9 resultados para Malaria-associated deaths
em DigitalCommons@The Texas Medical Center
Resumo:
Diarrhea disease is a leading cause of morbidity and mortality, especially in children in developing countries. An estimate of the global mortality caused by diarrhea among children under five years of age was 3.3 million deaths per year. Cryptosporidium parvum was first identified in 1907, but it was not until 1970 that this organism was recognized as a cause of diarrhea in calves. Then it was as late as 1976 that the first reported case of human Cryptosporidiosis occurred. This study was conducted to ascertain the risk factors of first symptomatic infection with Cryptosporidium parvum in a cohort of infants in a rural area of Egypt. The cohort was followed from birth through the first year of life. Univariate and multivariate analyses of data demonstrated that infants greater than six months of age had a two-fold risk of infection compared with infants less than six months of age (RR = 2.17; 95% C.I. = 1.01-4.82). When stratified, male infants greater than six months of age were four times more likely to become infected than male infants less than six months of age. Among female infants, there was no difference in risk between infants greater than six months of age and infants less than six months of age. Female infants less than six months of age were twice more likely to become infected than male infants less than six months of age. The reverse occurred for infants greater than six months of age, i.e., male infants greater than six months of age had twice the risk of infection compared to females of the same age group. Further analysis of the data revealed an increased risk of Cryptosporidiosis infection in infants who were attended in childbirth by traditional childbirth attendants compared to infants who were attended by modern childbirth attendants (nurses, trained midwives, physicians) (RR = 4. 18; 95% C.I. = 1.05-36.06). The final risk factor of significance was the number of people residing in the household. Infants in households which housed more than seven persons had an almost two-fold risk of infection compared with infants in homes with fewer than seven persons. Other risk factors which suggested increased risk were lack of education among the mothers, absence of latrines and faucets in the homes, and mud used as building material for walls and floors in the homes. ^
Resumo:
Malaria poses a significant public health problem worldwide. The World Health Organization indicates that approximately 40% of the world's population and almost 85% of the population from the South–East Asian region is at risk of contracting malaria. India being the most populous country in the region, contributes the highest number of malaria cases and deaths attributed to malaria. Orissa is the state that has the highest number of malaria cases and deaths attributable to malaria. A secondary data analysis was carried out to evaluate the effectiveness of the World bank-assisted Malaria Action Program in the state of Orissa under the health sector reforms of 1995-96. The secondary analysis utilized the government of India's National Anti Malaria Management Information System's (NAMMIS) surveillance data and the National Family Health Survey (NFHS–I and NFHS–II) datasets to compare the malaria mortality and morbidity in the state between 1992-93 and 1998-99. Results revealed no effect of the intervention and indicated an increase of 2.18 times in malaria mortality between 1992-1999 and an increase of 1.53 times in malaria morbidity between 1992-93 and 1998-99 in the state. The difference in the age-adjusted malaria morbidity in the state between the time periods of 1992-93 and 1998-99 proved to be highly significant (t = 4.29 df=16, p<. 0005) whereas the difference between the increase of age-adjusted malaria morbidity during 1992-93 and 1998-99 between Orissa (with intervention) and Bihar (no intervention) proved to be non significant (t=.0471 df=16, p<.50). Factors such as underutilization of World Bank funds for the malaria control program, inadequate health care infrastructure, structural adjustment problems, poor management, poor financial management, parasite resistance to anti-malarial drugs, inadequate supply of drugs and staff shortages may have contributed to the failure of the program in the state.^
Resumo:
Introduction. Injury mortality was classically described with a tri-modal distribution, with immediate deaths at the scene, early deaths due to hemorrhage, and late deaths from organ failure. We hypothesized that trauma systems development have improved pre-hospital care, early resuscitation, and critical care, and altered this pattern. ^ Methods. This is a population-based study of all trauma deaths in an urban county with a mature trauma system (n=678, median age 33 years, 81% male, 43% gunshot, 20% motor vehicle crashes). Deaths were classified as immediate (scene), early (in hospital, ≤ 4 hours from injury), or late (>4 hours post injury). Multinomial regression was used to identify independent predictors of immediate and early vs. late deaths, adjusted for age, gender, race, intention, mechanism, toxicology and cause of death. ^ Results. There were 416 (61%) immediate, 199 (29%) early, and 63 (10%) late deaths. Immediate deaths remained unchanged and early deaths occurred much earlier (median 52 minutes vs. 120). However, unlike the classic trimodal distribution, there was no late peak. Intentional injuries, alcohol intoxication, asphyxia, and injuries to the head and chest were independent predictors of immediate deaths. Alcohol intoxication and injuries to the chest were predictors of early deaths, while pelvic fractures and blunt assaults were associated with late deaths. ^ Conclusion. Trauma deaths now have a bimodal distribution. Elimination of the late peak likely represents advancements in resuscitation and critical care that have reduced organ failure. Further reductions in mortality will likely come from prevention of intentional injuries, and injuries associated with alcohol intoxication. ^
Resumo:
The objective of this program is to reduce malaria incidence in Kenya. Malaria poses a large public health challenge in Kenya, and although public health efforts have traditionally been focused on treatment of infected patients, due to increased drug resistance and lack of drug-adherence, prevention strategies are needed. This program targets Kenyan women, the likely caretakers in the home, and promotes malaria prevention behaviors through health education. ^ A planning group will be assembled and a needs assessment will be performed, verifying risk factors and conditions associated with malaria, as well as personal and external determinants. Behavioral and environmental outcomes will be determined, and performance objectives for each outcome will be established. Matrices of change objectives will be created, and detailed methods and strategies will be linked to each change objective. Program elements include media, education, and incentives. All materials used in this program will be subjected to pre-test to ensure cultural relevance and fidelity. Matrices of change objectives will be created for program adopters and implementers, as well as correlating methods and strategies associated with each change objective. Performance objectives will also be compiled for program maintainers. A program evaluation plan will follow "Pre-Post Comparison Group" design. Outcome evaluation and process evaluation will be conducted. The sample population will be screened based on age and gender so as to maintain comparability to the target population. Measurements will be taken before the program to establish baseline, directly following the program to determine short-term effects, and three months after the program is completed to determine long-term effects. ^ One limitation of this program is selection bias, due to the nature of quasi-experimental studies. Thorough screening prior to sample selection will minimize selection bias and ensure group homogeneity. Another limitation is attrition, and this will be minimized where possible through the use of incentives. In cases where loss to follow-up is not avoidable, such as death or natural disasters, the attrition effect will be estimated using structural equation modeling after reviewing the sample size, differential attrition and total attrition. ^ This intervention is based heavily on health promotion theories, but it is important to remember that in the field, the program plan will likely include only the necessary practical strategies. The target population, Kenyan women of childbearing age, will be significant in decreasing the malaria disease burden in Kenya.^
Resumo:
According to the United Nations Program on HIV/AIDS (UNAIDS, 2008), in 2007 about 67 per cent of all HIV-infected patients in the world were in Sub-Saharan Africa, with 35% of new infections and 38% of the AIDS deaths occurring in Southern Africa. Globally, the number of children younger than 15 years of age infected with HIV increased from 1.6 million in 2001 to 2.0 million in 2007 and almost 90% of these were in Sub-Saharan Africa. (UNAIDS, 2008).^ Both clinical and laboratory monitoring of children on Highly Active Anti-Retroviral Therapy (HAART) are important and necessary to optimize outcomes. Laboratory monitoring of HIV viral load and genotype resistance testing, which are important in patient follow-up to optimize treatment success, are both generally expensive and beyond the healthcare budgets of most developing countries. This is especially true for the impoverished Sub-Saharan African nations. It is therefore important to identify those factors that are associated with virologic failure in HIV-infected Sub-Saharan African children. This will inform practitioners in these countries so that they can predict which patients are more likely to develop virologic failure and therefore target the limited laboratory monitoring budgets towards these at-risk patients. The objective of this study was to examine those factors that are associated with virologic failure in HIV-infected children taking Highly Active Anti-retroviral Therapy in Botswana, a developing Sub-Saharan African country. We examined these factors in a Case-Control study using medical records of HIV-infected children and adolescents on HAART at the Botswana-Baylor Children's Clinical Center of Excellence (BBCCCOE) in Gaborone, Botswana. Univariate and Multivariate Regression Analyses were performed to identify predictors of virologic failure in these children.^ The study population comprised of 197 cases (those with virologic failure) and 544 controls (those with virologic success) with ages ranging from 3 months to 16 years at baseline. Poor adherence (pill count <95% on at least 3 consecutive occasions) was the strongest independent predictor of virologic failure (adjusted OR = 269.97, 95% CI = 104.13 to 699.92; P < 0.001). Other independent predictors of virologic failure identified were: First Line NNRTI with Nevirapine (OR = 2.99, 95% CI = 1.19 to7.54; P = 0.020), Baseline HIV-1 Viral Load >750,000/ml (OR = 257, 95% CI = 1.47 to 8.63; P = 0.005), Positive History of PMTCT (OR = 11.65, 95% CI = 3.04-44.57; P < 0.001), Multiple Care-givers (>=3) (OR = 2.56, 95% CI = 1.06 to 6.19; P = 0.036) and Residence in a Village (OR = 2.85, 95% CI = 1.36 to 5.97; P = 0.005).^ The results of this study may help to improve virologic outcomes and reduce the costs of caring for HIV-infected children in resource-limited settings. ^ Keywords: Virologic Failure, Highly Active Anti-Retroviral Therapy, Sub-Saharan Africa, Children, Adherence.^
Resumo:
Background/objective. Several studies have found an increased risk of pancreatic cancer in veterans deployed to Vietnam during the Vietnam War. Diabetes, a known risk factor for pancreatic cancer, has been designated as a service-connected illness in deployed Vietnam veterans. The majority of Vietnam veterans, now between the ages of 55 to 65, have not yet reached the ages of pancreatic cancer’s greatest prevalence, ages 65 to 79. This case-control study utilized 1998 electronic Texas death certificate data for white, black and Hispanic men to explore the question of whether military service was a risk factor for deaths due to pancreatic cancer among men who died in 1998.^ Methods. The primary study included men born between 1927 and 1953, and was a matched case-control study with two control groups; 431 pancreatic cancer cases were birth-year and race-matched one case to two non-neoplastic death controls and, for the second control group, were matched 1:1 with 431 accidental death controls. The exposure was military service, recorded as “yes”, “no” or “unknown” on the death certificate. Conditional logistic regression was used for the data analysis. Logistic regression was used in two additional unmatched analyses to examine the same exposure, military service, within different birth cohorts, again using pancreatic cancer cases with non-neoplastic and accidental death controls.^ Results. For pancreatic cancer cases matched to non-neoplastic controls, the association with military service showed an elevated odds ratio (OR) of 1.40 (95% confidence interval [CI] 1.10-1.79); matched to accidental death controls, a similar association with military service was detected [OR=1.40 (95% CI 1.04-1.89)]. The association was not seen in all time periods and was greatest for those within a birth cohort specific for Vietnam Era service. For men born between 1946 and 1950, OR=1.90 (95% CI 1.03-3.50) for comparison with non-neoplastic controls and OR=1.91 (95% CI 0.9995-3.64) for accidental death controls. ^ Conclusion. In Texas, for men aged 44-71, who died in 1998, military service was associated with an approximately 40% increased risk for pancreatic cancer. For men ages 48-52, military service was associated with an approximately 90% increased risk for pancreatic cancer.^
Resumo:
Introduction: HIV-associated malignancies such as Kaposi’s sarcoma and Non-Hodgkin’s lymphoma occur in children and usually lead to significant morbidity and mortality. No studies have been done to establish prevalence and outcome of these malignancies in children in a hospital setting in Uganda. ^ Research question: What proportion of children attending the Baylor-Uganda COE present with HIV-associated malignancies and what are the characteristics and outcome of these malignancies? The objective was to determine the prevalence, associated factors and outcome of HIV-associated malignancies among children attending the Baylor-Uganda Clinic in Kampala, Uganda. Study Design: This was a retrospective case series involving records review of patients who presented to the Baylor-Clinic between January 2004 and December 2008. Study Setting: The Baylor-Uganda Clinic, where I worked as a physician before coming to Houston, is a well funded, well staffed; Pediatric HIV clinic located in Mulago Hospital, Kampala, Uganda and is affiliated to Makerere University Medical School. Study Participants: Medical charts of patients aged 6 weeks to 18 years who enrolled for care at the clinic during the years 2004 to 2008 were retrieved for data abstraction. Selection Criteria: Study participants had to be patients of Baylor-Uganda seen during the study period; they had to be aged 6 weeks to 18 years; and had to be HIV positive. Patients with incomplete data or whose malignancies were not confirmed by histology were excluded. Study Variables: Data on patient’s age, sex, diagnosis, type of malignancy, anatomic location of the malignancy; pathology report, baseline laboratory results and outcome of treatment, were abstracted. Data Analysis: Cross tabulation to determine associations between variables using Pearson’s chi square at 95% level of significance was done. Proportions of malignancies among different groups were determined. In addition, Kaplan Meier survival analysis and comparison of survival distributions using the log-rank test was done. Change in CD4 percentages from baseline was assessed with the Wilcoxon signed rank test. Results: The proportion of children with malignancies during the study period was found to be 1.65%. Only 2 malignancies: Kaposi’s sarcoma and Non-Hodgkin’s lymphoma were found. 90% of the malignancies were Kaposi’s sarcoma. Lymph node involvement in children with Kaposi’s sarcoma was common, but the worst prognosis was seen with visceral involvement. Deaths during follow-up were seen in the first few weeks to months. Upon starting treatment the CD4 cell percentage increased significantly from a baseline median of 6% to 14% at 6 months and 15.8% at 12 months of follow-up.^
Resumo:
Current measures of the health impact of epidemic influenza are focused on analyses of death certificate data which may underestimate the true health effect. Previous investigations of influenza-related morbidity have either lacked virologic confirmation of influenza activity in the community or were not population-based. Community virologic surveillance in Houston has demonstrated that influenza viruses have produced epidemics each year since 1974. This study examined the relation of hospitalized for Acute Respiratory Disease (ARD) to the occurrence of influenza epidemics. Considering only Harris County residents, a total of 13,297 ARD hospital discharge records from hospitals representing 48.4% of Harris County hospital beds were compiled for the period July 1978 through June 1981. Variables collected from each discharge included: age, sex, race, dates of admission and discharge, length of stay, discharge disposition and a maximum of five diagnoses. This three year period included epidemics caused by Influenza A/Brazil (H1N1), Influenza B/Singapore, Influenza A/England (H1N1) and Influenza A/Bangkok (H3N2).^ Correlations of both ARD and pneumonia or influenza hospitalizations with indices of community morbidity (specifically, the weekly frequency of virologically-confirmed influenza virus infections) are consistently strong and suggest that hospitalization data reflect the pattern of influenza activity derived from virologic surveillance.^ While 65 percent of the epidemic period hospital deaths occurred in patients who were 65 years of age or older, fewer than 25 percent of epidemic period ARD hospitalizations occurred in persons of that age group. Over 97 percent of epidemic period hospital deaths were accompanied by a chronic underlying illness, however, 45 percent of ARD hospitalizations during epidemics had no mention of underlying illness. Over 2500 persons, approximately 35 percent of all persons hospitalized during the three epidemics, would have been excluded in an analysis for high risk candidates for influenza prophylaxis.^ These results suggest that examination of hospitalizations for ARD may better define the population-at-risk for serious morbidity associated with epidemic influenza. ^
Resumo:
Cervical cancer is the leading cause of death and disease from malignant neoplasms among women in developing countries. Even though the Pap smear has significantly decreased the number of deaths from cervical cancer in the past years, it has its limitations. Researchers have developed an automated screening machine which can potentially detect abnormal cases that are overlooked by conventional screening. The goal of quantitative cytology is to classify the patient's tissue sample based on quantitative measurements of the individual cells. It is also much cheaper and potentially can take less time. One of the major challenges of collecting cells with a cytobrush is the possibility of not sampling any existing dysplastic cells on the cervix. Being able to correctly classify patients who have disease without the presence of dysplastic cells could improve the accuracy of quantitative cytology algorithms. Subtle morphologic changes in normal-appearing tissues adjacent to or distant from malignant tumors have been shown to exist, but a comparison of various statistical methods, including many recent advances in the statistical learning field, has not previously been done. The objective of this thesis is to use different classification methods applied to quantitative cytology data for the detection of malignancy associated changes (MACs). In this thesis, Elastic Net is the best algorithm. When we applied the Elastic Net algorithm to the test set, we combined the training set and validation set as "training" set and used 5-fold cross validation to choose the parameter for Elastic Net. It has a sensitivity of 47% at 80% specificity, an AUC 0.52, and a partial AUC 0.10 (95% CI 0.09-0.11).^