Background Undernourished people have an increased risk of premature mortality from both infectious and non-communicable diseases. Aside from screening purposes, assessment of nutritional status is a useful tool in management and evaluation of various chronic diseases. Body-Mass-Index (BMI) is today the most commonly used marker of nutritional status however, this method presents a challenge in many low resource settings and immobile patients. Mid-upper arm circumference (MUAC) is another anthropometric measure that requires minimal equipment and little training. So far, MUAC cutoffs for undernutrition are well established in children < 5 years but there is still no consensus for a specific cutoff in adults. The objective of this study was to compare MUAC with BMI and suggest a MUAC cut-off corresponding to a BMI of 18.5 kg/m2 to identify underweight in adults. Methods A cross-sectional study was conducted at two urban public hospitals in Nepal. The following variables where collected: MUAC, weight, height, sex, age and self-reported medical history. Exclusion criteria: < 19 years of age, pregnancy and oedema. Sensitivity and specificity for a MUAC value corresponding to BMI < 18.5 was calculated. ROC analysis was performed for male and female as well as Pearson’s correlation of MUAC and BMI. Results A total of 302 people between 18 and 86 years of age, 197 women and 105 men, were included. Of these, 90 people suffered from rheumatic heart disease. MUAC was highly correlated with BMI in both women r = 0.889 and men r = 0.846. Best statistically derived MUAC cutoff corresponding to a BMI < 18.5 kg/m 2 was 24.5 cm (Youdens Index = 0.75; sensitivity 92.86; specificity 82.48), with high predictive value (AUROCC> 0.9). The setting based optimal MUAC cutoff was also 24.5 cm. No considerable variation was found in sex- and disease specific subgroups. Conclusion MUAC is strongly correlated with BMI in adults in Nepal. For simplicity, a MUAC of 24.5 cm is the optimal statistically and setting based cutoff in both women and men to identify underweight (BMI < 18.5 kg/m 2 ).

In heart failure (HF), the heart cannot pump blood efficiently and is therefore unable to meet the body's demands of oxygen, and/or there is increased end-diastolic pressure. Current treatments for HF with reduced ejection fraction (HFrEF) include angiotensin-converting enzyme (ACE) inhibitors, angiotension receptor type 1 (AT 1 ) antagonists, b-adrenoceptor antagonists, aldosterone receptor antagonists, diuretics, digoxin and a combination drug with AT 1 receptor antagonist and neprilysin inhibitor. In HF, the risk of readmission for hospital and mortality is markedly higher with a heart rate (HR) above 70 bpm. Here, we review the evidence regarding the use of ivabradine for lowering HR in HF. Ivabradine is a blocker of an I funny current (I(f)) channel and causes rate-dependent inhibition of the pacemaker activity in the sinoatrial node. In clinical trials of HFrEF, treatment with ivabradine seems to improve clinical outcome, for example improved ejection fraction (EF) and less readmission for hospital, but the effect appears most pronounced in patients with HRs above 70 bpm, while the effect on cardiovascular death appears less consistent. The adverse effects of ivabradine include bradycardia, atrial fibrillation and visual disturbances, but ivabradine avoids the negative inotrope effects observed with b-adrenoceptor antagonists. In conclusion, in patients with stable HFrEF with EF<35% and HR above 70 bpm, ivabradine improves the outcome and might be a first choice of therapy, if beta-adrenoceptor antagonists are not tolerated. Further studies must show whether that can be extended to HF patients with preserved EF.Heart failure (HF) affects people all over the world and is a major health concern. Nearly 5.8 million people in the USA are affected by HF, and one of nine US death certificates mention HF [1]. HF is more prevalent with increasing age and more men than women are affected, and the life-time risk of developing this condition is an estimated one in five.Current treatment strategies include angiotensin-converting enzyme (ACE) inhibitors, angiotension receptor type 1 (AT 1 ) antagonists, b-adrenoceptor antagonists (BAA), aldosterone receptor antagonists, diuretics and digoxin, and only if the patient is severely affected, ivabradine or a combination of AT1 receptor antagonist and neprilysin inhibitor (ARNI) is added [2]. The principal aim of this MiniReview was to examine the literature regarding use of ivabradine and investigate the hypothesis that ivabradine may be a first choice of therapy when the resting heart rate (HR) is 70 bpm or higher.

Background Diagnosis and treatment for Rheumatic Heart Disease (RHD) is inaccessible for many of the 33 million people in low and middle income countries living with this disease. More knowledge about risk factors and pathophysiologic mechanisms involved is needed in order to prevent disease and optimize treatment. This study investigated risk factors in a Nepalese population, with a special focus on Vitamin D deficiency because of its immunomodulatory effects. Methods Ninety-nine patients with confirmed RHD diagnosis and 97 matched, cardiac-healthy controls selected by echocardiography were recruited from hospitals in the Central and Western region of Nepal. Serum 25(OH)D concentrations were assessed using dried blood spots and anthropometric values measured to evaluate nutritional status. Conditional logistic regression analysis was used to define association between vitamin D deficiency and RHD. Results The mean age of RHD patients was 31 years (range 9–70) and for healthy controls 32 years (range 9–65), with a 4:1 female to male ratio. Vitamin D levels were lower than expected in both RDH and controls. RHD patients had lower vitamin D levels than controls with a mean s-25(OH)D concentration of 39 nmol/l (range 8.7–89.4) compared with controls 45 nmol/l (range 14.5–86.7) (p-value = 0.02). People with Vitamin D insufficiency had a higher risk (OR = 2.59; 95% CI: 1.04–6.50) of also having RHD compared to people with Vitamin D concentrations >50 nmol/l. Body mass index was significantly lower in RHD patients (22.6; 95% CI, 21.5–23.2) compared to controls (24.2; 95% CI, 23.3–25.1). Conclusion RHD patients in Nepal have lower Vitamin D levels and overall poor nutritional status compared to the non-RHD controls. Longitudinal studies are needed to explore the causality between RHD and vitamin D level. Future research is also recommended among Nepali general population to confirm the low level of vitamin D as reported in our control group.

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Background In many low-and middle-income countries (LMICs), childhood overweight is increasing, while underweight remains a problem. This study aimed to investigate the association between socio-economic status (SES) and nutritional status among Nepalese school children. Methods This cross-sectional study used a multistage random cluster sampling method and included 868 students aged 9–17 years from both public and private schools located in a semi-urban area of Pokhara Metropolitan City, Nepal. SES was determined based on a self-reported questionnaire. Body weight and height were measured by health professionals and body mass index (BMI) was categorized based on the World Health Organization BMI-for-age cut-offs. The association between Lower and Upper SES and BMI was assessed using mixed-effects logistic regression model estimating the adjusted odds ratio (aOR) with a corresponding 95% confidence interval (CI) and compared to Middle SES. Results The proportion of obesity, overweight, underweight, and stunting among school children was 4%, 12%, 7%, and 17%, respectively. More girls were overweight/obese compared with boys (20% vs. 13%). The mixed-effects logistic regression model showed that both participants from Lower SES households and Upper SES households had a higher tendency to be overweight compared to participants from Middle SES; aOR = 1.4; 95% CI 0.7–3.1 and aOR = 1.1; 95% CI 0.6–2.1, respectively. Furthermore, stunting and overweight occurred simultaneously. Conclusions This study found that about one out of four children and adolescents in the study setting was malnourished. There was a tendency that both participants from Lower SES and Upper SES had higher odds of being overweight compared to participants from Middle SES. Furthermore, both stunting and overweight were present simultaneously in some individuals. This emphasizes the complexity and importance of awareness of childhood malnutrition in LMICs like Nepal.