IMPORTANCE: Adults experiencing homelessness in the US face numerous challenges, including the management of chronic kidney disease (CKD). The extent of a potentially greater risk of adverse health outcomes in the population with CKD experiencing homelessness has not been adequately explored. OBJECTIVE: To evaluate the association between a history of homelessness and the risk of end-stage kidney disease (ESKD) and death among veterans with incident CKD. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was conducted between January 1, 2005, and December 31, 2017. Participants included veterans aged 18 years and older with incident stage 3 to 5 CKD utilizing the Veterans Health Administration health care network in the US. Patients were followed-up through December 31, 2018, for the occurrence of ESKD and death. Analyses were performed from September 2022 to October 2023. EXPOSURE: History of homelessness, based on utilization of homeless services in the Veterans Health Administration or International Classification of Diseases, Ninth Revision or International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes. Homelessness was measured during the 2-year baseline period prior to the index date of incident CKD. MAIN OUTCOMES AND MEASURES: The primary outcomes were ESKD, based on initiation of kidney replacement therapy, and all-cause death. Adjusted hazard ratios (HRs) were calculated to compare veterans with a history of homelessness with those without a history of homelessness. RESULTS: Among 836 361 veterans, the largest proportion were aged 65 to 74 years (274 371 veterans [32.8%]) or 75 to 84 years (270 890 veterans [32.4%]), and 809 584 (96.8%) were male. A total of 26 037 veterans (3.1%) developed ESKD, and 359 991 (43.0%) died. Compared with veterans who had not experienced homelessness, those with a history of homelessness showed a significantly greater risk of ESKD (adjusted HR, 1.15; 95% CI, 1.10-1.20). A greater risk of all-cause death was also observed (HR, 1.48; 95% CI, 1.46-1.50). After further adjustment for body mass index, comorbidities, and medication use, results were attenuated for all-cause death (HR, 1.09; 95% CI, 1.07-1.11) and were no longer significant for ESKD (HR, 1.04; 95% CI, 0.99-1.09). CONCLUSIONS AND RELEVANCE: In this cohort study of veterans with incident stage 3 to 5 CKD, a history of homelessness was significantly associated with a greater risk of ESKD and death, underscoring the role of housing as a social determinant of health.

BACKGROUND: Suicide is a leading cause of death worldwide. Journalistic reporting guidelines were created to curb the impact of unsafe reporting; however, how suicide is framed in news reports may differ by important characteristics such as the circumstances and the decedent's gender. OBJECTIVE: This study aimed to examine the degree to which news media reports of suicides are framed using stigmatized or glorified language and differences in such framing by gender and circumstance of suicide. METHODS: We analyzed 200 news articles regarding suicides and applied the validated Stigma of Suicide Scale to identify stigmatized and glorified language. We assessed linguistic similarity with 2 widely used metrics, cosine similarity and mutual information scores, using a machine learning-based large language model. RESULTS: News reports of male suicides were framed more similarly to stigmatizing (P<.001) and glorifying (P=.005) language than reports of female suicides. Considering the circumstances of suicide, mutual information scores indicated that differences in the use of stigmatizing or glorifying language by gender were most pronounced for articles attributing legal (0.155), relationship (0.268), or mental health problems (0.251) as the cause. CONCLUSIONS: Linguistic differences, by gender, in stigmatizing or glorifying language when reporting suicide may exacerbate suicide disparities.

Digital trace data and machine learning techniques are increasingly being adopted to predict suicide-related outcomes at the individual level; however, there is also considerable public health need for timely data about suicide trends at the population level. Although significant geographic variation in suicide rates exist by state within the United States, national systems for reporting state suicide trends typically lag by one or more years. We developed and validated a deep learning based approach to utilize real-time, state-level online (Mental Health America web-based depression screenings; Google and YouTube Search Trends), social media (Twitter), and health administrative data (National Syndromic Surveillance Program emergency department visits) to estimate weekly suicide counts in four participating states. Specifically, per state, we built a long short-term memory (LSTM) neural network model to combine signals from the real-time data sources and compared predicted values of suicide deaths from our model to observed values in the same state. Our LSTM model produced accurate estimates of state-specific suicide rates in all four states (percentage error in suicide rate of -2.768% for Utah, -2.823% for Louisiana, -3.449% for New York, and -5.323% for Colorado). Furthermore, our deep learning based approach outperformed current gold-standard baseline autoregressive models that use historical death data alone. We demonstrate an approach to incorporate signals from multiple proxy real-time data sources that can potentially provide more timely estimates of suicide trends at the state level. Timely suicide data at the state level has the potential to improve suicide prevention planning and response tailored to the needs of specific geographic communities.

RATIONALE & OBJECTIVE: While some evidence exists of increased dementia risk from anemia, it is unclear if this association persists among adults with CKD. Anemia may be a key marker for dementia among adults with CKD. We therefore evaluated if anemia is associated with an increased risk of dementia among adults with CKD. STUDY DESIGN: Retrospective cohort study. SETTING & PARTICIPANTS: The study included 620,095 veterans aged ≥45 years with incident stage 3 CKD (estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m(2)) between January 2005 and December 2016 in the US Veterans Health Administration system and followed through December 31, 2018 for incident dementia, kidney failure or death. EXPOSURES: Anemia was assessed based on the average of hemoglobin levels (g/L) during the two years prior to the date of incident CKD and categorized as normal, mild and moderate/severe anemia (≥12.0, 11.0-11.9, <11.0 g/dL, respectively for women and ≥13.0, 11.0-12.9, <11.0 g/dL for men). OUTCOMES: Dementia and the composite outcome of kidney failure or death. ANALYTICAL APPROACH: Adjusted cause-specific hazard ratios were estimated for each outcome. RESULTS: At the time of incident CKD, mean age was 72 years, 97% were male, and mean eGFR was 51 mL/min per 1.73 m(2). Over a median 4.1 years of follow-up, 92,306 (15%) veterans developed dementia before kidney failure or death. Compared to veterans with CKD without anemia, multivariable-adjusted models showed a 16% (95% confidence interval [CI] 14% to 17%) significantly higher risk of dementia for those with mild anemia and a 27% (95% CI 23% to 31%) higher risk with moderate/severe anemia. Combined risk of kidney failure or death was higher at 39% (95% CI 37% to 40%) and 115% (95% CI 112% to 119%) for mild and moderate/severe anemia, respectively, compared to no anemia. LIMITATIONS: Residual confounding from the observational study design. Findings may not be generalizable to the broader U.S. CONCLUSIONS: Anemia was significantly associated with increased risk of dementia among veterans with incident CKD, underscoring the role of anemia as a predictor of dementia risk.

Background: Women of reproductive age are at an increased risk of anemia and micronutrient deficiencies. Evidence supports the role of periconceptional nutrition in the development of neural tube defects (NTDs) and other pregnancy complications. Vitamin B12 deficiency is a risk factor for NTDs and may modify folate biomarkers that predict NTD risk at the population level. There is an interest in mandatory fortification with vitamin B12 and folic acid for anemia and birth defect prevention. However, there are limited population-representative data needed to inform policy and guidelines. Objectives: This randomized trial will be conducted to evaluate the efficacy of quadruple-fortified salt (QFS; iron, iodine, folic acid, vitamin B12) in 1,000 households in Southern India. Methods: Women 18 to 49 y who are not pregnant or lactating and reside within the catchment area of our community-based research site in Southern India will be screened and invited to participate in the trial. After informed consent, women and their households will be randomized to receive one of the following 4 interventions: 1) double-fortified salt (DFS; iron, iodine), 2) DFS + folic acid (iron, iodine, folic acid), 3) DFS + vitamin B12 (iron, iodine, vitamin B12), or 4) DFS + folic acid and vitamin B12 (QFS; iron, iodine, folic acid, vitamin B12) for 12 mo. Structured interviews will be conducted by trained nurse enumerators to collect sociodemographic, anthropometric, dietary, health, and reproductive history data. Biological samples will be collected at baseline, midpoint, and endpoint. Whole blood will be analyzed for hemoglobin using Coulter Counter. Total vitamin B12 will be measured by chemiluminescence; red blood cell folate and serum folate will be evaluated using the World Health Organization-recommended microbiologic assay. Conclusions: The results of this randomized trial will help to evaluate the efficacy of QFS to prevent anemia and micronutrient deficiencies. Clinical trial registration numbers: NCT03853304 and Clinical Trial Registry of India REF/2019/03/024479. Registration number: NCT03853304 and REF/2019/03/024479. © 2023 The Author(s)

INTRODUCTION: Mortality is an important long-term indicator of the public health impact of chronic kidney disease (CKD). We investigated the role of individual comorbidities and multimorbidity on age-specific mortality risk among US veterans with new-onset CKD. METHODS: The cohort included 892,005 veterans aged 18 years with incident CKD stage 3 between January 2004 and April 2018 in the US Veterans Health Administration (VHA) system and followed until death, December 2018, or up to 10 years. Incident CKD was defined as the first-time estimated glomerular filtration rate (eGFR) was <60 mL/min/1.73 m2 for >3 months. Comorbidities were ascertained using inpatient and outpatient clinical records in the VHA system and Medicare claims. We estimated death rates for any cardiovascular disease (CVD, a composite of 6 CVD conditions) and 15 non-CVD comorbidities, and adjusted risks of death (hazard ratio [HR], 95% confidence interval [CI]) overall and by age group at CKD incidence. RESULTS: At CKD incidence, the mean age was 72 years, and 97% were male; the mean eGFR was 52 mL/min/1.73 m2, and 95% had 2 comorbidities (median, 4) in addition to CKD. During a median follow-up of 4.5 years, among the 16 comorbidities, CVD was associated with the highest relative risk of death in younger veterans (HR 1.96 [95% CI: 1.61-2.37] in ages 18-44 years and HR 1.66 [1.63-1.70] in ages 45-64 years). Dementia was associated with the highest relative risk of death among older veterans (HR 1.71 [1.68-1.74] in ages 65-84 years and HR 1.69 [1.65-1.73] in ages 85-100 years). The additive effect of multimorbidity on risk of death was stronger in younger than older veterans. Compared to having 1 or no comorbidity at CKD onset, the risk of death with 5 comorbidities was >7-fold higher among veterans aged 18-44 years and >2-fold higher among veterans aged 85-100 years. CONCLUSION: The large burden of comorbidities in US veterans with newly identified CKD places them at the risk of premature death. Compared with older veterans, younger veterans with multiple comorbidities, particularly with CVD, at CKD onset are at an even higher relative risk of death.

Generally, hypertension control programs are cost-effective, including in low- and middle-income countries, but country governments and civil society are not likely to support hypertension control programs unless value is demonstrated in terms of public health benefits, budget impact, and value-for-investment for the individual country context. The World Health Organization (WHO) and the Pan American Health Organization (PAHO) established a standard, simplified Global HEARTS approach to hypertension control, including preferred antihypertensive medicines and blood pressure measurement devices. The objective of this study is to report on health economic studies of HEARTS hypertension control package cost (especially medication costs), cost-effectiveness, and budget impact and describe mathematical models designed to translate hypertension control program data into the optimal approach to hypertension care service delivery and financing, especially in low- and middle-income countries. Early results suggest that HEARTS hypertension control interventions are either cost-saving or cost-effective, that the HEARTS package is affordable at between US$ 18-44 per person treated per year, and that antihypertensive medicines could be priced low enough to reach a global standard of an average <US$ 5 per patient per year in the public sector. This health economic evidence will make a compelling case for government ownership and financial support for national scale hypertension control programs.

OBJECTIVE: To estimate the costs of scaling up the HEARTS pilot project for hypertension management and risk-based cardiovascular disease (CVD) prevention at the full population level in the four subdistricts (upazilas) in Bangladesh. SETTINGS: Two intervention scenarios in subdistrict health complexes: hypertension management only, and risk-based integrated hypertension, diabetes, and cholesterol management. DESIGN: Data obtained during July-August 2020 from subdistrict health complexes on the cost of medications, diagnostic materials, staff salaries and other programme components. METHODS: Programme costs were assessed using the HEARTS costing tool, an Excel-based instrument to collect, track and evaluate the incremental annual costs of implementing the HEARTS programme from the health system perspective. PRIMARY AND SECONDARY OUTCOME MEASURES: Programme cost, provider time. RESULTS: The total annual cost for the hypertension control programme was estimated at US$3.2million, equivalent to US$2.8 per capita or US$8.9 per eligible patient. The largest cost share (US$1.35million; 43%) was attributed to the cost of medications, followed by the cost of provider time to administer treatment (38%). The total annual cost of the risk-based integrated management programme was projected at US$14.4million, entailing US$12.9 per capita or US$40.2 per eligible patient. The estimated annual costs per patient treated with medications for hypertension, diabetes and cholesterol were US$18, US$29 and US$37, respectively. CONCLUSION: Expanding the HEARTS hypertension management and CVD prevention programme to provide services to the entire eligible population in the catchment area may face constraints in physician capacity. A task-sharing model involving shifting of select tasks from doctors to nurses and local community health workers would be essential for the eventual scale-up of primary care services to prevent CVD in Bangladesh.

BACKGROUND: About a fifth of adults in Bangladesh have hypertension; only 13% of Bangladesh adults living with hypertension have their blood pressure controlled (<140/90 mmHg). To address the growing burden of hypertension in low-income and middle-income countries, the WHO recommends implementing the HEARTS technical package. HEARTS outlines a practical approach to cardiovascular disease (CVD) prevention in primary care settings, including risk factor screening, diagnosis, treatment, and patient counseling. The Bangladesh Ministry of Health and Family Welfare and the National Heart Foundation of Bangladesh implemented the HEARTS programme in four district health complexes in Sylhet Division starting in 2019. To inform Bangladesh's health care policies, we translated Bangladesh HEARTS programme effectiveness and cost estimates into projections of national health and budget impact for nationwide programme scale-up. METHODS: We used an interactive, web-based model to project CVD deaths averted based on observed facility-based hypertension control rates and used local costs to obtain budget impact estimates of national HEARTS programme implementation. We also explored three alternative scenarios: reducing medication costs by 50%, increasing team-based care with larger roles for nurses and community health workers, and removing laboratory costs. Relative improvement in hypertension control observed in the HEARTS programme (from 26% to 46% in the four districts over 24 months) was applied to the 13% baseline national control rate resulting in a projected improvement to 33% at national scale. The costs of the hypertension programme were quantified with a standard HEARTS costing tool that was deployed in the four district health complexes. The costing tool recorded and calculated unit costs for hypertension screening, CVD risk assessment, health-care worker time or compensation, and drug prices. FINDINGS: An absolute improvement of 20 percentage points in the national hypertension control rate, from 13% to 33%, would save 9400 lives. Extrapolating local programme costs to the national level resulted in a budget of US$599 million by 2030. Reducing medication costs would lower the budget impact by 42·6%. Increasing team-based care would not substantively affect the cost. Removing laboratory costs would lower the budget by 14%. Combining these innovations would lower the projected cost by 56·9%. INTERPRETATION: Implementing the HEARTS programme in Bangladesh might improve hypertension control and save 9400 lives at a budget impact of $599 million by 2030. Increased task sharing and lower medication prices have potential to reduce costs and make reaching hypertension control goals more affordable and sustainable for Bangladesh. FUNDING: Columbia University Global & Population Health Summer Research Fellowship.

BACKGROUND: Expanding access to and use of medication for opioid use disorder (MOUD) is a key component of overdose prevention. An important barrier to the uptake of MOUD is exposure to inaccurate and potentially harmful health misinformation on social media or web-based forums where individuals commonly seek information. There is a significant need to devise computational techniques to describe the prevalence of web-based health misinformation related to MOUD to facilitate mitigation efforts. OBJECTIVE: By adopting a multidisciplinary, mixed methods strategy, this paper aims to present machine learning and natural language analysis approaches to identify the characteristics and prevalence of web-based misinformation related to MOUD to inform future prevention, treatment, and response efforts. METHODS: The team harnessed public social media posts and comments in the English language from Twitter (6,365,245 posts), YouTube (99,386 posts), Reddit (13,483,419 posts), and Drugs-Forum (5549 posts). Leveraging public health expert annotations on a sample of 2400 of these social media posts that were found to be semantically most similar to a variety of prevailing opioid use disorder-related myths based on representational learning, the team developed a supervised machine learning classifier. This classifier identified whether a post's language promoted one of the leading myths challenging addiction treatment: that the use of agonist therapy for MOUD is simply replacing one drug with another. Platform-level prevalence was calculated thereafter by machine labeling all unannotated posts with the classifier and noting the proportion of myth-indicative posts over all posts. RESULTS: Our results demonstrate promise in identifying social media postings that center on treatment myths about opioid use disorder with an accuracy of 91% and an area under the curve of 0.9, including how these discussions vary across platforms in terms of prevalence and linguistic characteristics, with the lowest prevalence on web-based health communities such as Reddit and Drugs-Forum and the highest on Twitter. Specifically, the prevalence of the stated MOUD myth ranged from 0.4% on web-based health communities to 0.9% on Twitter. CONCLUSIONS: This work provides one of the first large-scale assessments of a key MOUD-related myth across multiple social media platforms and highlights the feasibility and importance of ongoing assessment of health misinformation related to addiction treatment.

BACKGROUND: Online communities provide support for individuals looking for help with suicidal ideation and crisis. As community data are increasingly used to devise machine learning models to infer who might be at risk, there have been limited efforts to identify both risk and protective factors in web-based posts. These annotations can enrich and augment computational assessment approaches to identify appropriate intervention points, which are useful to public health professionals and suicide prevention researchers. OBJECTIVE: This qualitative study aims to develop a valid and reliable annotation scheme for evaluating risk and protective factors for suicidal ideation in posts in suicide crisis forums. METHODS: We designed a valid, reliable, and clinically grounded process for identifying risk and protective markers in social media data. This scheme draws on prior work on construct validity and the social sciences of measurement. We then applied the scheme to annotate 200 posts from r/SuicideWatch-a Reddit community focused on suicide crisis. RESULTS: We documented our results on producing an annotation scheme that is consistent with leading public health information coding schemes for suicide and advances attention to protective factors. Our study showed high internal validity, and we have presented results that indicate that our approach is consistent with findings from prior work. CONCLUSIONS: Our work formalizes a framework that incorporates construct validity into the development of annotation schemes for suicide risk on social media. This study furthers the understanding of risk and protective factors expressed in social media data. This may help public health programming to prevent suicide and computational social science research and investigations that rely on the quality of labels for downstream machine learning tasks.

IMPORTANCE: Suicide is a leading cause of death in the US. However, official national statistics on suicide rates are delayed by 1 to 2 years, hampering evidence-based public health planning and decision-making. OBJECTIVE: To estimate weekly suicide fatalities in the US in near real time. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional national study used a machine learning pipeline to combine signals from several streams of real-time information to estimate weekly suicide fatalities in the US in near real time. This 2-phase approach first fits optimal machine learning models to each individual data stream and subsequently combines predictions made from each data stream via an artificial neural network. National-level US administrative data on suicide deaths, health services, and economic, meteorological, and online data were variously obtained from 2014 to 2017. Data were analyzed from January 1, 2014, to December 31, 2017. EXPOSURES: Longitudinal data on suicide-related exposures were obtained from multiple, heterogeneous streams: emergency department visits for suicide ideation and attempts collected via the National Syndromic Surveillance Program (2015-2017); calls to the National Suicide Prevention Lifeline (2014-2017); calls to US poison control centers for intentional self-harm (2014-2017); consumer price index and seasonality-adjusted unemployment rate, hourly earnings, home price index, and 3-month and 10-year yield curves from the Federal Reserve Economic Data (2014-2017); weekly daylight hours (2014-2017); Google and YouTube search trends related to suicide (2014-2017); and public posts on suicide on Reddit (2 314 533 posts), Twitter (9 327 472 tweets; 2015-2017), and Tumblr (1 670 378 posts; 2014-2017). MAIN OUTCOMES AND MEASURES: Weekly estimates of suicide fatalities in the US were obtained through a machine learning pipeline that integrated the above data sources. Estimates were compared statistically with actual fatalities recorded by the National Vital Statistics System. RESULTS: Combining information from multiple data streams, the machine learning method yielded estimates of weekly suicide deaths with high correlation to actual counts and trends (Pearson correlation, 0.811; P < .001), while estimating annual suicide rates with low error (0.55%). CONCLUSIONS AND RELEVANCE: The proposed ensemble machine learning framework reduces the error for annual suicide rate estimation to less than one-tenth of that of current forecasting approaches that use only historical information on suicide deaths. These findings establish a novel approach for tracking suicide fatalities in near real time and provide the potential for an effective public health response such as supporting budgetary decisions or deploying interventions.

Setting: Nine district-level microscopy centres in Assam and Tripura, India. Objective: Same-day sputum microscopy is now recommended for tuberculosis (TB) diagnosis. We compared this method against the conventional 2-day approach in routine programmatic settings. Methods: During October-December 2012, all adult presumptive TB patients were requested to provide three sputum samples (one at the initial visit, the second 1 h after the first sample, and the third the next morning) for examination by Ziehl-Neelsen smear microscopy. Detection of acid-fast bacilli with any sample was diagnostic. The first and second spot sample comprised the same-day approach, and the first spot sample and next-day sample comprised the 2-day approach. Results: Of 2168 presumptive TB patients, 403 (18.6%) were smear-positive according to the same-day method compared to 427 (19.7%) by the 2-day method (McNemar's test, P < 0.001). Of the total 429 TB patients, 26 (6.1%) were missed by the same-day method and 2 (0.5%) by the 2-day method. Conclusion: Same-day specimen collection for microscopy missed more TB than 2-day collection. In India, missing cases by using same-day microscopy would translate into a considerable absolute number, hindering TB control efforts. We question the indiscriminate switch to same-day diagnosis in settings where patients reliably return for testing the next day.

BACKGROUND: Methods based on spot urine samples (a single sample at one time-point) have been identified as a possible alternative approach to 24-hour urine samples for determining mean population salt intake. OBJECTIVE: The aim of this study is to identify a reliable method for estimating mean population salt intake from spot urine samples. This will be done by comparing the performance of existing equations against one other and against estimates derived from 24-hour urine samples. The effects of factors such as ethnicity, sex, age, body mass index, antihypertensive drug use, health status, and timing of spot urine collection will be explored. The capacity of spot urine samples to measure change in salt intake over time will also be determined. Finally, we aim to develop a novel equation (or equations) that performs better than existing equations to estimate mean population salt intake. METHODS: A systematic review and meta-analysis of individual participant data will be conducted. A search has been conducted to identify human studies that report salt (or sodium) excretion based upon 24-hour urine samples and spot urine samples. There were no restrictions on language, study sample size, or characteristics of the study population. MEDLINE via OvidSP (1946-present), Premedline via OvidSP, EMBASE, Global Health via OvidSP (1910-present), and the Cochrane Library were searched, and two reviewers identified eligible studies. The authors of these studies will be invited to contribute data according to a standard format. Individual participant records will be compiled and a series of analyses will be completed to: (1) compare existing equations for estimating 24-hour salt intake from spot urine samples with 24-hour urine samples, and assess the degree of bias according to key demographic and clinical characteristics; (2) assess the reliability of using spot urine samples to measure population changes in salt intake overtime; and (3) develop a novel equation that performs better than existing equations to estimate mean population salt intake. RESULTS: The search strategy identified 538 records; 100 records were obtained for review in full text and 73 have been confirmed as eligible. In addition, 68 abstracts were identified, some of which may contain data eligible for inclusion. Individual participant data will be requested from the authors of eligible studies. CONCLUSIONS: Many equations for estimating salt intake from spot urine samples have been developed and validated, although most have been studied in very specific settings. This meta-analysis of individual participant data will enable a much broader understanding of the capacity for spot urine samples to estimate population salt intake.

In 2013, the Government of Haiti implemented its first oral cholera vaccine (OCV) campaign in Petite Anse, an urban setting, and Cerca Carvajal, a rural commune. We conducted and compared responses to two independent cross-sectional knowledge and practices household surveys pre- (N = 297) and post- (N = 302) OCV campaign in Petite Anse. No significant differences in knowledge about causes, symptoms, and prevention of cholera were noted. Compared with precampaign respondents, fewer postcampaign respondents reported treating (66% versus 27%, P < 0.001) and covering (96% versus 89%, P = 0.02) their drinking water. Compared with precampaign, postcampaign survey household observations showed increased availability of soap (16.2% versus 34.5%, P = 0.001) and handwashing stations (14.7% versus 30.1%, P = 0.01), but no significant changes in handwashing practices were reported. Although there was no change in knowledge, significant decreases in water treatment practices necessary for cholera and other diarrheal diseases prevention were noted in the postcampaign survey. Future OCV campaigns in Haiti should be used as an opportunity to emphasize the importance of maintaining good water, sanitation, and hygiene practices, and include a comprehensive, integrated approach for cholera control.

T cell dysfunction is well documented during chronic viral infections but little is known about functional abnormalities in humoral immunity. Here we report that mice persistently infected with lymphocytic choriomeningitis virus (LCMV) exhibit a severe defect in Fcgamma-receptor (FcgammaR)-mediated antibody effector functions. Using transgenic mice expressing human CD20, we found that chronic LCMV infection impaired the depletion of B cells with rituximab, an anti-CD20 antibody widely used for the treatment of B cell lymphomas. In addition, FcgammaR-dependent activation of dendritic cells by agonistic anti-CD40 antibody was compromised in chronically infected mice. These defects were due to viral antigen-antibody complexes and not the chronic infection per se, because FcgammaR-mediated effector functions were normal in persistently infected mice that lacked LCMV-specific antibodies. Our findings have implications for the therapeutic use of antibodies and suggest that high levels of pre-existing immune complexes could limit the effectiveness of antibody therapy in humans.

BACKGROUND: Persons with primary immune deficiency disorders (PIDD) who receive oral poliovirus vaccine (OPV) may transmit immunodeficiency-associated vaccine-derived polioviruses (iVDPVs) and cause paralytic polio. The objective of this study was to identify children with PIDD in Bangladesh, and estimate the proportion with chronic poliovirus excretion. METHODS: Patients admitted at 5 teaching hospitals were screened for PIDD according to standardized clinical case definitions. PIDD was confirmed by age-specific quantitative immunoglobulin levels. Stool specimens were collected from patients with confirmed PIDD. RESULTS: From February 2011 through January 2013, approximately 96 000 children were screened, and 53 patients were identified who met the clinical case definition for PIDD. Thirteen patients (24%) had age-specific quantitative immunoglobulins results that confirmed PIDD. Of these, 9 (69%) received OPV 3-106 months before stool specimen collection. Among 11 patients, stool specimens from 1 patient tested positive for polioviruses 34 months after OPV ingestion. However, the poliovirus isolate was not available for genetic sequencing, and a subsequent stool specimen 45 days later was negative. CONCLUSIONS: The risk of chronic poliovirus excretion among children with PIDD in Bangladesh seems to be low. The national polio eradication program should incorporate strategies for screening for poliovirus excretion among patients with PIDD.

OBJECTIVES: The objectives of this study were to compare attitudes and perceptions of primary health center (PHC) physicians and pediatricians in Uttar Pradesh and Bihar toward polio disease, immunization, and eradication, and to identify barriers to polio eradication. METHODS: PHC physicians from blocks with at least one confirmed polio case during January 2006 to June 2009 were selected for an in-person survey. Pediatricians were members of the Indian Academy of Pediatrics and were selected from a national directory of members for telephone or mail survey. RESULTS: A higher percentage of PHC physicians than pediatricians reported that an unvaccinated child was susceptible to polio (82.1% vs. 63.0%, p<0.0001) and that polio disease was severe in a child aged 1-5 years (77.7% vs. 62.2%, p<0.0001). PHC physicians and pediatricians expressed confidence in the protectiveness and safety of oral polio vaccine and cited parents' lack of awareness of the importance of polio eradication as an important barrier to eradication. Strengthening routine immunization efforts was reported as the leading intervention required to eradicate polio. CONCLUSIONS: PHC physicians and pediatricians support and have confidence in the success of polio eradication efforts. These findings will be useful for policy-makers involved in the planning of eradication strategies. Providers and parents need to maintain confidence in polio vaccination if polio is to be eradicated.

BACKGROUND: India has some of the lowest immunization rates in the world. The objective of this study was to determine the attitudes and practices of pediatricians and physicians working in primary health centers (PHCs) regarding routine immunization and identify correlates of missed opportunities to vaccinate children. We focused on Uttar Pradesh and Bihar, which has faced some of the greatest challenges to achieving high routine immunization coverage. METHODS: A sample of pediatricians from Uttar Pradesh and Bihar was selected from the national membership of the Indian Academy of Pediatrics to participate in either a phone or mail survey. For the sampling frame, the PHCs within selected blocks were enumerated to provide a list from which individuals could be randomly sampled. In all, 614 PHCs in Uttar Pradesh and 159 PHCs were selected for in-person surveys. RESULTS: The response rate for pediatricians was 47% (238/505) and 93% for PHC physicians (719/773). The greatest barrier to vaccinating children with routine immunizations, reported by both pediatricians (95.7%) and PHC physicians (95.1%), was parents' lack of awareness of their importance. Correlates of missing an opportunity to vaccinate for PHC physicians included holding other health care workers responsible for vaccination. PHC physicians were 50% to 70% less likely to vaccinate a child themselves if they thought another type of health care worker was responsible. CONCLUSIONS: Future interventions to increase vaccination coverage should address parental knowledge about the importance of vaccines. Understanding and addressing factors associated with missed opportunities to vaccinate may help improve vaccine coverage in Uttar Pradesh and Bihar.

OBJECTIVE: To examine exposure to second-hand smoke (SHS) at home, in workplace, and in various public places in Bangladesh. MATERIALS AND METHODS: Data from 2009 Global Adult Tobacco Survey (GATS) conducted in Bangladesh was analyzed. The data consists of 9,629 respondents from a nationally representative multi-stage probability sample of adults aged 15 years and above. Exposure to second-hand smoke was defined as respondents who reported being exposed to tobacco smoke in the following locations: Indoor workplaces, homes, government building or office, health care facilities, public transportation, schools, universities, restaurants, and cafes, coffee shops or tea houses. Exposure to tobacco smoke in these places was examined by gender across various socioeconomic and demographic sub-groups that include age, residence, education and wealth index using SPSS 17.0 for complex samples. RESULTS: The study shows high prevalence of SHS exposure at home and in workplace and in public places. Exposure to SHS among adults was reported high at home (54.9%) (male-58.2% and female-51.7%), in workplace (63%) (male-67.8% and female-30.4%), and in any public place (57.8%) (male-90.4% and female-25.1%) 30 days preceding the survey. Among the public places examined exposure was low in the educational institutions (schools-4.3%) and health care facilities (5.8%); however, exposure was high in public transportation (26.3%), and restaurants (27.6%). SHS exposure levels at home, in workplace and public places were varied widely across various socioeconomic and demographic sub-groups. CONCLUSIONS: Exposure was reported high in settings having partial ban as compared to settings having a complete ban. Following the WHO FCTC and MPOWER measures, strengthening smoke-free legislation may further the efforts in Bangladesh towards creating and enforcing 100% smoke-free areas and educating the public about the dangers of SHS. Combining these efforts can have a complementary effect on protecting the people from hazardous effect of SHS as well as reducing the social acceptance of smoking both at home and in public and workplaces. Ongoing surveillance in Bangladesh is necessary to measure progress towards monitoring SHS exposure.

Secondary cell wall polysaccharides (SCWPs) are important structural components of the Bacillus cell wall and contribute to the array of antigens presented by these organisms in both spore and vegetative forms. We previously found that antisera raised to Bacillus anthracis spore preparations cross-reacted with SCWPs isolated from several strains of pathogenic B. cereus, but did not react with other phylogenetically related but nonpathogenic Bacilli, suggesting that the SCWP from B. anthracis and pathogenic B. cereus strains share specific structural features. In this study, SCWPs from three strains of B. cereus causing severe or fatal pneumonia (G9241, 03BB87 and 03BB102) were isolated and subjected to structural analysis and their structures were compared to SCWPs from B. anthracis. Complete structural analysis was performed for the B. cereus G9241 SCWP using NMR spectroscopy, mass spectrometry and derivatization methods. The analyses show that SCWPs from B. cereus G9241 has a glycosyl backbone identical to that of B. anthracis SCWP, consisting of multiple trisaccharide repeats of: -->6)-alpha-d-GlcpNAc-(1 --> 4)-beta-d-ManpNAc-(1 --> 4)-beta-d-GlcpNAc-(1-->. Both the B. anthracis and pathogenic B. cereus SCWPs are highly substituted at all GlcNAc residues with alpha- and beta-Gal residues, however, only the SCWPs from B. cereus G9241 and 03BB87 carry an additional alpha-Gal substitution at O-3 of ManNAc residues, a feature lacking in the B. anthracis SCWPs. Both the B. anthracis and B. cereus SCWPs are pyruvylated, with an approximate molecular mass of approximately 12,000 Da. The implications of these findings regarding pathogenicity and cell wall structure are discussed.