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Limited data exists on patients with cardiac amyloidosis (CA) in India, due to underdiagnosis and late presentation. We present single centre data from 13 patients over a 4 year period with a median age of 65 years. A majority presented with symptomatic heart failure (69%) and eight patients had confirmed AL amyloidosis. At the end of the follow up period, 46% patients died, with 30% of the overall cohort dead within six months. Among the survivors, 71% continue to have NYHA grade III/IV symptoms. A suggested algorithm for earlier diagnosis in resource constrained settings is also presented.
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Objectives: The environmental effect in heart failure (HF) patients is well established. However, the data is limited from low-to middle-income countries like India. This study determined the impact of environment on acute decompensated HF (ADHF) admissions and mortality in India. Methods: Retrospectively, the data of all HF patients admitted between April 2017 and March 2019 was accessed through electronic hospital records. Simultaneously, the environmental-related data was collected from the central pollution control board. Results: The study included 4561 patients of ADHF. The peak of monthly ADHF events (admission and mortality) was observed during the chilly month (January) while the lowest rates were observed in summer months (MayeJune). The most significant factor correlating inversely with the monthly ADHF admission (r ¼ 0.78, p ¼ 0.003) and mortality (r ¼ 0.65, p ¼ 0.004) was the maximum air temperature, and it was found to be the independent predictor for both ADHF mortality [t ¼ 2.78, b ¼ 0.84; 95%CI(-6.0 to 0.6), p ¼ 0.021] and admission [t ¼ 4.83, b ¼ 0.91; 95%CI(-19.8 to 6.9), p ¼ 0.001]. The above correlation was better seen in the elderly subset and male gender. Humidity and the air pollution attributes did not have a significant correlation with ADHF admission or mortality. Conclusion: In conclusion, even in low-to middle-income country like India, a periodic effect of season was demonstrated for ADHF mortality and admission, with a peak in ADHF events noted during winter months especially in the regions having extremes of seasons. Air pollution could not affect the ADHF outcome for which further studies are needed
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Objective Information available on acid–base imbalance in ST-elevation myocardial infarction (STEMI) submitted to primary percutaneous intervention is limited and no data were present on intracoronary blood analysis, extracted from obstructed artery. Methods This was a prospective study conducted over 12 months in which STEMI patients presenting in emergency and undergoing primary percutaneous coronary intervention were included. Blood gas analysis of intracoronary arterial blood from obstructed vessel and peripheral arterial blood was performed. Patients in whom adequate intracoronary sample could not be obtained were excluded. Intracoronary and peripheral arterial blood gas measurements were correlated and relationship of intracoronary parameters were compared with clinical parameters, investigational markers and short-term outcome. Results The mean age of study population was 54.8 years and average symptom onset to door time was 162 min. On comparing intracoronary blood with peripheral blood arterial obtained, pH (95% confidence interval [CI] −0.01 to 0.02;p = 0.44), lactate (95% CI 0.03–0.1;p = 0.28), bicarbonate (95% CI 0.6–1.5;p = 0.64), pCO2 (95% CI 1.1–2.4;p = 0.79) and pO2 (95% CI 3.2–47.5; p = 0.06) were all found to be statistically insignificant. Intracoronary hyperlactatemia was present in patients presenting with higher symptom onset to door time (p = 0.025). Systolic blood pressure (SBP) (p = 0.03) was also significantly lower in patients who had high intracoronary lactate levels. Conclusion The evaluation of intracoronary blood provides no additional information regarding the prognosis and short-term (30-day) outcome of the patients when compared with peripheral blood. However, there was a significant intracoronary hyperlactatemia in patients presenting late after symptom onset. SBP was also significantly less in patients with high intracoronary lactate, which signifies that predominant cause of hyperlactatemia was systemic hypoperfusion rather than local increase in lactate levels.
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Perioperative complications of prolonged surgery and prone positioning are well known. Changing the position from prone to supine in an anesthetized patient can result in aspiration and airway obstruction. The drop-in oxygen saturation and hemodynamic changes are warning signs and can cause acute cardiac decompensation leading to diagnostic dilemma. We present a case where the patient had these changes after changing the position after spine surgery in prone position. A quick response from the treating anesthesiologist and active involvement of cardiologist helped in reaching the diagnosis and successful management of aspiration pneumonitis in this patient. We conclude that a quick response in investigations and multimodality approach helps in the management of such perioperative complications.
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Objective There are no community based, longitudinal, intra individual epidemiological studies on effect of weather and season on blood pressure (BP). We evaluated the effect of season and temperature on prevalence and epidemiology of BP in tropical climate. Methods and results It was a longitudinal cross sectional survey of rural and urban subjects in their native surroundings. BP was measured in four different seasons in same subjects. A total of 978 subjects (452 rural and 521 urban) were included in the current analysis. Demographic characteristics such as age, gender, education, occupational based physical activity and body mass index (BMI) were recorded. Mean BP, both systolic and diastolic were significantly higher in winter season as compared to summer season. Mean difference between winter and summer was 9.01 (95% CI: 7.74–10.28, p < 0.001) in systolic BP and 5.61 (95% CI: 4.75–6.47, p < 0.001) in diastolic BP. This increase in BP was more marked in rural areas and elderly subjects. Prevalence of hypertension was significantly higher during winter (23.72%) than in summer (10.12%). Conclusion BP increases significantly during winter season as compared to summer season. Increase is more marked in rural areas and elderly subjects. Seasonal variation in BP should be taken into account while looking at prevalence of hypertension in epidemiological studies.