A contemporary review of peripartum cardiomyopathy

Peripartum cardiomyopathy unveiled: Etiology, diagnosis, and therapeutic insights

Peripartum cardiomyopathy (PPCM) remains a significant challenge in maternal health, marked by its unpredictable onset and varied clinical outcomes. With rising incidence rates globally, understanding PPCM is vital for improving maternal care and prognosis. This review aims to consolidate current knowledge on PPCM, highlighting recent advancements in its diagnosis, management, and therapeutic approaches. This comprehensive review delves into the epidemiology of PPCM, underscoring its global impact and demographic variations. We explore the complex etiology of the condition, examining known risk factors and discussing the potential pathophysiological mechanisms, including oxidative stress and hormonal influences. The clinical presentation of PPCM, often similar yet distinct from other forms of cardiomyopathy, is analyzed to aid in differential diagnosis. Diagnostic challenges are addressed, emphasizing the role of advanced imaging and biomarkers. Current management strategies are reviewed, focusing on the absence of disease-specific treatments and the application of general heart failure protocols. The review also discusses the prognosis of PPCM, factors influencing recovery, and the implications for future pregnancies. Finally, we highlight emerging research directions and the urgent need for disease-specific therapies, aiming to provide a roadmap for future studies and improved patient care. This review serves as a crucial resource for clinicians and researchers, contributing to a deeper understanding and better management of PPCM.

Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy

BACKGROUND

This study used electrocardiogram data in conjunction with artificial intelligence methods as a noninvasive tool for detecting peripartum cardiomyopathy.

OBJECTIVE

This study aimed to assess the efficacy of an artificial intelligence-based heart failure detection model for peripartum cardiomyopathy detection.

STUDY DESIGN

We first built a deep-learning model for heart failure detection using retrospective data at the University of Tennessee Health Science Center. Cases were adult and nonpregnant female patients with a heart failure diagnosis; controls were adult nonpregnant female patients without heart failure. The model was then tested on an independent cohort of pregnant women at the University of Tennessee Health Science Center with or without peripartum cardiomyopathy. We also tested the model in an external cohort of pregnant women at Atrium Health Wake Forest Baptist. Key outcomes were assessed using the area under the receiver operating characteristic curve. We also repeated our analysis using only lead I electrocardiogram as an input to assess the feasibility of remote monitoring via wearables that can capture single-lead electrocardiogram data.

RESULTS

The University of Tennessee Health Science Center heart failure cohort comprised 346,339 electrocardiograms from 142,601 patients. In this cohort, 60% of participants were Black and 37% were White, with an average age (standard deviation) of 53 (19) years. The heart failure detection model achieved an area under the curve of 0.92 on the holdout set. We then tested the ability of the heart failure model to detect peripartum cardiomyopathy in an independent University of Tennessee Health Science Center cohort of pregnant women and an external Atrium Health Wake Forest Baptist cohort of pregnant women. The independent University of Tennessee Health Science Center cohort included 158 electrocardiograms from 115 patients; our deep-learning model achieved an area under the curve of 0.83 (0.77-0.89) for this data set. The external Atrium Health Wake Forest Baptist cohort involved 80 electrocardiograms from 43 patients; our deep-learning model achieved an area under the curve of 0.94 (0.91-0.98) for this data set. For identifying peripartum cardiomyopathy diagnosed ≥10 days after delivery, the model achieved an area under the curve of 0.88 (0.81-0.94) for the University of Tennessee Health Science Center cohort and of 0.96 (0.93-0.99) for the Atrium Health Wake Forest Baptist cohort. When we repeated our analysis by building a heart failure detection model using only lead-I electrocardiograms, we obtained similarly high detection accuracies, with areas under the curve of 0.73 and 0.93 for the University of Tennessee Health Science Center and Atrium Health Wake Forest Baptist cohorts, respectively.

CONCLUSION

Artificial intelligence can accurately detect peripartum cardiomyopathy from electrocardiograms alone. A simple electrocardiographic artificial intelligence-based peripartum screening could result in a timelier diagnosis. Given that results with 1-lead electrocardiogram data were similar to those obtained using all 12 leads, future studies will focus on remote screening for peripartum cardiomyopathy using smartwatches that can capture single-lead electrocardiogram data.

Peripartum cardiomyopathy in low- and middle-income countries

Peripartum cardiomyopathy (PPCM) causes pregnancy-associated heart failure, typically during the last month of pregnancy, and up to 6 months post-partum, in women without known cardiovascular disease. PPCM is a global disease, but with a significant geographical variability within and between countries. Its true incidence in Africa is still unknown because of the lack of a PPCM population-based study. The variability in the epidemiology of PPCM between and within countries could be due to differences in the prevalence of both genetic and non-genetic risk factors. Several risk factors have been implicated in the aetiopathogenesis of PPCM over the years. Majority of patients with PPCM present with symptoms and signs of congestive cardiac failure. Diagnostic work up in PPCM is prompted by strong clinical suspicion, but Echocardiography is the main imaging technique for diagnosis. The management of PPCM involves multiple disciplines - cardiologists, anaesthetists, intensivists, obstetricians, neonatologists, and the prognosis varies widely.

ZFP36L2 suppresses mTORc1 through a P53-dependent pathway to prevent peripartum cardiomyopathy in mice

Pregnancy is associated with substantial physiological changes of the heart, and disruptions in these processes can lead to peripartum cardiomyopathy (PPCM). The molecular processes that cause physiological and pathological changes in the heart during pregnancy are not well characterized. Here, we show that mTORc1 was activated in pregnancy to facilitate cardiac enlargement that was reversed after delivery in mice. mTORc1 activation in pregnancy was negatively regulated by the mRNA-destabilizing protein ZFP36L2 through its degradation of Mdm2 mRNA and P53 stabilization, leading to increased SESN2 and REDD1 expression. This pathway impeded uncontrolled cardiomyocyte hypertrophy during pregnancy, and mice with cardiac-specific Zfp36l2 deletion developed rapid cardiac dysfunction after delivery, while prenatal treatment of these mice with rapamycin improved postpartum cardiac function. Collectively, these data provide what we believe to be a novel pathway for the regulation of mTORc1 through mRNA stabilization of a P53 ubiquitin ligase. This pathway was critical for normal cardiac growth during pregnancy, and its reduction led to PPCM-like adverse remodeling in mice.

[Peripartum cardiomyopathy: A review of the literature]

Peripartum cardiomyopathy is a rare and unpredictable pregnancy-related pathology. Idiopathic cardiomyopathy is characterized by a heart failure secondary to left ventricular systolic dysfunction appearing towards the end of pregnancy or in the months following delivery with a non-specific clinic presentation. Through reviewing previous research, our critical literature review wishes to bring a concise and objective summarize for a better understanding of physiopathology, evocative symptoms and knowing of factors influencing prognosis in order to standardize peripartum management. The treatment remains mainly symptomatic but other promising treatments are still in development. In conclusion, early detection and treatment allow a better cardiac function recovery reducing cardiac transplantation.

Peripartum cardiomyopathy: a review

Peripartum cardiomyopathy is a form of idiopathic systolic heart failure which occurs during the end of pregnancy or the early post-partum in the absence of an identifiable etiology. The exact pathogenesis remains unknown, and the incidence is higher in African ancestry, multiparous and hypertensive women, or older maternal age. Delay in diagnosis is common, mainly because symptoms of heart failure mimic those of normal pregnancy. Echocardiography showing decreased myocardial function is at the center of the diagnosis. Management relies on the general guidelines of management of other forms of non-ischemic cardiomyopathy; however, special attention should be paid when choosing medications to ensure fetal safety. Outcomes can be variable and can range from complete recovery to persistent heart failure requiring transplant or even death. High rates of relapse with subsequent pregnancies can occur, especially with incomplete myocardial recovery. Additional research about the etiology, experimental drugs, prognosis, and duration of treatment after recovery are needed.

The regulatory effect of bromocriptine on cardiac hypertrophy by prolactin and D2 receptor modulation

BACKGROUND

Bromocriptine, a dopamine agonist, used for the treatment of hyperprolactinemia, type 2 diabetes, ovarian hyper-stimulation syndrome, has also effects on the cardiac remodeling process, but the mechanism of action is unknown. The aim of this work was to determinate the effect during hypertrophic process through molecular mechanisms that include prolactin receptor (Prlr) and receptor of dopamine 2 (D2 r) expression.

METHODS

We used a model of cardiac hypertrophy induced by an aortocaval fistula (ACF) surgery in rats. Protein concentrations of D2 r and Prlr were determined by western blotting. The treatment consisted in water (control), captopril (50 mg/kg/day), bromocriptine (3 mg/kg/day), and ACF group (n = 6 per group).

RESULTS

Our results showed that bromocriptine treatment decreases the hypertrophy index. Treatment with bromocriptine increases the protein expression of Prlr and D2 r in the cardiac tissue of rats with cardiac hypertrophy.

CONCLUSIONS

We concluded that bromocriptine has a protective effect on cardiac hypertrophy, and due to this effect, it may modulate the expression of Prlr and D2 r, which are involved in the development of cardiac hypertrophy.

Comparison of four prognostic scales for predicting mortality in patients with severe maternal morbidity

OBJECTIVE

To compare the prognostic validity of the APACHE II-M and O-SOFA scales versus the APACHE II and SOFA to predict mortality in patients with severe maternal morbidity.

DESIGN

A retrospective, longitudinal and analytical cohort study was carried out.

SETTING

Medical-surgical intensive care unit (ICU) of a tertiary hospital.

PATIENTS

Pregnant or puerperal patients of any age admitted to the ICU.

INTERVENTIONS

Calculation of prognostic scores upon admission.

VARIABLES OF INTEREST

APACHE II, SOFA, APACHE II-M and O-SOFA scores and maternal mortality.

RESULTS

A total of 141 patients were included. The majority (70.2%) were puerperal. The most frequent diagnosis was gestational hypertensive disease (50 cases). The discrimination of each prognostic model was estimated with the area under the ROC curve (AUC-ROC). The calibration was estimated using the mortality ratio and the Hosmer-Lemeshow statistic. The four scales discriminated between survivors and non-survivors with areas under the curve >0.85. The APACHE II-M model was the predictive model with the highest discrimination and calibration. In the Hosmer-Lemeshow regression analysis, mortality as predicted by the APACHE II and O-SOFA was significantly different from the observed mortality.

CONCLUSIONS

The APACHE II-M exhibited the greatest prognostic validity in predicting maternal mortality. This difference was given by its improvement in calibration.

CE: Gestational Hypertension, Preeclampsia, and Peripartum Cardiomyopathy: A Clinical Review

Gestational hypertension, preeclampsia, and peripartum cardiomyopathy are among the most common and often severe pregnancy-specific cardiovascular diseases (CVDs) and causes of complications in pregnancy. This clinical review provides nurses with an overview of pregnancy-specific CVDs, outlines their pathophysiology, and discusses risk factors and assessment. It describes management interventions according to timing: the antepartum, intrapartum, and postpartum phases are each addressed.

Peripartum cardiomyopathy: basic mechanisms and hope for new therapies

Peripartum cardiomyopathy (PPCM) is a life-threatening cardiomyopathy characterized by acute or slow progression of left ventricular (LV) systolic dysfunction (LV ejection fraction of <45%) late in pregnancy, during delivery, or in the first postpartum months, in women with no other identifiable causes of heart failure. PPCM patients display variable phenotypes and risk factor profiles, pointing to involvement of multiple mechanisms in the pathogenesis of the disease. The higher risk for PPCM in women with African ancestry, the prevalence of gene variants associated with cardiomyopathies, and the high variability in onset and disease progression in PPCM patients also indicate multiple mechanisms at work. Experimental data have shown that different factors can induce and drive PPCM, including inflammation and immunity, pregnancy hormone impairment, catecholamine stress, defective cAMP-PKA, and G-protein-coupled-receptor signalling, and genetic variants. However, several of these mechanisms may merge into a common major pathway, which includes unbalanced oxidative stress and the cleavage of the nursing hormone prolactin (PRL) into an angiostatic, pro-apoptotic, and pro-inflammatory 16 kDa-PRL fragment, resulting in subsequent vascular damage and heart failure. Based on this common pathway, potential disease-specific biomarkers and therapies have emerged. Despite commonalities, the variation in aetiology and mechanisms poses challenges for the diagnosis, treatment, and management of the disease. This review summarizes current knowledge on the clinical presentation of PPCM in the context of recent experimental research. It discusses the challenge to develop disease-specific biomarkers in the context of rapid changing physiology in the peripartum phase, and outlines possible future treatment and management strategies for PPCM patients.

Peripartum cardiomyopathy: disease or syndrome?

Peripartum cardiomyopathy (PPCM) is a rare form of pregnancy-associated heart failure and is considered to be a diagnosis of exclusion. There are many hypotheses on the aetiology of PPCM; however, the exact pathophysiological mechanism remains unknown. It shows many resemblances to other conditions, such as familial dilated cardiomyopathy or myocarditis, and therefore it can be hard to make a definite diagnosis. We describe four cases of peripartum-onset heart failure in women who were suspected of having PPCM. We discuss the differential diagnosis, pathophysiological mechanisms and various diagnostic modalities.

Predictors of early and delayed recovery in peripartum cardiomyopathy: a prospective study of 52 Patients

Background: Predictors of early or delayed recovery are unclear in peripartum cardiomyopathy (PPCM). Therefore, we aimed to assess the prognostic value of serial assessment of clinical, echocardiographic, and biochemical markers in patients with PPCM.Methods: Fifty-two consecutive women with PPCM were enrolled in this prospective study. Each patient underwent transthoracic echocardiography, B-type natriuretic peptide (BNP) and C-reactive protein (CRP) measurement at admission, and every 3 months. Early recovery was defined as resolution of heart failure at 6 months postdiagnosis, delayed recovery was defined if the length of time required for recovery of left ventricular function was longer than 6 months, and persistent left ventricular dysfunction (PLVD) was defined as an ejection fraction of less than 50% at the end of follow-up.Results: Thirty patients (57.7%) recovered completely, 10 died (19.2%), and 12 (23.1%) had PLVD. There were no significant differences in baseline BNP and CRP values between patients who recovered completely and who did not recover. However, patients with complete recovery were more likely to have a higher left ventricular ejection fraction, smaller left ventricle end-systolic dimensions at baseline, and lower CRP and BNP levels at follow-up. Elevated levels of BNP and CRP on follow up at 3 and 6 months were associated with nonrecovery. Third and sixth month BNP values were significantly lower in patients with rapid recovery, compared to patients with delayed recovery. Bromocriptine therapy was also associated with early recovery.Conclusions: Persistent elevation of plasma CRP and BNP levels at follow-up portend a slower response or nonrecovery in patients with PPCM. Bromocriptine therapy was an independent predictor of early recovery.