.81-16.40, p = 0.003) and hs-cTnI (OR: 4.49, 95 % CI: 1.02-19.81, p = 0.048). Among patients with myocardial injury defined by hs-cTnT, an increasing pattern was associated with higher odds of death compared to a decreasing pattern (OR: 4.80, 95 % CI: 1.16-19.97, p = 0.031).

CONCLUSIONS

Patients hospitalized with COVID-19 with myocardial injury have higher odds of death. Serial hs-cTn testing provides additional risk stratification in these patients.

Use and Prognostic Implications of Cardiac Troponin in COVID-19

Myocardial injury is common in patients with COVID-19 and is associated with an adverse prognosis. Cardiac troponin (cTn) is used to detect myocardial injury and assist with risk stratification in this population. SARS-CoV-2 infection can play a role in the pathogenesis of acute myocardial injury due to both direct and indirect damage to the cardiovascular system. Despite the initial concerns about an increased incidence of acute myocardial infarction (MI), most cTn increases are related to chronic myocardial injury due to comorbidities and/or acute nonischemic myocardial injury. This review will discuss the latest findings on this topic.

Reshaping care in the aftermath of the pandemic. Implications for cardiology health systems

In the last two years, the COVID-19 pandemic has undeniably changed everyday life and significantly reshaped the healthcare systems. Besides the direct effect on daily care leading to significant excess mortality, several collateral damages have been observed during the pandemic. The impact of the pandemic led to staff shortages, disrupted education, worse healthcare professional well-being, and a lack of proper clinical training and research. In this review we highlight the results of these important changes and how can the healthcare systems can adapt to prevent unprecedented events in case of future catastrophes.

COVID-19 and the heart

An outbreak of coronavirus disease 2019 (COVID-19) occurred in December 2019 due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is a strain of SARS-CoV. Patients infected with the virus present a wide spectrum of manifestations ranging from mild flu-like symptoms, cough, fever and fatigue to severe lung injury, appearing as bilateral interstitial pneumonia or acute respiratory failure. Although SARS-CoV-2 infection predominantly offends the respiratory system, it has been associated with several cardiovascular complications as well. For example, patients with COVID-19 may either develop type 2 myocardial infarction due to myocardial oxygen demand and supply imbalance or acute coronary syndrome resulting from excessive inflammatory response to the primary infection. The incidence of COVID-19 related myocarditis is estimated to be accountable for an average of 7% of all COVID-19 related fatal cases, whereas heart failure (HF) may develop due to infiltration of the heart by inflammatory cells, destructive action of pro-inflammatory cytokines, micro-thrombosis and new onset or aggravated endothelial and respiratory failure. Lastly, SARS-CoV-2 can engender arrhythmias through direct myocardial damage causing acute myocarditis or through HF decompensation or secondary, through respiratory failure or severe respiratory distress syndrome. In this comprehensive review we summarize the COVID-19 related cardiovascular complications (acute coronary syndromes, myocarditis, HF, arrhythmias) and discuss the main underlying pathophysiological mechanisms.

Clinical characterization and natural history of chemotherapy-induced dilated cardiomyopathy

AIMS

Chemotherapy-induced dilated cardiomyopathy (CI-DCM) is a well-recognized phenotype of non-ischemic dilated cardiomyopathy (DCM), characterized by poor outcomes. However, a detailed comparison between idiopathic DCM (iDCM) and CI-DCM is still lacking.

METHODS AND RESULTS

All consecutive DCM patients enrolled in the Trieste Muscle Heart Disease Registry were analysed. CI-DCM and iDCM were defined according to current recommendations. The primary study outcome measure was all-mortality death and secondary outcomes were a) a composite of cardiovascular death/heart-transplantation/ventricular-assist-device implantation, and b) major ventricular arrhythmias. The study included 551 patients (499 iDCM and 52 CI-DCM). At enrolment, compared with iDCM, CI-DCM patients were older (51 ± 14 years vs. 58 ± 3 years, respectively, P < 0.001) and had a higher left ventricular ejection fraction (32% ± 9 vs. 35% ± 10, respectively, P = 0.03). Over a median follow-up of 90 months (IQR 54-140 months), CI-DCM patients had a higher incidence of all-cause mortality compared with iDCM (36.5% vs. 8.4% in CI-DCM and iDCM respectively, P < 0.001), while the incidence of major ventricular arrhythmias was higher in the iDCM group compared with CI-DCM (4% vs. 0%, in CI-DCM and iDCM respectively, P = 0.03). The risk of the composite outcome was comparable between the two groups (P = 0.91). At Cox multivariable analysis, the diagnosis of CI-DCM emerged as independently associated to primary outcome (HR 6.42, 95% C.I. 2.52-16.31, P < 0.001).

CONCLUSIONS

In a well-selected DCM cohort, patients with a chemotherapy-induced aetiology had a higher incidence of all-cause mortality compared with iDCM. Conversely, the incidence of life-threatening ventricular arrhythmic events was higher among patients with iDCM.

Cardiovascular Damage in COVID-19: What We Know Two Years Later

PURPOSE OF THE REVIEW

The Coronavirus disease 2019 (COVID-19) pandemic has profoundly influenced cardiological clinical and basic research in the past two years. In the present review, we summarize the current knowledge on myocardial involvement in COVID-19, providing an overview on the incidence, the pathogenetic mechanisms, and the clinical implications of cardiac injury in this setting.

RECENT FINDINGS

The possibility of heart involvement in patients with COVID-19 has received great attention since the beginning of the pandemic. After more than two years, several steps have been taken in understanding the mechanisms and the incidence of cardiac injury during COVID-19 infection. Similarly, studies globally have clarified the implications of co-existing heart disease and COVID-19. Severe COVID-19 infection may be complicated by myocardial injury. To date, a direct damage from the virus has not been demonstrated. The presence of myocardial injury should be systematically assessed for a prognostication purpose and for possible therapeutic implications.

Case report: mRNA COVID-19 vaccine-related acute pericarditis with evolution to myopericarditis

Background

Both acute pericarditis and myocarditis have been reported as rare complications following vaccination with the Pfizer-Biotech and Moderna mRNA COVID-19 vaccines.

Case summary

An 18-year-old man presented with clinical and electrocardiographic changes of acute pericarditis 2 days after receiving the second dose of the BNT162b2 (Pfizer–BioNTech) vaccine. His electrocardiogram also showed an incomplete right bundle branch block. Troponin T on presentation was normal (reference <14 ng/L) but subsequently increased to a peak 1080 ng/L by day 4 post vaccination. Evolving electrocardiographic changes and cardiac MRI findings were consistent with acute myopericarditis.

Discussion

This patient’s clinical course was uncomplicated, which is consistent with studies indicating that post-COVID vaccine myocarditis usually has a mild course with a low chance of arrhythmia or heart failure. Troponin elevation is a part of the diagnostic criteria for myocarditis. This case is consistent with another report demonstrating that troponin levels can be within the normal range early in the clinical course of post-COVID vaccine myopericarditis. The incomplete right bundle branch block resolved by day 4 post-vaccination and thus may have represented early myocardial involvement at presentation. Further testing and monitoring should be considered in patients who present soon after COVID-19 mRNA vaccination with pericarditis features or minor conduction delays, in order to rule out progression to myopericarditis. Identifying myocardial involvement is clinically relevant as it indicates a risk of developing arrhythmia or heart failure, as well as having implications for physical activity advice and future booster vaccination.

Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study

BACKGROUND

Several risk factors have been identified to predict worse outcomes in patients affected by SARS-CoV-2 infection. Machine learning algorithms represent a novel approach to identifying a prediction model with a good discriminatory capacity to be easily used in clinical practice. The aim of this study was to obtain a risk score for in-hospital mortality in patients with coronavirus disease infection (COVID-19) based on a limited number of features collected at hospital admission.

METHODS AND RESULTS

We studied an Italian cohort of consecutive adult Caucasian patients with laboratory-confirmed COVID-19 who were hospitalized in 13 cardiology units during Spring 2020. The Lasso procedure was used to select the most relevant covariates. The dataset was randomly divided into a training set containing 80% of the data, used for estimating the model, and a test set with the remaining 20%. A Random Forest modeled in-hospital mortality with the selected set of covariates: its accuracy was measured by means of the ROC curve, obtaining AUC, sensitivity, specificity and related 95% confidence interval (CI). This model was then compared with the one obtained by the Gradient Boosting Machine (GBM) and with logistic regression. Finally, to understand if each model has the same performance in the training and test set, the two AUCs were compared using the DeLong's test. Among 701 patients enrolled (mean age 67.2 ± 13.2 years, 69.5% male individuals), 165 (23.5%) died during a median hospitalization of 15 (IQR, 9-24) days. Variables selected by the Lasso procedure were: age, oxygen saturation, PaO2/FiO2, creatinine clearance and elevated troponin. Compared with those who survived, deceased patients were older, had a lower blood oxygenation, lower creatinine clearance levels and higher prevalence of elevated troponin (all P < 0.001). The best performance out of the samples was provided by Random Forest with an AUC of 0.78 (95% CI: 0.68-0.88) and a sensitivity of 0.88 (95% CI: 0.58-1.00). Moreover, Random Forest was the unique model that provided similar performance in sample and out of sample (DeLong test P = 0.78).

CONCLUSION

In a large COVID-19 population, we showed that a customizable machine learning-based score derived from clinical variables is feasible and effective for the prediction of in-hospital mortality.

Serial cardiac biomarkers for risk stratification of patients with COVID-19

OBJECTIVES

Several studies have demonstrated an association between elevated cardiac biomarkers and adverse outcomes in patients with COVID-19. However, the prognostic and predictive capability of a multimarker panel in a prospectively collected, diverse "all-comers" COVID-19 population has not been fully elucidated.

DESIGN & METHODS

We prospectively assessed high sensitivity cardiac troponin I (hsTnI), NT-pro B-type Natriuretic Peptide (NT-proBNP), Galectin-3 (Gal-3), and procalcitonin (PCT) in 4,282 serial samples from 358 patients admitted with symptomatic, RT-PCR confirmed SARS-CoV-2 infection. Outcomes examined were 30-day in-hospital mortality and requirement for intubation within 10 days.

RESULTS

Baseline hsTnI had the highest AUC for predicting 30-day mortality (0.81; 95% CI, 0.73-0.88), followed by NT-proBNP (0.80; 0.74-0.86), PCT (0.77; 0.70-0.84), and Gal-3 (0.68; 0.60-0.76). HsTnI < 3.5 ng/L at baseline identified patients at low risk for in-hospital mortality (NPV 95.9%, sensitivity 97.3%) and 10-day intubation (NPV 90.4%, sensitivity 88.5%). Continuous, log-2 increases in troponin concentration were associated with reduced survival (p < 0.001) on Kaplan-Meier curves and increased risk of 30-day mortality: HR 1.26 (1.16-1.37) in univariate and 1.19 (1.03-1.4) in multivariate models. Time-varying doubling of concentrations of hsTnI and Gal-3 were associated with increased risk of 30-day mortality (adjusted HR 1.21, 1.06-1.4, and 1.92, 1.40-2.6).

CONCLUSION

HsTnI, NT-proBNP, Gal-3, and PCT are elevated at baseline in patients that have worse outcomes from COVID-19. HsTnI was the only independent predictor of 30-day mortality and intubation. Time-varying, doubling in hsTnI and Gal-3 further aided in prognostication of adverse outcomes. These results support the use of hsTnI for triaging patients with COVID-19.

Characteristic Immune Dynamics in COVID-19 Patients with Cardiac Dysfunction

Background: We aimed to explore immune parameters in COVID-19 patients admitted to the intensive care unit (ICU) to identify distinctive features in patients with cardiac injury. Methods: A total of 30 COVID-19 patients >18 years admitted to the ICU were studied on days D1, D3 and D7 after admission. Cardiac function was assessed using speckle-tracking echocardiography (STE). Peripheral blood immunophenotyping, cardiac (pro-BNP; troponin) and inflammatory biomarkers were simultaneously evaluated. Results: Cardiac dysfunction (DYS) was detected by STE in 73% of patients: 40% left ventricle (LV) systolic dysfunction, 60% LV diastolic dysfunction, 37% right ventricle systolic dysfunction. High-sensitivity cardiac troponin (hs-cTn) was detectable in 43.3% of the patients with a median value of 13.00 ng/L. There were no significant differences between DYS and nDYS patients regarding mortality, organ dysfunction, cardiac (including hs-cTn) or inflammatory biomarkers. Patients with DYS showed persistently lower lymphocyte counts (median 896 [661−1837] cells/µL vs. 2141 [924−3306] cells/µL, p = 0.058), activated CD3 (median 85 [66−170] cells/µL vs. 186 [142−259] cells/µL, p = 0.047) and CD4 T cells (median 33 [28−40] cells/µL vs. 63 [48−79] cells/µL, p = 0.005), and higher effector memory T cells (TEM) at baseline (CD4%: 10.9 [6.4−19.2] vs. 5.9 [4.2−12.8], p = 0.025; CD8%: 15.7 [7.9−22.8] vs. 8.1 [7.7−13.7], p = 0.035; CD8 counts: 40 cells/µL [17−61] vs. 10 cells/µL [7−17], p = 0.011) than patients without cardiac dysfunction. Conclusion: Our study suggests an association between the immunological trait and cardiac dysfunction in severe COVID-19 patients.

Prognostic Value of Mid-Regional Proadrenomedullin Sampled at Presentation and after 72 Hours in Septic Patients Presenting to the Emergency Department: An Observational Two-Center Study

The prognostic value of mid-regional proADM (MR-proADM) in septic patients presenting to the emergency department (ED) is not well established. In this prospective observational study enrolling septic patients evaluated in two EDs, MR-proADM was measured at arrival (t0) and after 72 h (t72). MR-proADM%change was calculated as follows: (MR-proADMt72h − MR-proADMt0)/MR-proADMt0. In total, 147 patients were included in the study, including 109 with a final diagnosis of sepsis and 38 with septic shock, according to the Sepsis-3 criteria. The overall 28-day mortality (outcome) rate was 12.9%. The AUC for outcome prognostication was 0.66 (95% CI 0.51–0.80) for MR-proADMt0, 0.77 (95% CI 0.63–0.92) for MR-proADMt72 and 0.74 (95% CI 0.64–0.84) for MR-proADM%change. MR-proADMt0 ≥ 2.78 nmol/L, MR-proADMt72 ≥ 2.7 nmol/L and MR-proADM%change ≥ −15.2% showed statistically significant log-rank test results and sensitivity/specificity of 81/65%, 69/80% and 75/70% respectively. In regression analysis, MR-proADM%change was a significant outcome predictor both in univariate and multivariate analysis, after adjustment for age, SOFA and APACHEII scores, providing up to 80% of added prognostic value. In conclusion, time trends of MR-proADM may provide additional insights for patient risk stratification over single sampling. MR-proADM levels sampled both at presentation and after 72 h predicted 28-day survival in septic patients presenting to the ED.

Does Losartan reduce the severity of COVID-19 in hypertensive patients?

BACKGROUND

One of the global problems is to control the coronavirus epidemic, and the role of different medicines is still unknown to policymakers. This study was conducted to evaluate the effects of losartan on the mortality rate of COVID-19 in hypertensive patients.

METHODS

The research sample of analytical study included 1458 patients presenting to COVID-19 diagnostic centers in Yazd that were examined in the first six months of 2020. Data were analyzed using descriptive statistics as well as chi-square, Fisher's exact test, t test, and logistic regression.

RESULTS

Of 1458 subjects that were studied, 280 were hypertensive of whom 179 tested positive for SARS-CoV-2 PCR. The results showed a lower chance of death by more than 5 times in hypertensive patients who used losartan (P = 0.003). Moreover, regarding the effect of losartan on the prevention of COVID-19 in hypertensive patients, it was found that this medicine played a protective role although this relationship was not statistically significant (P = 0.86).

CONCLUSIONS

The results showed that losartan reduced the chance of mortality in hypertensive patients. It is recommended that the effect of losartan and other blood pressure medicines on COVID-19 patients be investigated in larger studies as well as laboratory investigations.

Patients hospitalised with heart failure across different waves of the COVID-19 pandemic show consistent clinical characteristics and outcomes

BACKGROUND

During the first wave of the COVID-19 pandemic, admissions for cardiovascular disease, including Heart Failure (HF), were reduced. Patients hospitalised for HF were sicker and with increased in-hospital mortality. So far, whether following waves had a different impact on HF patients is unknown.

METHODS

All consecutive patients hospitalised for acute heart failure during three different COVID-19 related national lockdowns were analysed. The lockdown periods were defined according to Government guidelines as 23/3/2020 to 4/7/2020 (First Lockdown), 4/11/2020 to 2/12/2020 (Second Lockdown) and 5/1/2021 to 28/2/2021 (Third Lockdown).

RESULTS

Overall, 184 patients hospitalised for HF were included in the study, 95 during the 1st lockdown, 30 during the 2nd lockdown and 59 during the 3rd lockdown. Across the three groups had comparable clinical characteristics, comorbidities and cardiovascular risk factors. Specialist in-hospital care was uninterrupted during the pandemic showing comparable mortality rates (p = 0.10). Although medical therapy for HF was comparable between the three lockdowns, a significantly higher proportion of patients received Angiotensin Receptor-Neprilysin Inhibitors (ARNI) in the second and third lockdowns (p < 0.001).

CONCLUSIONS

Although public health approaches changed throughout the pandemic, the clinical characteristics and outcomes of HF patients were consistent across different waves. For patients hospitalised in the subsequent waves, a more rapid optimization of medical therapy was observed during hospitalization. Particular attention should be devoted to prevent collateral cardiovascular damage during public health emergencies.

Prognostic implications of serial high-sensitivity cardiac troponin testing among patients with COVID-19: A Danish nationwide registry-based cohort study

Background

Although troponin elevation is associated with worse outcomes among patients with coronavirus disease 2019 (COVID-19), prognostic implications of serial troponin testing are lacking. We investigated the association between serial troponin measurements and adverse COVID-19 outcomes.

Methods

Using Danish registries, we identified COVID-19 patients with a high-sensitivity troponin measurement followed by a second measurement within 1–24 h. All measurements during follow-up were also utilized in subsequent time-varying analyses. We assessed all-cause mortality associated with the absence/presence of myocardial injury (≥1 troponin measurement >99th percentile upper reference limit) and absence/presence of dynamic troponin changes (>20% relative change if first measurement elevated, >50% relative change if first measurement normal).

Results

Of 346 included COVID-19 patients, 56% had myocardial injury. Overall, 20% had dynamic troponin changes. In multivariable Cox regression models, myocardial injury was associated with all-cause mortality (HR = 2.56, 95%CI = 1.46–4.51), as were dynamic troponin changes (HR = 1.66, 95%CI = 1.04–2.64). We observed a low incidence of myocardial infarction (4%) and invasive coronary procedures (4%) among patients with myocardial injury.

Conclusions

Myocardial injury and dynamic troponin changes determined using serial high-sensitivity troponin testing were associated with poor prognosis among patients with COVID-19. The risk of developing myocardial infarction requiring invasive management during COVID-19 hospitalization was low.

Myocardial injury in hospitalized COVID-19 patients: a retrospective study, systematic review, and meta-analysis

INTRODUCTION

The majority of studies evaluating the effect of myocardial injury on the survival of COVID-19 patients have been performed outside of the United States (U.S.). These studies have often utilized definitions of myocardial injury that are not guideline-based and thus, not applicable to the U.S.

PATIENT POPULATION

METHODS

The current study is a two-part investigation of the effect of myocardial injury on the clinical outcome of patients hospitalized with COVID-19. The first part is a retrospective analysis of 268 patients admitted to our healthcare system in Toledo, Ohio, U.S.; the second part is a systematic review and meta-analysis of all similar studies performed within the U.S.

RESULTS

In our retrospective analysis, patients with myocardial injury were older (mean age 73 vs. 59 years, P 0.001), more likely to have hypertension (86% vs. 67%, P 0.005), underlying cardiovascular disease (57% vs. 24%, P 0.001), and chronic kidney disease (26% vs. 10%, P 0.004). Myocardial injury was also associated with a lower likelihood of discharge to home (35% vs. 69%, P 0.001), and a higher likelihood of death (33% vs. 10%, P 0.001), acute kidney injury (74% vs. 30%, P 0.001), and circulatory shock (33% vs. 12%, P 0.001). Our meta-analysis included 12,577 patients from 8 U.S. states and 55 hospitals who were hospitalized with COVID-19, with the finding that myocardial injury was significantly associated with increased mortality (HR 2.43, CI 2.28-3.6, P 0.0005). The prevalence of myocardial injury ranged from 9.2 to 51%, with a mean prevalence of 27.2%.

CONCLUSION

Hospitalized COVID-19 patients in the U.S. have a high prevalence of myocardial injury, which was associated with poorer survival and outcomes.

A year in heart failure: an update of recent findings

Major changes have occurred in these last years in heart failure (HF) management. Landmark trials and the 2021 European Society of Cardiology guidelines for the diagnosis and treatment of HF have established four classes of drugs for treatment of HF with reduced ejection fraction: angiotensin-converting enzyme inhibitors or an angiotensin receptor-neprilysin inhibitor, beta-blockers, mineralocorticoid receptor antagonists, and sodium-glucose co-transporter 2 inhibitors, namely, dapagliflozin or empagliflozin. These drugs consistently showed benefits on mortality, HF hospitalizations, and quality of life. Correction of iron deficiency is indicated to improve symptoms and reduce HF hospitalizations. AFFIRM-AHF showed 26% reduction in total HF hospitalizations with ferric carboxymaltose vs. placebo in patients hospitalized for acute HF (P = 0.013). The guanylate cyclase activator vericiguat and the myosin activator omecamtiv mecarbil improved outcomes in randomized placebo-controlled trials, and vericiguat is now approved for clinical practice. Treatment of HF with preserved ejection fraction (HFpEF) was a major unmet clinical need until this year when the results of EMPEROR-Preserved (EMPagliflozin outcomE tRial in Patients With chrOnic HFpEF) were issued. Compared with placebo, empagliflozin reduced by 21% (hazard ratio, 0.79; 95% confidence interval, 0.69 to 0.90; P < 0.001), the primary outcome of cardiovascular death or HF hospitalization. Advances in the treatment of specific phenotypes of HF, including atrial fibrillation, valvular heart disease, cardiomyopathies, cardiac amyloidosis, and cancer-related HF, also occurred. Coronavirus disease 2019 (COVID-19) pandemic still plays a major role in HF epidemiology and management. All these aspects are highlighted in this review.

Cardiac Biomarkers in COVID-19: A Narrative Review

The diagnosis and risk stratification of coronavirus disease 2019 (COVID-19) is primarily based on discretionary use of laboratory resources. Several lines of evidence now attest that cardiovascular disease not only is a frequent complication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, but its pre-existence may increase the risk of morbidity, disability, and death in patients with COVID-19. To this end, routine assessment of biomarkers of cardiac injury (i.e., cardiac troponin I or T) and dysfunction (e.g., natriuretic peptides) has emerged as an almost essential practice in patients with moderate, severe, and critical COVID-19 illness. Therefore, this narrative review aims to provide an overview of cardiac involvement in patients with SARS-CoV-2 infection as well as the clinical background for including cardiac biomarkers within specific panels of laboratory tests for managing COVID-19 patients.

Prevalence and Prognostic Value of Myocardial Injury in the Initial Presentation of SARS-CoV-2 Infection among Older Adults

Myocardial involvement during SARS-CoV-2 infection has been reported in many prior publications. We aim to study the prevalence and the clinical implications of acute myocardial injury (MIN) during SARS-CoV-2 infection, particularly in older patients. The method includes a longitudinal observational study with all consecutive adult patients admitted to a COVID-19 unit between March-April 2020. Those aged ≥65 were considered as older adult group. MIN was defined as at least 1 high-sensitive troponin (hs-TnT) concentration above the 99th percentile upper reference limit with different sex-cutoff. Results. Among the 634 patients admitted during the period of observation, 365 (58%) had evidence of MIN, and, of them, 224 (61%) were older adults. Among older adults, MIN was associated with longer time to recovery compared to those without MIN (13 days (IQR 6-21) versus 9 days (IQR 5-17); p < 0.001, respectively. In-hospital mortality was significantly higher in older adults with MIN at admission versus those without it (71 (31%) versus 11 (12%); p < 0.001). In a logistic regression model adjusting by age, sex, severity, and Charlson Comorbidity Index, the OR for in-hospital mortality was 2.1 (95% CI: 1.02-4.42; p = 0.043) among those older adults with MIN at admission. Older adults with acute myocardial injury had greater time to clinical recovery, as well as higher odds of in-hospital mortality.

The role of antibody-based troponin detection in cardiovascular disease: A critical assessment

Cardiovascular disease has remained the world's biggest killer for 30 years. To aid in the diagnosis and prognosis of patients suffering cardiovascular-related disease accurate detection methods are essential. For over 20 years, the cardiac-specific troponins, I (cTnI) and T (cTnT), have acted as sensitive and specific biomarkers to assist in the diagnosis of various types of heart diseases. Various cardiovascular complications were commonly detected in patients with COVID-19, where cTn elevation is detectable, which suggested potential great prognostic value of cTn in COVID-19-infected patients. Detection of these biomarkers circulating in the bloodstream is generally facilitated by immunoassays employing cTnI- and/or cTnT-specific antibodies. While several anti-troponin assays are commercially available, there are still obstacles to overcome to achieve optimal troponin detection. Such obstacles include the proteolytic degradation of N and C terminals on cTnI, epitope occlusion of troponin binding-sites by the cTnI/cTnT complex, cross reactivity of antibodies with skeletal troponins or assay interference caused by human anti-species antibodies. Therefore, further research into multi-antibody based platforms, multi-epitope targeting and rigorous validation of immunoassays is required to ensure accurate measurements. Moreover, with combination and modification of various latest technical (e.g. microfluidics), antibody-based troponin detection systems can be more specific, sensitive and rapid which could be incorporated into portable biosensor systems to be used at point-of care.