Hospitalization For Tuberculosis Research Articles

Retrospective analysis of diagnosis and treatment of tuberculosis in designated medical institutions in China from 2017 to 2022

Objective: To understand the status of tuberculosis diagnosis and treatment capacity and the development and changes of tuberculosis diagnosis and treatment in provincial and municipal designated medical institutions in China from 2017 to 2022, so as to provide a basis for the formulation of relevant policies for the improvement and development of designated medical institutions for tuberculosis and the tuberculosis prevention and treatment service system, and to provide reasonable support for further strengthening the capacity of designated medical institutions for tuberculosis. Methods: This study was initiated and carried out by Beijing Chest Hospital affiliated to Capital Medical University/Clinical Center for Tuberculosis Prevention and Control of China CDC (hereinafter referred to as "Clinical Center") by means of questionnaire survey, and the investigation was carried out from March to November 2023. During this period, the clinical center distributed questionnaires to the hospital member units of "Beijing Tuberculosis Diagnosis and Treatment Technology Innovation Alliance", retrospectively collected their tuberculosis-related diagnosis and treatment data from 2017 to 2022, and used descriptive statistical methods to analyze the number of tuberculosis beds, outpatients and hospitalizations in medical institutions. The results were expressed in absolute numbers (percentages), and three-line tables, bar charts and line charts were drawn to describe the analysis results and changing trends. Results: The 54 medical institutions surveyed in this survey included 21 provincial-level designated medical institutions and 33 prefecture-level designated medical institutions. Most medical institutions have set up clinical departments, auxiliary departments and functional departments to undertake public health tasks of infectious diseases. The tuberculosis laboratory in the hospital has a comprehensive ability and has the detection technology needed for most tuberculosis diagnosis; The number of tuberculosis beds, children's tuberculosis beds and ICU beds all showed an increasing trend from 2017 to 2022. The proportion of tuberculosis beds in the hospital decreased slightly, from 39.31% in 2017 to 34.76% in 2022, showing a slight downward trend. Compared with the hospital surveyed, the number of tuberculosis outpatients in 2019 was 562 029, and the number of outpatients in 2020-2022 was 462 328, 519 630 and 424 069 respectively, which was significantly lower than that in 2019. The number of tuberculosis outpatients in medical institutions decreased significantly from 2020 to 2022. By analyzing the proportion of patients with different types of tuberculosis, the proportion of sensitive tuberculosis outpatients in 2017-2022 decreased from 84.49% in 2017 to 78.05% in 2022, showing a downward trend year by year. The proportion of patients with multidrug-resistant/ rifampin-resistant tuberculosis increased from 2.03% in 2017 to 7.18% in 2022. From 2017 to 2019, the total number of inpatients with tuberculosis showed an upward trend. Compared with 2019, the number of inpatients in 2020, 2021 and 2022 showed a downward trend, and the decline in 2020 was large (down 14.94% compared with 2019). Among the inpatients, the absolute number and proportion of patients with sensitive pulmonary tuberculosis remained relatively stable, and the number and proportion of inpatients with multidrug-resistant/rifampin-resistant pulmonary tuberculosis increased year by year. Conclusions: Most medical institutions have the capacity to carry out routine diagnosis and treatment of tuberculosis, but the public health function needs to be strengthened. The transformation of medical institutions requires proper guidance and adequate support. During 2019-2022, most medical institutions were affected by the COVID-19 epidemic, and their tuberculosis diagnosis and treatment work also changed to varying degrees. During this period, hospitals took various measures to overcome difficulties and tried their best to maintain the normal development of tuberculosis diagnosis and treatment, and the tuberculosis diagnosis and treatment work of various institutions gradually resumed in 2022.

Tuberculosis Diagnostic Delays and Treatment Outcomes among Patients with COVID-19, California, USA, 2020.

We assessed tuberculosis (TB) diagnostic delays among patients with TB and COVID-19 in California, USA. Among 58 persons, 43% experienced TB diagnostic delays, and a high proportion (83%) required hospitalization for TB. Even when viral respiratory pathogens circulate widely, timely TB diagnostic workup for at-risk persons remains critical for reducing TB-related illness.

Hospitalizations for tuberculosis in Sicily over the years 2009–2021: Clinical features, comorbidities, and predictors of mortality

BackgroundVery few data are available in the literature regarding tuberculosis (TB) hospitalization, and few studies have reported the clinical characteristics and comorbidities of admitted patients and burden and cost of hospitalization. In our study, we described the occurrence of TB hospital admissions in the southern Italian region of Sicily over 13 years (2009–2021), explored the characteristics of patients with TB, and determined the comorbidities associated with mortality. MethodData on the hospital discharge of all patients with TB hospitalized in all Sicilian hospitals were retrospectively collected from hospital standard discharge forms. Age, sex, nationality, length of hospital stay, comorbidities, and TB localization were evaluated using univariate analysis according to in-hospital mortality. The factors associated with mortality were included in the logistic regression model. ResultsIn Sicily, 3745 people were hospitalized for TB, with 5239 admissions and 166 deaths from 2009 to 2021. Most hospitalizations involved Italian-born people (46.3%), followed by African-born people (32.8%) and Eastern European-born people (14.1%). The average hospitalization cost was EUR 5259 ± 2592, with a median length of stay of 16 days (interquartile range, 8–30) days. Multivariate analysis showed that the development of acute kidney failure (adjusted odds ratio [aOR]=7.2, p < 0.001), alcohol consumption (aOR=8.9, p = 0.001), malignant tumors (aOR=2.1, p = 0.022), human immunodeficiency virus infection (aOR=3.4, p < 0.001), sepsis (aOR=15.2, p < 0.001), central nervous system involvement (aOR=9.9, p < 0.001), and miliary TB (aOR=2.5, p = 0.004) were independent predictors of mortality. ConclusionTB in Sicily remains an important cause of hospitalization. HIV infection and comorbidities may complicate patient management and worsen patient outcomes.

Differences in hospitalizations associated with severe COVID-19 disease among foreign- and Swedish-born.

Differences in pre-existing health conditions are hypothesized to explain immigrants' excess COVID-19 mortality compared to natives. In this study, we evaluate whether immigrants residing in Sweden before the outbreak were more likely to be hospitalized for conditions associated with severe COVID-19 disease. A cohort study using population-register data was conducted with follow-up between 1 January 1997 and 31 December 2017. Poisson regression was fitted to estimate incidence rate ratio (RR) and 95% confident intervals (95% CI) for 10 causes of hospitalization. Compared to Swedish-born individuals, most immigrant groups showed a decreased risk of hospitalization for respiratory chronic conditions, CVD, cancer, chronic liver conditions and neurological problems. All immigrant groups had increased risk of hospitalization for tuberculosis [RR between 88.49 (95% CI 77.21; 101.40) for the Horn of Africa and 1.69 (95% CI 1.11; 2.58) for North America], HIV [RR between 33.23 (95% CI 25.17; 43.88) for the rest of Africa and 1.31 (95% CI 0.93; 1.83) for the Middle East] and, with a few exceptions, also for chronic kidney conditions, diabetes and thalassemia. Foreign-born individuals-including origins with excess COVID-19 mortality in Sweden-did not show increased risk of hospitalizations for most causes associated with severe COVID-19 disease. However, all groups showed increased risks of hospitalization for tuberculosis and HIV and, with exceptions, for chronic kidney conditions, diabetes and thalassemia. Although studies should determine whether these health conditions explain the observed excess COVID-19 mortality, our study alerts to an increased risk of hospitalization that can be avoidable via treatment or preventive measures.

Trends in Hospitalization for Tuberculosis and Other Opportunistic Infections in Australian Patients with Inflammatory Joint Diseases.

As immune-modulating therapy has become the standard of care for idiopathic inflammatory joint diseases (IJD), we investigated whether this has changed the rates for hospitalization with opportunistic infections (OI). Administrative longitudinal state-wide health data identified patients hospitalized at least twice with diagnostic codes for rheumatoid arthritis (RA, n = 7730), psoriatic arthritis (PsA, n = 529) or axial spondylarthritis (AS, n = 1126) in Western Australia in the period 1985-2015. Overall incidence rates/1000 person-years (IR with 95% CI) for microbiologically confirmed OI (mycobacterial, fungal, and viral infections) during 180,963 person-years were analyzed across 10-year periods with IR trend rates analyzed by least square regression (R2) for all IJD categories. A total of 2584 OI occurred with higher IR rates observed in RA (15.34, CI 14.71-15.99) than PsA (8.73, CI 7.14-10.56) and AS (10.88, CI 9.63-12.24) patients (p < 0.001). IR rates were highest for Candidiasis across all three IJD categories (IR 10.0 vs. 6.32 vs. 6.88, respectively), while Varicella-zoster (VZV) was most frequent non-candida OI (IR 2.83.0 vs. 1.50 vs. 1.49, respectively) followed by mycobacterial (IR 1.14 vs. 0.08 vs. 0.24, respectively) and other mycotic infections (IR 0.60 vs. 0.58 vs. 0.86, respectively). Over time, the IR for tuberculosis and pneumocystosis decreased and remained stable for VZV infections in RA patients, but IR for all other OI increased across all disease categories. OI admission associated with 6.5% (CI 5.6-7.5) in-hospital mortality. Despite decreasing admission rates for tuberculosis and pneumocystosis in RA patients, an overall increase in mycotic and viral infection rates over time was seen across all three IJD. Together with a significant case fatality rate, this indicates continued efforts are needed to improve OI prevention in the management of IJD patients.

Post-discharge mortality in adult patients hospitalized for tuberculosis: a prospective cohort study.

Determining outcomes and predictors of mortality following discharge from tuberculosis (TB) hospitalization is crucial to establish health policies. The objective of this study was to analyze outcomes and, secondarily, predictors of mortality following discharge from TB hospitalization. This was a prospective cohort study of patients diagnosed with TB (all forms) discharged from the hospital who began treatment during hospitalization. Out of 169 subjects included, 38 died during the 13-months of follow-up, within a median of 3 months (95%CI: 1.49-4.51). In the multivariate analysis, the variables independently associated with death were age (HR=1.04, 95%CI: 1.01-1.06, P=0.001), presence of sputum production (HR=2.18, 95%CI: 1.09-4.34, P=0.027), and Charlson Comorbidity Index (HR=1.19, 95%CI: 1.04-1.36, P=0.015). In conclusion, post-discharge mortality in subjects hospitalized for TB was 22.5%, with mean survival of 4.6 months. The mortality was higher in older subjects, in those who reported sputum production, and in those with a high comorbidity index.

Independent effect of weather, air pollutants, and seasonal influenza on risk of tuberculosis hospitalization: An analysis of 22-year hospital admission data.

While influenza infections and environmental factors have been documented as potential drivers of tuberculosis, no investigations have simultaneously examined their impact on tuberculosis at a population level. This study thereby made use of Hong Kong's surveillance data over 22 years to elucidate the temporal association between environmental influences, influenza infections, and tuberculosis activity. Weekly total numbers of hospital admissions due to tuberculosis, meteorological data, and outdoor air pollutant concentrations in Hong Kong during 1998-2019 were obtained. All-type influenza-like illness positive (ILI+) rate and type-specific ILI+ rates were used as proxies for influenza activity. Quasi-Poisson generalized additive models together with distributed lag non-linear models were used to assess the association of interest. A total of 164,116 hospital admissions due to tuberculosis were notified in public settings over a period of 22 years. The cumulative adjusted relative risk (ARR) of hospital admission due to tuberculosis was 1.07 (95% CI, 1.00-1.14) when the mean ambient temperature increased from 15.1 °C (the 5th percentile) to 24.5 °C (median). Short-term exposure to air pollutants was not found to be statistically significantly related to tuberculosis hospitalization. Accounting for the environmental covariates in the analysis, the cumulative ARR of tuberculosis admission was elevated to 1.05 (95% CI, 1.01-1.08) when the rate of ILI+ total increased from zero to 19.9 per 1000 consultations, the 95th percentile. Our findings demonstrated that increased influenza activity and higher temperature were related to a higher risk of tuberculosis admissions. Stepping up the promotion of influenza vaccination, especially before the summer season, may lower the risk of tuberculosis infection/reactivation for vulnerable groups (e.g. elderly born before the launch of Bacillus Calmette-Guérin vaccination programme).

Contributions of ambient temperature and relative humidity to the risk of tuberculosis admissions: A multicity study in Central China

BackgroundAs a communicable disease and major public health issue, many studies have quantified the associations between tuberculosis (TB) and meteorological factors with inconsistent results. The purpose of this multicenter study was to characterize the associations between ambient temperature, humidity and the risk of TB hospitalizations and to investigate potential heterogeneity. MethodData on daily hospitalizations for TB, meteorological factors and ambient air pollutants for 16 cities in Anhui Province were collected from 2015 to 2020. A distributed lag nonlinear model (DLNM) was performed to obtain the estimates of meteorological-TB relationships by cities. Then, we used the multivariate meta-regression model to pool the city-specific estimates with air pollution, demographic indicators, medical resource and latitude as potential modifiers to explore the sources of heterogeneity. Finally, we divided the whole province into three regions to validate the meteorological-TB relationships by regions. ResultsThe overall pooled temperature-TB association presented an approximate S-shaped curve, with relative risk (RR) peaking at 5 °C (RR = 1.536, 95% CI: 1.303–1.811) compared to the reference temperature (27 °C). Lag-response curve suggested that low temperature exposure increased the risk of TB hospitalizations at lag 0 and 1 day (lag0 day: RR = 1.136, 95% CI: 1.048–1.231, lag1 day: RR = 1.052, 95% CI: 1.023–1.082). However, the overall exposure-response curve between relative humidity and TB showed almost horizontal line with reference relative humidity to 78%. The residual heterogeneity ranged from 27.1% to 36.9%, with air pollution, latitude and medical resource explained the largest proportion. ConclusionWe found that low temperature exposure is associated with an acute increased risk of TB hospitalizations in Anhui Province. The association between temperature and TB admission varies depending on air pollution, latitude, and medical resources. Since the effect of short-term exposure to humidity is not significant, further studies are supposed to focus on the long-term effect of humidity.

PULMONARY TUBERCUOLOSIS MORTALITY ANALYSIS IN THE SOUTHEASTERN REGION OF BRAZIL, 2015 TO 2020

Objective: To analyze data on mortality from pulmonary tuberculosis and to analyze the incidence for the years 2015 to 2020 in the southeastern region of Brazil. Methods: Ecological descriptive study which data collection consisted of all deaths and hospitalizations for Pulmonary Tuberculosis registered in the Unified Health System, available on the DATASUS. Results: During the years studied, in the Southeastern Region cases of hospitalizations for pulmonary tuberculosis were predominantly higher among men and it is also noted that the age group with the highest number of hospitalizations is between 40 and 59 years old. There was a greater increase in these rates in the state of Rio de Janeiro (B= 4.57; p* =315; r²= 0.24), followed by São Paulo ( β= 8.05; p*= 132; r²= 0.47), and Espírito Santo (β= 0.54; p*= 218; r²= 0.34). Conclusion: The results of the present study show that there was an increase in mortality rates from Pulmonary Tuberculosis in Southeastern Region Brazil.

Space-time analysis of pulmonary tuberculosis hospitalizations in mainland Portugal (2002-2016)

Abstract Background Tuberculosis (TB) imposes a great pressure on healthcare resources, particularly in terms of hospital-based treatment and extended hospitalization. Understanding the space-time clustering of pulmonary TB (PTB) hospitalizations leads to a richer knowledge to assist decision makers in Public Health to develop strategic interventions to reduce these hospitalizations. Our objective was to identify space-time clusters of PTB hospitalizations at municipality level in mainland Portugal. Methods Ecologic study using data from nationwide hospitalization database of Portugal. All patients with a diagnosis of PTB (primary or secondary) and reference to place of residence were included in the study (n = 22760). Space-time analysis was used to define clusters with high rates of hospitalizations at the municipality level between 2002 and 2016. Results Overall hospitalization rate was 17.7/105population/year, with hospitalization rates decreasing by 64.9% during this period (2002:29.4/105; 2016:9.6/105). Space-time analysis of the overall period identified five different clusters, with the clusters in Lisboa and Porto metropolitan areas presenting the highest hospitalization rates (51.5/105 and 43.6/105population, respectively). In a more recent period (2011-2016), were identified four clusters with Lisboa metropolitan area and a northeast rural region presenting the highest hospitalization rates (27.6/105 and 46.2/105population, respectively). Conclusions PTB hospitalization rates in continental Portugal presented a constant decrease between 2002 and 2016. We identified a cluster of PTB hospitalizations in a rural region of northeast mainland Portugal, an area where the incidence of TB is below 20/105population. A closer look is needed to understand the reasons behind this high number of hospitalizations. Our results show that space-time analysis can be a resource to monitor the dynamic of the disease and identify possible areas needing Public Health intervention. Key messages Pulmonary tuberculosis hospitalizations are decreasing in mainland Portugal, with the two major urban areas (Lisboa and Porto) presenting the clusters with highest hospitalization rates. A cluster of hospitalizations for pulmonary tuberculosis was identified in a rural region in the northeast of mainland Portugal, an area with a low incidence of tuberculosis.

Determinants of household catastrophic costs for drug sensitive tuberculosis patients in Kenya

BackgroundDespite free diagnosis and treatment for tuberculosis (TB), the costs during treatment impose a significant financial burden on patients and their households. The study sought to identify the determinants for catastrophic costs among patients with drug-sensitive TB (DSTB) and their households in Kenya.MethodsThe data was collected during the 2017 Kenya national patient cost survey from a nationally representative sample (n = 1071). Treatment related costs and productivity losses were estimated. Total costs exceeding 20% of household income were defined as catastrophic and used as the outcome. Multivariable Poisson regression analysis was performed to measure the association between selected individual, household and disease characteristics and occurrence of catastrophic costs. A deterministic sensitivity analysis was carried using different thresholds and the significant predictors were explored.ResultsThe proportion of catastrophic costs among DSTB patients was 27% (n = 294). Patients with catastrophic costs had higher median productivity losses, 39 h [interquartile range (IQR): 20–104], and total median costs of USD 567 (IQR: 299–1144). The incidence of catastrophic costs had a dose response with household expenditure. The poorest quintile was 6.2 times [95% confidence intervals (CI): 4.0–9.7] more likely to incur catastrophic costs compared to the richest. The prevalence of catastrophic costs decreased with increasing household expenditure quintiles (proportion of catastrophic costs: 59.7%, 32.9%, 23.6%, 15.9%, and 9.5%) from the lowest quintile (Q1) to the highest quintile (Q5). Other determinants included hospitalization: prevalence ratio (PR) = 2.8 (95% CI: 1.8–4.5) and delayed treatment: PR = 1.5 (95% CI: 1.3–1.7). Protective factors included receiving care at a public health facility: PR = 0.8 (95% CI: 0.6–1.0), and a higher body mass index (BMI): PR = 0.97 (95% CI: 0.96–0.98). Pre TB expenditure, hospitalization and BMI were significant predictors in all sensitivity analysis scenarios.ConclusionsThere are significant inequities in the occurrence of catastrophic costs. Social protection interventions in addition to existing medical and public health interventions are important to implement for patients most at risk of incurring catastrophic costs.Graphic abstract

Implementation of a Mobile Health Strategy to Improve Linkage to and Engagement with HIV Care for People Living with HIV, Tuberculosis, and Substance Use in Irkutsk, Siberia.

In Irkutsk, Siberia, there is a high prevalence of HIV and tuberculosis (TB) coinfection. Mobile health (mHealth) strategies have shown promise for increasing linkage to and engagement in care for people living with HIV (PLWH) in other contexts. We evaluated outcomes for a cohort of PLWH, TB, and substance use in Irkutsk after participation in a multi-feature mHealth intervention called MOCT. Sixty patients were enrolled during hospitalization for TB. We evaluated participant app usage, linkage to HIV care postdischarge, perception of self-efficacy related to HIV care, and HIV-related clinical outcomes at 6 months. We also performed an exploratory analysis to compare a subset of 49 patients with a pre-intervention cohort matched for age and gender. Participants demonstrated engagement with app features examined at 6 months. The majority linked to HIV care by 6 months (83%). Self-scoring of confidence in ability to communicate with HIV providers improved from baseline (median score 8, scale 1–10) to 6 months (10, p = 0.004). A higher proportion of the MOCT subset refilled antiretroviral therapy (69% vs. 43% in pre-intervention cohort, p = 0.01), with fewer deaths in the MOCT subset at 6 months (1 death vs. 10 deaths in pre-intervention cohort, p = 0.02) and a decreased likelihood of developing the composite outcome of death/failure to achieve viral suppression at 6 months (adjusted odds ratio = 0.33, p = 0.029). This study demonstrates preliminary intervention uptake and improvement in short-term outcomes for an urban cohort of PLWH, TB, and substance use enrolled in a multi-feature mHealth intervention, a novel strategy for the context.Clinical Trial Registration Number: NCT03819374.

Tuberculosis in Brazil: one country, multiple realities

ABSTRACTObjective:To identify the determinants of tuberculosis-related variables in the various regions of Brazil and evaluate trends in those variables over the ten-year period preceding the end of the timeframe defined for the United Nations Millennium Development Goals (MDGs). Methods:This was an ecological analytical study in which we utilized eight national public databases to investigate the 716,971 new tuberculosis cases reported between 2006 and 2015. Results:Over the study period, there were slight reductions in the prevalence, incidence, and mortality associated with tuberculosis. Brazil did not reach the MDG for tuberculosis-related mortality. Among the performance indicators of tuberculosis control, there were improvements only in those related to treatment and treatment abandonment. In terms of the magnitude of tuberculosis, substantial regional differences were observed. The tuberculosis incidence rate was highest in the northern region, as were the annual mean temperature and relative air humidity. That region also had the second lowest human development index, primary health care (PHC) coverage, and number of hospitalizations for tuberculosis. The northeastern region had the highest PHC coverage, number of hospitalizations for primary care-sensitive conditions, and tuberculosis-related mortality rate. The southern region showed the smallest reductions in epidemiological indicators, together with the greatest increases in the frequency of treatment abandonment and retreatment. The central-west region showed the lowest overall magnitude of tuberculosis and better monitoring indicators. Conclusions:The situation related to tuberculosis differs among the five regions of Brazil. Those differences can make it difficult to control the disease in the country and could explain the fact that Brazil failed to reach the MDG for tuberculosis-related mortality. Tuberculosis control measures should be adapted to account for regional differences.

Space-time clustering and temporal trends of hospitalizations due to pulmonary tuberculosis: potential strategy for assessing health care policies.

Tuberculosis (TB) causes pressure on healthcare resources, especially in terms of hospital admissions, despite being considered an ambulatory care-sensitive condition for which timely and effective care in ambulatory setting could prevent the need for hospitalization. Our objectives were to describe the spatial and temporal variation in pulmonary tuberculosis (PTB) hospitalizations, identify critical geographic areas at municipality level and characterize clusters of PTB hospitalizations to help the development of tailored disease management strategies that could improve TB control. Ecologic study using sociodemographic, geographical and clinical information of PTB hospitalization cases from continental Portuguese public hospitals, between 2002 and 2016. Descriptive statistics, spatiotemporal cluster analysis and temporal trends were conducted. The space-time analysis identified five clusters of higher rates of PTB hospitalizations (2002-16), including the two major cities in the country (Lisboa and Porto). Globally, we observed a -7.2% mean annual percentage change in rate with only one of the identified clusters (out of six) with a positive trend (+4.34%). In the more recent period (2011-16) was obtained a mean annual percentage change in rate of -8.12% with only one cluster identified with an increase trend (+9.53%). Our results show that space-time clustering and temporal trends analysis can be an invaluable resource to monitor the dynamic of the disease and contribute to the design of more effective, focused interventions. Interventions such as enhancing the detection of active and latent infection, improving monitoring and evaluation of treatment outcomes or adjusting the network of healthcare providers should be tailored to the specific needs of the critical areas identified.

Infectious Disease Hospitalizations, New York City, 2001-2014.

Hospital discharge data are a means of monitoring infectious diseases in a population. We investigated rates of infectious disease hospitalizations in New York City. We analyzed data for residents discharged from New York State hospitals with a principal diagnosis of an infectious disease during 2001-2014 by using the Statewide Planning and Research Cooperative System. We calculated annual age-adjusted hospitalization rates and the percentage of hospitalizations in which in-hospital death occurred. We examined diagnoses by site of infection or sepsis and by pathogen type. During 2001-2014, the mean annual age-adjusted rate of infectious disease hospitalizations in New York City was 1661.6 (95% CI, 1659.2-1663.9) per 100 000 population; the mean annual age-adjusted hospitalization rate decreased from 2001-2003 to 2012-2014 (rate ratio = 0.9; 95% CI, 0.9-0.9). The percentage of in-hospital death during 2001-2014 was 5.9%. The diagnoses with the highest mean annual age-adjusted hospitalization rates among all sites of infection and sepsis diagnoses were the lower respiratory tract, followed by sepsis. From 2001-2003 to 2012-2014, the mean annual age-adjusted hospitalization rate per 100 000 population for HIV decreased from 123.1 (95% CI, 121.7-124.5) to 40.0 (95% CI, 39.2-40.7) and for tuberculosis decreased from 10.2 (95% CI, 9.8-10.6) to 4.6 (95% CI, 4.4-4.9). Although hospital discharge data are subject to limitations, particularly for tracking sepsis, lower respiratory tract infections and sepsis are important causes of infectious disease hospitalizations in New York City. Hospitalizations for HIV infection and tuberculosis appear to be declining.

Pulmonary vs. extra-pulmonary tuberculosis hospitalizations in the US [1998–2014

BackgroundFew studies have explored the relative burden and trends in pulmonary (PTB) vs. extra-pulmonary (EPTB) tuberculosis in the United States using a nationally representative sample. MethodsThis study examined trends in hospitalization rates, length-of-stay (LOS), in-hospital mortality and inflation-adjusted charges, for PTB vs. EPTB using the Nationwide/National Inpatient Sample (NIS) from 1998 to 2014. Descriptive and multivariable analyses (linear, negative binomial and logistic) were utilized adjusting for demographics, co-morbidity and hospital characteristics. ResultsDuring the study period there were a survey-adjusted, estimated 258,631 PTB (75.5%), 76,476 EPTB (22.3%) and 7552 concurrent PTB and EPTB (2.2%) discharges. Whites accounted for 27.6% of PTB, 21.9% of EPTB and 17.6% of concurrent discharges; and self-pay or no insurance accounted for 22.2%, 18.4%, and 25.9%, respectively. EPTB was more common among blacks (22.5%), and combined TB more common among Hispanics (24.8%). Mean LOS was 11.4 days, 13.2 days, and 19.5 days; with mean nominal charges of $48,031, $62,255, and $89,364 for PTB, EPTB and combined TB respectively. Inpatient mortality for all three groups was approximately 5.7%. Miliary TB and TB of meninges and central nervous system were positively associated with mortality (odds ratios of 2.44 and 2.11, respectively), as was alcohol abuse (OR 1.21). Trend analyses showed decreased hospitalizations for all TB types, no change in LOS trends, decreased mortality for PTB and ETB and increased charges for PTB and ETB from 1998 to 2014. Increased utilization, higher charges and higher risk of mortality (to some extent) among the EPTB cases warrant improved methods for screening, diagnosis and treatment. ConclusionThough rates of TB hospitalization are declining, EPTB is becoming relatively more common and is more costly compared to pulmonary TB. Screening methods that focus on identification of ETB contrary to current practice guidelines are needed to aid ETB case finding.

Factors Influencing Hospitalization Rates and Inpatient Cost of Patients with Tuberculosis in Jiangsu Province, China: An Uncontrolled before and after Study.

Objective: The China Center for Disease Control and Prevention (CDC) introduced an innovative financing model of tuberculosis (TB) care and control with the aim of standardizing TB treatment and reducing the financial burden associated with patients with TB. This is a study of the pilot implementation of new financing mechanism in Zhenjiang, between 2014–2015. We compared TB hospitalization rates and inpatient service costs before and after implementation to examine the factors associated with hospital admissions. Our goal is to provide evidence-based recommendations for improving TB service provision and cost control. Methods: We reviewed new policy documents on TB financing. We conducted a patient survey to investigate the utilization of inpatient services, and patients’ out-of-pocket payment for inpatient care. We extracted total medical expenditures of inpatient services from inpatient records of TB designated hospitals. Findings: 63.6% (n = 159) of the surveyed patients with TB were admitted for treatment in 2015, which was higher than that in 2013 (54.8%, n = 144). The number of hospital admission was slightly lower in 2015 (1.16 per patient) than in 2013 (1.26 per patient), while the length of hospital stay was longer in 2015 (24 days) than in 2013 (16 days). In 2015, patients from families with low incomes were more likely to be admitted than those from higher income groups (OR = 3.06, 95% CI: 1.12–8.33). The average inpatient service cost in 2015 (3345 USD) was 1.7 times the cost in 2013 (1952 USD). It was found that 96.2% of patients with TB who were from low-income households spent more than 20% of their household income on inpatient care in 2013, versus 100% in 2015. Conclusion: The TB hospital admission rate and total inpatient service cost increased over the study period. The majority of patients with TB, particularly poor patient who used inpatient care, continue to suffer from heavy financial burden.

Spatial patterns and effects of air pollution and meteorological factors on hospitalization for chronic lung diseases in Beijing, China

Chronic obstructive pulmonary disease (COPD), lung cancer (LC) and tuberculosis (TB) are common chronic lung diseases that generate a large disease burden and significant health care resource use in China. The aim of this study was to quantify spatial patterns and effects of air pollution and meteorological factors on hospitalization of COPD, LC and TB in Beijing. Daily counts of hospitalization for 2010 were obtained from the Beijing Urban Employees Basic Medical Insurance (UEBMI) system. Bayesian hierarchical Poisson regression models were applied to identify spatial patterns of hospitalization for COPD, LC and TB at the district level and explore associations with inhalable particulate matter (aerodynamic diameter <10 μm, PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), mean temperature and relative humidity. There were 18,882, 14,295 and 2,940 counts of hospitalizations for COPD, LC and TB respectively, in Beijing in 2010. Clusters of high relative risk were in different locations for the three diseases. The effect of relative humidity on COPD hospitalization was most significant with a relative risk (RR) of 1.070 (95%CI: 1.054, 1.086) per one percent increase. For lung cancer hospitalization, exposure to ambient SO2 was associated with a RR of 1.034 (95%CI: 1.011, 1.058) per μg m-3 increase. For tuberculosis, the effect of mean temperature was significant with a RR of 1.107 (95%CI: 1.038, 1.180) per °C increase. Risk factors and spatial patterns were different for hospitalization of non-infectious and infectious chronic lung disease in Beijing. Even over a short time period (one year), associations were apparent with air pollution and meteorological factors.

Slowdown in the Decline of Tuberculosis Rates in California, 2000-2016.

To determine the impact of the 2007-2009 economic crisis on tuberculosis (TB) trends among California residents. We analyzed available data from 4 different population-representative data sets. We used time charts, trend lines, and change-point detection tests during 2000 to 2016 to describe TB trends in California. We found statistically significant changes in California TB trends with the time of the onset of the economic downturn based on age-adjusted TB case rates and TB mortality rates, crude rate of TB hospitalizations, and self-reported TB. Change on TB incidence was especially apparent among racial/ethnic minority groups. To our knowledge, changes in TB trends in the United States matching in time with the 2007-2009 economic crisis have not been previously reported. This study identified a slowdown in the decline of TB rates by 2007 to 2009 and provides new knowledge on TB trends that can be used to achieve California's goal of eliminating TB by 2040 and in the prevention and control of TB in the United States.

Number and cost of hospitalizations with principal and secondary diagnoses of tuberculosis, United States.

To estimate the number and cost of hospitalizations with a diagnosis of active tuberculosis (TB) disease in the United States. We analyzed the 2014 National In-Patient Sample using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9) codes to identify hospitalizations with a principal (TB-PD) or any secondary discharge (TB-SD) TB diagnosis. We used a generalized linear model with log link and gamma distribution to estimate the cost per TB-PD and TB-SD episode adjusted for patient demographics, insurer, clinical elements, and hospital characteristics. We estimated 4985 TB-PD and 6080 TB-SD hospitalizations nationwide. TB-PD adjusted averaged $16 695 per episode (95%CI $16 168-$17 221). The average for miliary/disseminated TB ($22 498, 95%CI $21 067-$23 929) or TB of the central nervous system ($28 338, 95%CI $25 836-$30 840) was significantly greater than for pulmonary TB ($14 819, 95%CI $14 284-$15 354). The most common principal diagnoses for TB-SD were septicemia (n = 965 hospitalizations), human immunodeficiency virus infection (n = 610), pneumonia (n = 565), and chronic obstructive pulmonary disease and bronchiectasis (COPD-B, n = 150). The adjusted average cost per TB-SD episode was $15 909 (95%CI $15 337-$16 481), varying between $8687 (95%CI $8337-$9036) for COPD-B and $23 335 (95%CI $21 979-$24 690) for septicemia. TB-PD cost the US health care system $123.4 million (95%CI $106.3-$140.5) and TB-SD cost $141.9 million ($128.4-$155.5), of which Medicaid/Medicare covered respectively 67.2% and 69.7%. TB hospitalizations result in substantial costs within the US health care system.