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Journal of Clinical Trials

Journal of Clinical Trials
Open Access

ISSN: 2167-0870

+44 1478 350008

Research Article - (2021)

Correlates and Short-Term Prognostic Value of Plasma N-Terminal Pro- Brain Natriuretic Peptide Levels among Heart Failure Patients; in a Wake of COVID-19 Pandemic: A Prospective Cohort Study

Mark. P. Mayala1*, Khuzeima Khanbhai2, Ponsian Peter3 and Pilly Chillo1
 
*Correspondence: Mark. P. Mayala, Department of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es salaam, Tanzania, Email:

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Abstract

Background: Studies conducted in developed countries have found measurements of plasma N-terminal pro-brain natriuretic peptide (NT-proBNP) to be important in evaluating Heart Failure (HF) prognosis; however this has not yet been studied in sub-Saharan Africa. The aim of this study was to determine clinical correlates and short-term prognostic value of plasma NT-proBNP levels among HF patients.

Methodology: This was a hospital-based prospective cohort study conducted at Jakaya Kikwete Cardiac Institute, Tanzania from June to December 2020. Patients were consecutively enrolled when they fulfilled the inclusion criteria. Clinical details and NT-proBNP levels were measured at baseline and at 30-day follow-up. Pearson's chi square test was used to associate New York Heart Association (NYHA) functional class and NT-proBNP levels, while Spearman’s correlation coefficient was used to correlate between Left Ventricular Ejection Fraction (LVEF) and NT-proBNP levels. Receiver Operating Characteristic (ROC) curves were drawn to determine the best prognostic cut off points of NT- proBNP levels for the different clinical outcomes. A P-value of <0.05 was considered statically significant.

Results: 155 HF patients were enrolled. Their mean ± SD age was 48 ± 16 years, 52.3% were male and their mean ± SD LVEF was 37.3 ± 10.7%. At baseline, the median (IQR) NT-proBNP levels was 7654 pg/ml (2289, 16000), and the levels dropped to 3383 pg/ml (731, 9785) after 1 month. Baseline plasma levels of NT-proBNP increased as the NYHA functional class worsened, (P=0.018), and with decreasing LVEF (r=-0.65, p<0.05). The ROC curve identified an overall cut-off point for poor prognosis at 18000 pg/ml with 54.4% sensitivity and 93.7% specificity (Area under the Curve (AUC): 0.8). The NT-proBNP cut-off point for mortality was 24500 pg/ml with 100% sensitivity and specificity of 92.54% (AUC: 0.958). The ROC analysis also identified levels of NT-proBNP of ≥ 7899 pg/ml to predict re-hospitalization, with 76% sensitivity and 60% specificity (AUC: 0.68), while levels ≥ 18762.1 pg/ml predicted long hospital stay with a sensitivity of 100% and specificity of 85.62% (AUC: 0.939).

Conclusion: These results demonstrate NT-proBNP is a good measure to predict readmission and mortality of HF patients and can facilitate discussions with patient prognosis and continuity of care. It can differentiate HF patients from COVID-19 patients.

Keywords

Respiratory disease; COVID-19; SARS-CoV-2; Antigen lateral flow test

Introduction

Heart Failure (HF) has currently been a major and growing public health problem, affecting almost 26 million people worldwide and there is a pressing need to improve outcomes and decrease costs. Within the past few years, a large amount of epidemiological data has indicated that HF is a common, underdiagnosed, and serious condition with a dismal prognosis, comparable with several forms of cancer.

The INTER-CHF Study in 2016, done in Sub-Saharan Africa (SSA), estimated the prevalence of HF to be 5% and increasing. This can be explained by a shift over the past several years in the cardiovascular disease profile that has been observed. This was reflected by a recent largest multicenter registry for HF in Africa. The Sub-Saharan Africa Survey of Heart Failure (THESUS-HF) study, which characterized the causes, treatment and short-term outcomes in 1006 Africans from nine SSA countries. The data from this study, highlighted hypertension as a rising cause of HF (from 23% to 43%), followed by cardiomyopathies (from 20% to 29%), rheumatic heart disease (from 22% to 17%), and ischemic heart disease (from 2% to 8%) [1-5].

In an attempt to facilitate and improve HF diagnosis, of which is clinical-based (Framingham criteria) and by echocardiographic evaluation of Left Ventricular (LV) systolic function, biochemical substances have been suggested as alternative markers. Efforts have focused on the Natriuretic Peptides (NPs), among which is Brain Natriuretic Peptide (BNP) and its amino-terminal portion N-terminal pro-Brain Natriuretic Peptide (NT-proBNP). Since HF is a chronic progressive condition, these biomarkers have as well been used to assess its prognosis. Majority of the studies that have been done, have used BNP as the biomarker though comparing techniques have shown that there is a good equivalence between both BNP and NT-proBNP methods, although NT-proBNP values in pg/ml are approximately 8-fold higher than those of BNP.

Cheng and colleagues demonstrated that patients with a significant decrease of BNP at discharge compared with admission BNP levels had better outcomes, whereas BNP levels dropped minimally during hospitalization in patients that were re-hospitalized within 30 days. Besides, Cohen Solal and colleagues demonstrated that patients with a decrease of 30% or higher BNP value from baseline, at follow-up had reduced mortality risk compared with those with little or no BNP decrease.

Although plasma NT-proBNP can be used to predict further cardiovascular events, re-hospitalization and mortality in HF patients, in Tanzania, natriuretic peptides have not been widely used, not only as a diagnostic biomarker but neither as a prognostic biomarker. In response to this problem, our study proposes to bring awareness to the medical personnel on the importance of natriuretic peptides as a prognostic tool for HF patients. We therefore examined the association between plasma NT-pro BNP levels and NYHA functional status, and its correlation with left ventricular ejection fraction, among other variables in a cohort of Tanzanian patients with HF. Furthermore, the ability of NT- proBNP to predict clinical outcomes at admission and at 1-month post discharge was assessed [6-10].

Methodology

This was a hospital-based prospective cohort study, done at Jakaya Kikwete Cardiac Institution (JKCI), Dar-es-Salaam, Tanzania. JKCI is one of a national tertiary level referral hospital basing mainly on cardiac diseases, both medical and surgical. Patients were consecutively sampled until a sample size of 155 patients was met, that included all patients diagnosed with heart failure aged 18 years and above by the attending physician and excluded patients with chronic kidney disease. It was conducted from June to December 2020. This study aimed to determine the clinical correlates and short-term prognostic value of plasma NT-proBNP levels among HF patients and specifically to associate between plasma NT-proBNP levels and NYHA functional status and also to correlate the plasma NT-proBNP levels and left ventricular ejection fraction. The primary outcome was the overall clinical progression, re-hospitalization and mortality at 1 month follow up. Ethical clearance to conduct the study was obtained from Muhimbili University of Health and Allied Sciences’ Ethical Review Board. Permission to do the study was obtained from JKCI management. Informed consent was obtained from all study participants before they were enrolled in the study. Cases eligible to participate in the study were included only after being provided with informed consent.

Data collection

Two different strategies for assessing NT-proBNP were examined: Admission levels and the percent change in NT-proBNP levels from admission to follow up. For all patients, a blood sample was taken within 12 hours of admission and this was considered as admission NT-proBNP. Follow up NT-proBNP was done at 1 month after the baseline test was taken. Other baseline laboratory results like haemoglobin level, creatinine level as well as Blood Urea Nitrogen (BUN) were obtained from patients’ files and recorded in data collection forms. Echocardiogram results were obtained from detailed echocardiogram examination done within the index admission.

Analysis

Data was entered on IBM SPSS version 26. Descriptive statistics were analyzed using frequency for categorical variables and median (IQR) and mean ± SD for numerical variables. Chi square test was used to assess between NYHA Class and NT-proBNP, and p-value of less than 0.05 was considered statistically significant. Spearman ranking correlation coefficient was used to assess relationship between LVEF and other continuous variables with NT-proBNP. Receiver Operating Characteristic’s (ROC) curve was used to determine the best cut-off points for the prognostic ability of plasma NT-proBNP for readmission, mortality, poor outcome and long hospital stay.

Results

A total of 180 patients with HF were screened for eligibility during the study period, of whom 155 (86.1%) fulfilled the inclusion criteria and were enrolled. Patient baseline demographic and clinical characteristics are reported in Table 1. The mean age of the study patients was 48 ± 16 years (range 18-81) years, and 81 (52.3%) of the patients were males. Most study patients were living in Dar es Salaam 108 (69.7%), were married 112 (72.3%) and were college graduates 71 (45.8%). Cigarette smoking and alcohol consumption was present in 19 (10.3%) and 29 (18.7%) of study patients, respectively. Hypertension was present in half of the study patients 78 (50.3%), while history of diabetes mellitus was present in 31 (20%) study patients. The mean systolic and diastolic blood pressure was 124 mmHg ± 20 mmHg and 76 mmHg ± 13 mmHg respectively. The mean BMI among study patients was 22.6 kg/m2 ± 6.3 kg/m2 . Majority of the patient studied had reduced LVEF with a mean of 37.3% ± 10.7% (Table 1).

Variable n (%)/mean (SD)
Age group (years), n (%)
≤ 25 8 (5.2)
26-35 40 (25.8)
36-45 26 (16.8)
46-60 45 (29.0)
>60 36 (23.2)
Mean (SD) age (years) 48 (16)
Males, n (%) 81 (52.3)
Residing in Dar es salaam, n (%) 108 (69.7)
Marital status n (%)
Single 30 (19.4)
Married 112 (72.3)
Divorced 9 (5.8)
Widowed 4 (2.6)
Education n (%)
No formal education 14 (9.0)
Primary 28 (18.1)
Secondary 3 (1.9)
High school 39 (25.2)
College 71 (45.8)
Taking alcohol, n (%) 29 (18.7)
Ever smoked cigarettes, n (%) 19 (10.3)
Cardiovascular risk factors, n (%)
Hypertension 78 (50.3)
Diabetes 31 (20)
Rheumatic heart disease 47 (31.6)
Arrhythmias 23 (15.5)
Mean (SD) SBP (mmHg) 124.8 (20.5)
Mean (SD) DBP (mmHg) 76.1 (13.1)
Mean (SD) BMI (kg/m2) 22.6 (6.3)
BMI category, n (%)
Normal 152 (98.1)
Underweight 23 (14.8)
Overweight 97 (62.6)
Obese 35 (22.6)
NYHA Functional Status
I 2 (1.3)
II 12 (7.7)
III 93 (60.0)
IV 48 (31.0)
Mean LVEF (%) 37.3 (10.7)

Table 1: Socio-demographic and clinical characteristics of the study patients, N=155.

Figure 1 shows patients in NYHA classes II, III and IV had high median NT-proBNP levels, while those in class I had normal levels of NT-proBNP.

clinical-trials-functional

Figure 1: NT-proBNP levels and NYHA functional status at admission.

The spearman correlation ranking test, as plotted in a scatter plot, showed a strong negative correlation between NT-proBNP levels and LVEF (r=-0.7), as the LVEF reduced, the levels of NT- proBNP increased, with a P value of <0.001, which was statistically significant (Figure 2).

clinical-trials-correlation

Figure 2: Scatter plot showing correlation between NT-proBNP levels and LVEF at admission.

The predicted cut-off point for readmission was 7,899 pg/l of NT- proBNP levels, and majority of the readmitted patients met the above cut-off point. It had a PPV and NPV of 26.76% and 92.86% respectively. The sensitivity was 76% and 60% specificity, with a P value of 0.004, which was statistically significant and an AUC of 0.681 (Figure 3).

clinical-trials-readmission

Figure 3: ROC Curve showing correlation between NT-proBNP levels and readmission.

Mortality had an estimated predicted cut-off point of 24,500.3 pg/l of NT-proBNP levels, and majority of patients above this cut-off point died. PPV and NPV of 47.37% and 100% respectively. The sensitivity was 100% and 92.54% specificity, with a P value of 0.00, which was statistically significant and an AUC of 0.958 (Figure 4).

clinical-trials-mortality

Figure 4: ROC Curve showing correlation between NT-proBNP and mortality.

Discussion

In spite of the advances of new drugs and procedures in recent years, HF patients still are at a higher risk of suffering cardiovascular events and hence being readmitted or die. Studies comparing techniques have shown that there is a good equivalence between both BNP and NT-proBNP methods, although NT-proBNP values in pg/ml are approximately 8-fold higher than those of BNP. Since there are no studies in Tanzania that have been conducted to address the use of NT-proBNP as marker of HF progression and outcome, to bring awareness, this study shows that, there is a clinical improvement of HF patients when the levels of NT-proBNP are low, and there is poor prognosis in terms of being readmitted, long hospital stay or mortality when the levels are high [11-15].

The severe symptomatology of patients with NYHA functional class III or IV patients, added to the presence of cardiogenic shock and the need for hospitalization for cardiac compensation, all identify those who will have the worst disease progression and the highest mortality risk. The present results show that NT-proBNP levels at admission has a positive association with NYHA functional status. After 1 month follow up, the levels of NT-proBNP reduced slightly in those in class II, III and IV. Patients who were in Class II, III and IV, some had a significant decrease in the levels of NT- proBNP, but not to the normal range, this could be contributed to a shorter period of follow up. Although some in these classes (II, III, and IV) still had high or even elevated levels of NT-proBNP, reasons being either due to drug adherence, anemia or infections. The high levels detected at the first measurement indicate that patients are decompensated, and the maintenance of high levels identifies which patients have a very poor prognosis. These results were similar to that reported by Shang-Chiun Lee in United States, who also found Plasma BNP correlated best with NYHA class. At follow-up, only changes of BNP correlated to changes of NYHA class. BNP decreased in subjects whose NYHA class improved whereas BNP remained unchanged in those whose NYHA class was stable. The current studies, therefore, provide new data on the potential role for plasma BNP as an objective biomarker that may help confirm and monitor the impact of therapy upon NYHA class during long-term management of HF to complement clinical judgment.

Although echocardiography is considered the gold standard for the detection of LV dysfunction, it may not always reflect an acute condition. In our study NT-proBNP levels correlated well with LVEF. LVEF can either be reduced or preserved, and in this study, it shows there is a negative correlation between NT-proBNP levels and LVEF. The majority of the patients in this study had reduced LVEF, and those with reduced LVEF had the high levels of NT-proBNP (r=-0.65, P<0.00). These finding corresponds well with those observed by Belagavi in India, where he found that the NT-proBNP values increased significantly as the functional severity of HF increased (P<0.001). Groenning and colleagues had similar observation in their study, where patients with systolic dysfunction had higher levels of NT-proBNP compared to those without systolic dysfunction.

Patients with high NT-proBNP at admission had poor prognostic outcome, in terms of clinical progression, readmissions and death. Patients with a cut-off point of 18,000 pg/l had poor clinical outcome (SS1). These patients either after discharge reported recurrence of symptoms within the 30-day period of follow up. Those with mild symptoms and NT-proBNP levels less than 7899 pg/l were not readmitted but attended clinic and their management was adjusted accordingly. Those who were readmitted, had NT- proBNP levels of above 7,899 pg/l, main reasons being infections (Chest infection being major reason) and anemia. Patients who had 24,500.3 pg/l of NT-proBNP levels and above, most of them died. 6% of patients died within the 1 month follow up period, 2 died before being discharged, 4 within 1 month and 5 after 1 month of follow up. Patients with low NT-proBNP levels at admission have shown to have good prognosis. However, even in a population of patients with the most severe form of the disease, not all of them will die; hence, the early identification of those with the worst clinical progression would allow early referrals to special treatments or transplantation and, hopefully, change the bleak outlook of the disease. Similar studies with same results conducted in Asian countries, including Korea, China, and Japan, with high prevalence of HF due to aging of the population and adoption of a Western lifestyle have revealed that BNP at admission is the most powerful prognostic factor of mortality in patients with HF, and that high levels of BNP are significantly associated with poor outcomes. Of the four outcomes between mortality, readmission, long hospital stays and poor prognosis, the best predicted by NT- pro BNP is mortality [16-19].

Conclusion

Heart failure in the wake of COVID-19 pandemic has been significantly mistaken especially in sub-Saharan countries, where patients with congestive cardiac failure would be mistaken diagnosed with COVID-19 due to shortness of brief. NT-proBNP levels are a simple test that can be done to quickly identify patients with heart failure from those with respiratory symptoms for proper management.

The originality of the present study lies in that to date there have been no Tanzanian data available regarding the use of NT-proBNP in the follow-up of patients with heart failure. NT-proBNP values seem to be a very strong predictor of subsequent outcomes in patients admitted for HF and should be used for reducing future cardiovascular events. Our study demonstrates that NT-proBNP could be a good tool that can be used to predict readmission and mortality in patients with HF. We have also shown that NT- proBNP levels can also aid in identifying patients with congestive cardiac failure from those with COVID-19. Thus, the clinical value of NT-proBNP can facilitate discussions with patient prognosis, decisions regarding interventions, and continuity of care.

Findings of this study calls upon the use of NT-proBNP biomarkers for HF patients’ prognostication and its usefulness in identifying patients with heart failure from those with COVID-19.

Declarations

Ethics approval and consent to participate

All participants provided written consent before entering the study. The study was approved by the local ethics committee of Muhimbili University of Health and Allied Sciences’ Ethical Review Board. Permission to do the study was obtained from Jakaya Kikwete Cardiac Institute management.

Consent for Publication

Not applicable.

Competing Interests

The authors declare no competing interests.

Funding

Self-funded

Author's Contributions

MMM, PC and KK conceptualized and designed the study, performed data analysis, interpreted the results and wrote the manuscript.

Acknowledgements

The authors would like to thank all the institutions, health staff and study participants involved in the study and the following for their technical support; Prof. Mohamed Janabi, Thadei Kavishe and Ponsian Peter.

References

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  3. Joseph Gallagher. Heart Failure in Sub-Saharan Africa. Cardiac Failure Rev 2018;4(1):21รข??24
  4. Mayosi BM Contemporary trends in the epidemiology and management of cardiomyopathy and pericarditis in sub-Saharan.
  5. Tsutamoto T, Wada A, Maeda K. Attenuation of compensation of endogenous cardiac natriuretic peptide system in chronic heart failure: prognostic role of plasma brain natriuretic peptide concentration in patients with chronic symptomatic left ventricular dysfunction. Circulation.1997; 96:509-516.
  6. Cheng V, Kazanegra R, Garcia A, Lenert L, Krishnaswamy P, Gardetto N, et al. Maisel A: A rapid bedside test for B-type peptide predicts treatment outcomes in patients admitted for decompensated heart failure: a pilot study.
  7. Shang-Chiun Lee, Stevens LT, Sandberg SM, Heublein DM, Nelson SM, Jougasaki
  8. Belagavi A. Correlation between NT proBNP and left ventricular ejection fraction in elderly patients presenting to emergency department with dyspnoea. Indian Heart J. 2012: 0019-4832
  9. Groenning BA, Raymond I, Hildebrandt PR, Nilsson JC, Baumann M, Pedersen F.
  10. Krim SR. Racial/ethnic differences in B-type natriuretic peptide levels and their association with care and outcomes among patients hospitalized with heart failure: Findings from get with the guidelines-heart failure. JACC Heart Fail. 2013; 1:345-352.

Author Info

Mark. P. Mayala1*, Khuzeima Khanbhai2, Ponsian Peter3 and Pilly Chillo1
 
1Department of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es salaam, Tanzania
2Department Department of Cardiology, Jakaya Kikwete Cardiac Institute, Dar es Salaam, Tanzania
3Department of Epidemiology and Biostatistics, Muhimbili University of Health and Alied Sciences, Dar es salaam, Tanzania
 

Citation: Mayala MP, Khanbhai K, Peter P, Chillo P (2021) Correlates and Short-Term Prognostic Value of Plasma N-Terminal Pro-Brain Natriuretic Peptide Levels among Heart Failure Patients; in a Wake of COVID-19 Pandemic: A Prospective Cohort Study. J Clin Trials. S14:006.

Received: 03-Nov-2021 Accepted: 17-Nov-2021 Published: 24-Nov-2021

Copyright: © 2021 Mayala MP, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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