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1.
J Clin Ultrasound ; 49(7): 715-719, 2021 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-34085292

RESUMEN

BACKGROUND: Prevalence of Chronic Kidney Disease (CKD) is increasing globally with the concomitant upsurge in diabetes mellitus and hypertension. We explored the research question whether Ultrasonographic (US) renal parameters are potential predictors of CKD? MATERIALS AND METHODS: A case control study was conducted at a tertiary care hospital that included 50 confirmed cases of CKD and 100 nondiseased controls. Renal length, renal parenchymal thickness, and renal cortical thickness were measured in both cases and controls by ultrasound examination. Corticomedullary differentiation and renal cortical echogenicity were also assessed. RESULTS: US parameters of renal length, renal parenchymal thickness, and renal cortical thickness were found to be significantly and strongly associated with the presence of CKD. The strongest association was observed with renal cortical echogenicity (OR 27.33, 95% CI 8.82-84.63). The association of reduced renal cortical thickness (OR 6.14, 95% CI 1.59-23.62), and renal length (OR 2.72, 95% CI 1.13-8.26) were independent and significant predictors of presence of CKD. CONCLUSIONS: Specific US parameters of renal cortical echogenicity, cortical thickness, and length of kidney have a strong potential for independently establishing the diagnosis and evaluation of progression of CKD.


Asunto(s)
Insuficiencia Renal Crónica , Estudios de Casos y Controles , Tasa de Filtración Glomerular , Hospitales , Humanos , Riñón/diagnóstico por imagen , Insuficiencia Renal Crónica/complicaciones , Insuficiencia Renal Crónica/diagnóstico por imagen , Ultrasonografía
2.
Health Policy Plan ; 36(5): 707-719, 2021 Jun 03.
Artículo en Inglés | MEDLINE | ID: mdl-33882118

RESUMEN

Vertical disease control programmes have enormous potential to benefit or weaken health systems, and it is critical to understand how programmes' design and implementation impact the health systems and communities in which they operate. We use the Develop-Distort Dilemma (DDD) framework to understand how the Global Polio Eradication Initiative (GPEI) distorted or developed local health systems. We include document review and 176 interviews with respondents at the global level and across seven focus countries (Afghanistan, Bangladesh, Democratic Republic of Congo, Ethiopia, India, Indonesia and Nigeria). We use DDD domains, contextual factors and transition planning to analyse interactions between the broader context, local health systems and the GPEI to identify changes. Our analysis confirms earlier research including improved health worker, laboratory and surveillance capacity, monitoring and accountability, and efforts to reach vulnerable populations, whereas distortions include shifting attention from routine health services and distorting local payment and incentives structures. New findings highlight how global-level governance structures evolved and affected national actors; issues of country ownership, including for data systems, where the polio programme is not indigenously financed; how expectations of success have affected implementation at programme and community level; and unresolved tensions around transition planning. The decoupling of polio eradication from routine immunization, in particular, plays an outsize role in these issues as it removed attention from system strengthening. In addition to drawing lessons from the GPEI experience for other efforts, we also reflect on the use of the DDD framework for assessing programmes and their system-level impacts. Future eradication efforts should be approached carefully, and new initiatives of any kind should leverage the existing health system while considering equity, inclusion and transition from the start.


Asunto(s)
Erradicación de la Enfermedad , Poliomielitis , Afganistán , Bangladesh , Congo , Etiopía , Salud Global , Humanos , Programas de Inmunización , India , Indonesia , Nigeria , Poliomielitis/prevención & control
3.
Indian J Dent Res ; 31(4): 546-549, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-33107454

RESUMEN

BACKGROUND: Diabetes is a metabolic disorder, which affects almost all parts of body. Dental problems remain neglected among diabetics which could have negative impact on health and if untreated could lead to financial loss in treatment of diseases. AIMS: To compare the risk, quality of life (QOL), and direct cost of dental problems between cases and controls. METHODS: A hospital-based case control study in a tertiary care hospital of Uttarakhand, India. RESULTS: The risk of comorbidities of dental problem was 1.8 times higher as compared with controls. Twenty-six percent of cases were found to be suffering from one or the other type of dental problems as compared with 16.4% among controls. The direct cost expenditure among cases was significantly higher as compared with controls. LIMITATIONS: The QOL scores and the cost of treatment obtained could be an overestimate as some of the participants with dental problems also had comorbidities related to other systems of the body. CONCLUSION: The risk of dental problems and the direct cost was reported to be significantly higher among cases as compared with controls.


Asunto(s)
Diabetes Mellitus , Calidad de Vida , Estudios de Casos y Controles , Comorbilidad , Diabetes Mellitus/epidemiología , Humanos , India/epidemiología
4.
Cent Asian J Glob Health ; 4(2): 218, 2015.
Artículo en Inglés | MEDLINE | ID: mdl-29138722

RESUMEN

BACKGROUND: Non-communicable diseases account for a significant disease burden in the South East Asia region. India is facing an increased incidence of lifestyle-related diseases, such as cardiovascular disease. Socioeconomic and lifestyle risk factors for cardiovascular disease (CVD) have been under investigated in India. This study was designed to explore risk factors contributing to the development of cardiovascular disease among Indian males. METHODS: A population-based cross-sectional study was conducted among 2,235 males in the age group of 18-60 years across three states of India. A household survey was used to collect demographic and socioeconomic status information in addition to lifestyle-related attributes such as smoking, alcohol consumption, diet, and physical activity. Descriptive statistics and logistic regression were performed to identify the role of various factors that may be associated with the development of cardiovascular disease in this population. RESULTS: The prevalence of cardiovascular disease among the male respondents contacted through a household survey was reported to be 9.8%. Logistic regression revealed that males with higher education and higher income were more likely to report CVD. With age as a strong predictor of CVD, the risk of CVD was found to be five times higher in the older age group. Current smokers were 1.3 times more likely to have CVD compared to those who never smoked. Those who were engaged in physical activity were less likely to have CVD; however, the adverse effects of smoking and excessive consumption of red meat showed a stronger association with CVD than the protective effects of physical activity. CONCLUSION: In developing countries, where the increase in earning capacity and change in lifestyle has been found to be accompanied by substantial risk of heart disease for males, public health measures like health promotion programs need to be implemented to decrease CVD burden.

6.
Indian J Public Health ; 56(4): 281-5, 2012.
Artículo en Inglés | MEDLINE | ID: mdl-23354138

RESUMEN

AIM: To develop a prediction model for dengue fever/dengue haemorrhagic fever (DF/DHF) using time series data over the past decade in Rajasthan and to forecast monthly DF/DHF incidence for 2011. MATERIALS AND METHODS: Seasonal autoregressive integrated moving average (SARIMA) model was used for statistical modeling. RESULTS: During January 2001 to December 2010, the reported DF/DHF cases showed a cyclical pattern with seasonal variation. SARIMA (0,0,1) (0,1,1) 12 model had the lowest normalized Bayesian information criteria (BIC) of 9.426 and mean absolute percentage error (MAPE) of 263.361 and appeared to be the best model. The proportion of variance explained by the model was 54.3%. Adequacy of the model was established through Ljung-Box test (Q statistic 4.910 and P-value 0.996), which showed no significant correlation between residuals at different lag times. The forecast for the year 2011 showed a seasonal peak in the month of October with an estimated 546 cases. CONCLUSION: Application of SARIMA model may be useful for forecast of cases and impending outbreaks of DF/DHF and other infectious diseases, which exhibit seasonal pattern.


Asunto(s)
Dengue/epidemiología , Teorema de Bayes , Predicción/métodos , Humanos , Incidencia , India/epidemiología , Estaciones del Año , Agrupamiento Espacio-Temporal
7.
Womens Health Issues ; 20(1): 80-5, 2010.
Artículo en Inglés | MEDLINE | ID: mdl-20123178

RESUMEN

BACKGROUND: Reduction in maternal and child mortality has been a top priority in India, especially in light of the commitment on the part of the national government to the reach the Millennium Development Goals. Despite massive program efforts and availability of technology needed to avert maternal deaths, the maternal mortality ratio (MMR) in India continues to be high. Population-based estimates of MMR are lacking, and reliable evidence of role of socioeconomic determinants and program-related factors that mediate medical causes is not available. The present study was conducted to develop population-based estimates of MMR, and to evaluate the primary causes of maternal deaths and factors associated with excess risk of maternal mortality. METHODS: The study was conducted in the state of Rajasthan in India, covering 25,926 households in 411 villages. It has two major components: a community-based household survey and a case-control study with cases and controls sampled from the same population. A total of 32 maternal deaths and 6,165 live births were identified. The group of women who died during pregnancy or delivery (cases) is compared with a group of women who gave birth and survived (controls). RESULTS: MMR was estimated to be 519 (95% confidence interval [CI], 477-561). Hemorrhage was the chief cause (31%) of maternal deaths; the other causes were obstructed labor, severe anemia, puerperal sepsis, and abortion. Young age at child birth (odds ratio [OR], 2.6; 95% CI, 1.9-3.2) and poverty (OR, 2.5; 95% CI, 1.6-3.4) were independently associated with increased risk of maternal death. Presence of complications during antenatal period was an important predictor of maternal death (OR, 7.8; 95% CI, 6.8-8.8). Childbirth at home (OR, 4.4; 95% CI, 3.3-5.5) was associated with increased risk of maternal death. The study provides clear evidence for renewed program efforts and strategies for reducing complications and maternal deaths.


Asunto(s)
Parto Obstétrico/estadística & datos numéricos , Mortalidad Materna , Bienestar Materno/estadística & datos numéricos , Complicaciones del Trabajo de Parto/mortalidad , Adulto , Estudios de Casos y Controles , Causas de Muerte , Recolección de Datos/estadística & datos numéricos , Clima Desértico , Femenino , Humanos , India/epidemiología , Servicios de Salud Materna/organización & administración , Hemorragia Posparto/mortalidad , Embarazo , Complicaciones del Embarazo/mortalidad , Embarazo de Alto Riesgo , Atención Prenatal/estadística & datos numéricos , Factores de Riesgo , Factores Socioeconómicos , Adulto Joven
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