Temporal Trends and Burden of Rheumatic Heart Disease in South Asia: A Comprehensive Analysis of Three Decades from Global Burden of Disease Study.

Background: The objective of this study is to conduct a temporal analysis of rheumatic heart disease (RHD) disease burden trends over a 30-year period (1991 to 2021), focusing on prevalence, deaths, and disability-adjusted life years (DALYs) in the South Asia (SA). Methods: In this ecological study, we analyzed data regarding burden of RHD from the Global Burden of Diseases (GBD) study spanning the years 1991 to 2021 for the SA Region. Estimates of the number RHD-related prevalence, deaths, and DALYs along with age-standardized rates (ASR) per 100,000 population and 95% uncertainty intervals (UI) were evaluated. Results: The overall prevalent cases of RHD in the 2021 were 54785.1 × 103 (43328.4 × 103 to 67605.5 × 103), out of which 14378.8 × 103 (11206.9 × 103 to 18056.9 × 103) were from SA. The ASR of point prevalence showed upward trend between 1991 and 2021, at global level and for SA with an average annual percentage change (AAPC) of 0.40 (0.39 to 0.40) and 0.12 (0.11 to 0.13), respectively. The overall number of RHD-related deaths in the 2021 were 373.3 × 103 (324.1 × 103 to 444.8 × 103), out of which 215 × 103 (176.9 × 103 to 287.8 × 103) were from SA, representing 57.6% of the global deaths. The ASR of deaths also showed downward trend between 1991 and 2021, at global level and for SA with an AAPC of -2.66 (-2.70 to -2.63) and -2.07 (-2.14 to -2.00), respectively. The ASR of DALYs showed downward trend between 1990 and 2019, at global level and for South Asian region with an AAPC of -2.47 (-2.49 to -2.44) and -2.22 (-2.27 to -2.17), respectively. Conclusion: The rising age-standardized prevalence of RHD remains a global concern, especially in South Asia which contribute to over 50% of global RHD-related deaths. Encouragingly, declining trends in RHD-related deaths and DALYs hint at progress in RHD management and treatment on both a global and regional scale.

Prodromal Symptoms in Patients Presenting With Myocardial Infarction.

Background Prodromal symptoms are warning signs of an impending acute myocardial infarction (AMI). However, they are often overlooked by both patients and primary clinicians, and little is known about them. Therefore, this study aims to assess the frequency and types of prodromal symptoms in patients with AMI. Methodology This descriptive cross-sectional study was conducted at a tertiary care cardiac center. Consecutive patients diagnosed with AMI within the last week were evaluated for prodromal symptoms. The prodromal symptoms included chest pain, chest heaviness, chest burning, palpitations, fatigue, sleep disturbance, shortness of breath (SOB), dizziness, anxiety, sudden heat or cold, back pain, and vomiting. Results In a sample of 242 patients, 79.6% were males, with a mean age of 54.7 ± 12.2 years, and 179 (74%) were diagnosed with ST-segment elevation myocardial infarction (STEMI). Among the participants, 142 (58.7%) showed no prodromal symptoms. Among those with prodromal symptoms, chest pain was the predominantly reported prodromal symptom with a frequency of 68%, followed by chest heaviness at 44%, palpitations at 42%, shortness of breath at 34%, and chest burning at 27%. Unusual fatigue in 23% and sleep disturbance in 22% of the patients were also reported. Conclusion The findings from this study revealed that prodromal symptoms were present in a significant proportion of acute myocardial infarction (MI) cases, with more than four in 10 patients reporting these early warning signs. The most commonly observed prodromal symptoms were chest pain, chest heaviness, palpitations, shortness of breath, and chest burning. The timely identification of these symptoms can help prevent infarction, thereby reducing the burden of heart failure and other related mortalities.

Pre-hospital Delay and Its Reasons in Patients With Acute Myocardial Infarction Presenting to a Primary Percutaneous Coronary Intervention-Capable Center.

Objective This study aimed to assess the duration of pre-hospital delay among ST-Segment Elevation Myocardial Infarction (STEMI) patients and its contributing factors. Methodology A cross-sectional study was conducted at Rural Satellite Center in Larkana, Pakistan from May to September 2020. A total of 240 STEMI patients who underwent primary percutaneous coronary intervention (P-PCI) were included. The patients' demographic characteristics, index event characteristics, mode of transportation, misinterpretations, misdiagnoses, and financial problems were recorded. Data were analyzed using SPSS version 22.0 (IBM Corp., Armonk, NY, USA). Results The observed pre-hospital time was 120 minutes; 229 (median; interquartile range [IQR]). It was found that 33.3% of patients arrived within one hour of the symptom onset, while 20.4% of patients delayed hospital arrival for more than six hours. The delay rate was highest among patients aged 41 to 65 years. Moreover, delayed admissions were more common among females as compared to males (p=0.008). Among the causes of delay in hospital arrival were misinterpretation, misdiagnosis, and transportation and financial issues. Of these, misdiagnosis significantly influenced the delay rate, i.e., more than 50% of the misdiagnosed patients arrived hospital after six hours of symptom onset (p<0.05). Conclusion The P-PCI rural satellite center had a positive impact as the observed pre-hospital delay rate was considerably less as compared to that reported in the existing literature. Moreover, the confounding factors were misdiagnosis and misinterpretations. We need to develop the concept of immediate appropriate help-seeking among patients.

Depression and Anxiety as a Risk Factor for Myocardial Infarction.

INTRODUCTION:  Patients having a cardiovascular disease experience negative states of psychology. An increased incidence of coronary artery disease is attributed to both depression and anxiety. MATERIALS AND METHODS:  In this retrospective study, the Hospitalized Anxiety and Depression Scale (HADS) was used to determine anxiety and depression in stable patients of myocardial infarction (MI) at the time of their discharge. All responses were based on the patients' perceptions two weeks prior to acute MI event. SPSS version 21.0 was used for data entry and analysis. RESULTS: The mean age of the participants in our study was 49.09±5.61 years. About 52.83% (n=28) and 58.49% (n=31) participants suffered from anxiety and depression two weeks prior to their myocardial infarction. CONCLUSION: Depression and anxiety can be a risk factor for myocardial infarction in susceptible individuals. Attention should be given to mental well-being, and a multi-disciplinary management approach should be taken for these patients including psychiatry and psychology.