Exploring the Correlates of Hematological Parameters With Early Diabetic Nephropathy in Type 2 Diabetes Mellitus.

BACKGROUND: Type 2 diabetes mellitus (DM) with nephropathy is a common complication in poorly controlled diabetes. Uncontrolled DM leads to intraglomerular vascular changes that cause physical injury to capillary walls, causing a profibrotic response in kidneys. The present study aimed to determine the association of hematological markers with microalbuminuria in early diabetic nephropathy. METHODS: A single-center, cross-sectional study was conducted over the period of two years at the Department of Medicine of Pradyumna Bal Memorial Hospital, Kalinga Institute of Medical Sciences. A total of 90 patients diagnosed with type 2 DM were classified into two groups (group A and group B) according to microalbuminuria; there were 45 patients in each group. Levels of hematological markers, i.e., neutrophil-to-lymphocyte ratio (NLR) and red cell distribution width (RDW), between the study groups were examined and compared. RESULTS: A significant difference in NLR was found between groups A and B (p = 0.001). A statistically significant difference in RDW was found between the groups (p = 0.015). Receiver operating characteristic curve analysis of inflammatory markers and microalbuminuria prediction showed an area under the curve of 0.814 for NLR and 0.656 for RDW. CONCLUSION: Hematological parameters like NLR and RDW are elevated in early diabetic nephropathy patients. NLR is found to be a better marker than RDW in predicting early nephropathy.

Comparing Prognostic Scores and Inflammatory Markers in Predicting the Severity and Mortality of Acute Pancreatitis.

BACKGROUND: Acute pancreatitis is an emergency gastrointestinal condition for which severity prediction is crucial during hospitalization. This study aimed to compare the diagnostic accuracy of inflammatory markers with gold standard scoring systems in predicting pancreatitis severity. MATERIALS AND METHODS: A prospective, hospital-based, cohort study was conducted, including 249 patients diagnosed with acute pancreatitis via clinical examination. Laboratory investigations and radiological investigations were conducted. The diagnostic accuracy of the inflammatory markers neutrophil/lymphocyte ratio (NLR), lymphocyte/monocyte ratio (LMR), red cell distribution width (RDW), and prognostic nutritional index (PNI) was compared with gold standard prognostic scores, namely, the Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score II (SAPS II), Bedside Index of Severity in Acute Pancreatitis (BISAP), and Systemic Inflammatory Response Syndrome (SIRS), in predicting primary and secondary outcomes. All values were analyzed using mean and standard deviation (SD). Sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve for mortality prediction were calculated for NLR, LMR, RDW, and PNI. RESULTS: Of 249 patients with acute pancreatitis (mean age: 39-43 years), 94 were classified as mild acute, 74 as moderately severe acute, and 81 as severe acute. The most common etiology was alcohol use (40.2%), followed by gallstones (29.7%), hypertriglyceridemia (6.4%), steroid use (4%), diabetic ketoacidosis (2.8%), hypercalcemia (2.8%), and complication of endoscopic retrograde cholangiopancreatography (2%). On day 1, mean values of NLR, LMR, RDW, and PNI were 8.23±5.11, 2.63±1.76, 15.93±3.64, and 32.84±8.13, respectively. Compared to APACHE II, SAPS II, BISAP, and SIRS on day 1, day 3, day 7, and day 14, the cutoff values for NLR were 4.06, 10.75, 8.75, and 13.75, respectively. Similarly, on day 1, the cutoff value of LMR was 1.95, and on day 1 and day 3, the cutoff values of RDW were 14.75% and 15%, respectively. CONCLUSION: The results indicate that inflammatory biomarkers NLR, LMR, RDW, and PNI are comparable with gold standard scoring systems for predicting the severity and mortality of acute pancreatitis. NLR on day 7 was significantly associated with higher severity of illness. NLR on days 3, 7, and 14, LMR on day 1, and RDW on days 1 and 3 were significantly associated with mortality.

Planetary health and the role of community health workers.

In this era, grand challenges lies in biodiversity loss, climate change, and global noncommunicable diseases signify that planet and humanity are in crisis. Scholarly evidence from human and animal kingdom suggest that there is an optimism in planetary health which can provide a unique and novel concept where efforts toward survival and remediation can be made. With accurate navigation, the current challenges can be mitigated leading to a new reality, one in which the core value is the well-being of all. This paper discusses the drivers of planetary health and the role of community health workers (CHWs) in making health-care system more resilient that can produce multiple benefits to community and overall planetary health. A web-based international database such as Google, Google Scholar, SCOPUS/MEDLINE/PubMed, and JSTOR was searched relevant to a planetary health framework. The study findings suggest that CHWs can offer health care interventions through environmental health cobenefits across the spectrum of health effects of climate change cause and effects. These actions have been divided into four major categories (i. health care promotion and prevention, ii. health care strengthening, iii. advocacy, and iv. education and research) that CHWs perform through a variety of roles and functions they are engaged in protecting planetary health. CHWs contribute toward achieving sustainable development goals such as planetary health and focus on environment sustainability and well-being of entire mankind.

The Extent and Structure of Peri-urban Smallholder Dairy Farming in Five Cities in India.

Livestock keeping is common in many cities in India, driven by the demand for animal-source foods, particularly perishable milk. We selected five cities from different regions of the country and conducted a census in 34 randomly selected peri-urban villages to identify and describe all smallholder dairy farms. In total 1,690 smallholder dairy farms were identified, keeping on average 2.2 milking cows and 0.7 milking buffaloes. In Bhubaneswar, the proportion of cows milking was only 50%, but in other cities it was 63-73%. In two of the five cities, more than 90% of the farmers stated that dairy production was their main source of income, while <50% in the other cities reported this. In one of the cities, only 36% of the households kept milk for themselves. Market channels varied considerably; in one city about 90% of farms sold milk to traders, in another, 90% sold to the dairy cooperative, and in another around 90% sold directly to consumers. In conclusion, peri-urban dairy systems in India are important but also varying between different cities, with only one city, Bengaluru, having a well-developed cooperative system, and the northeastern poorer region being more dependent on traders. Further studies may be needed to elucidate the importance and to design appropriate developmental interventions.

Spatial heterogeneity in projected leprosy trends in India.

BACKGROUND: Leprosy is caused by infection with Mycobacterium leprae and is characterized by peripheral nerve damage and skin lesions. The disease is classified into paucibacillary (PB) and multibacillary (MB) leprosy. The 2012 London Declaration formulated the following targets for leprosy control: (1) global interruption of transmission or elimination by 2020, and (2) reduction of grade-2 disabilities in newly detected cases to below 1 per million population at a global level by 2020. Leprosy is treatable, but diagnosis, access to treatment and treatment adherence (all necessary to curtail transmission) represent major challenges. Globally, new case detection rates for leprosy have remained fairly stable in the past decade, with India responsible for more than half of cases reported annually. METHODS: We analyzed publicly available data from the Indian Ministry of Health and Family Welfare, and fit linear mixed-effects regression models to leprosy case detection trends reported at the district level. We assessed correlation of the new district-level case detection rate for leprosy with several state-level regressors: TB incidence, BCG coverage, fraction of cases exhibiting grade 2 disability at diagnosis, fraction of cases in children, and fraction multibacillary. RESULTS: Our analyses suggest an endemic disease in very slow decline, with substantial spatial heterogeneity at both district and state levels. Enhanced active case finding was associated with a higher case detection rate. CONCLUSIONS: Trend analysis of reported new detection rates from India does not support a thesis of rapid progress in leprosy control.