Seasonal extreme temperatures and short-term fine particulate matter increases pediatric respiratory healthcare encounters in a sparsely populated region of the intermountain western United States.

BACKGROUND: Western Montana, USA, experiences complex air pollution patterns with predominant exposure sources from summer wildfire smoke and winter wood smoke. In addition, climate change related temperatures events are becoming more extreme and expected to contribute to increases in hospital admissions for a range of health outcomes. Evaluating while accounting for these exposures (air pollution and temperature) that often occur simultaneously and may act synergistically on health is becoming more important. METHODS: We explored short-term exposure to air pollution on children's respiratory health outcomes and how extreme temperature or seasonal period modify the risk of air pollution-associated healthcare events. The main outcome measure included individual-based address located respiratory-related healthcare visits for three categories: asthma, lower respiratory tract infections (LRTI), and upper respiratory tract infections (URTI) across western Montana for ages 0-17 from 2017-2020. We used a time-stratified, case-crossover analysis with distributed lag models to identify sensitive exposure windows of fine particulate matter (PM2.5) lagged from 0 (same-day) to 14 prior-days modified by temperature or season. RESULTS: For asthma, increases of 1 µg/m3 in PM2.5 exposure 7-13 days prior a healthcare visit date was associated with increased odds that were magnified during median to colder temperatures and winter periods. For LRTIs, 1 µg/m3 increases during 12 days of cumulative PM2.5 with peak exposure periods between 6-12 days before healthcare visit date was associated with elevated LRTI events, also heightened in median to colder temperatures but no seasonal effect was observed. For URTIs, 1 unit increases during 13 days of cumulative PM2.5 with peak exposure periods between 4-10 days prior event date was associated with greater risk for URTIs visits that were intensified during median to hotter temperatures and spring to summer periods. CONCLUSIONS: Delayed, short-term exposure increases of PM2.5 were associated with elevated odds of all three pediatric respiratory healthcare visit categories in a sparsely population area of the inter-Rocky Mountains, USA. PM2.5 in colder temperatures tended to increase instances of asthma and LRTIs, while PM2.5 during hotter periods increased URTIs.

Using a severity threshold to improve occupational injury surveillance: Assessment of a severe traumatic injury-based occupational health indicator across the International Classification of Diseases lexicon transition.

BACKGROUND: Traumatic injury is a leading cause of death and disability among US workers. Severe injuries are less subject to systematic ascertainment bias related to factors such as reporting barriers, inpatient admission criteria, and workers' compensation coverage. A state-based occupational health indicator (OHI #22) was initiated in 2012 to track work-related severe traumatic injury hospitalizations. After 2015, OHI #22 was reformulated to account for the transition from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to ICD-10-CM. This study describes rates and trends in OHI #22, alongside corresponding metrics for all work-related hospitalizations. METHODS: Seventeen states used hospital discharge data to calculate estimates for calendar years 2012-2019. State-panel fixed-effects regression was used to model linear trends in annual work-related hospitalization rates, OHI #22 rates, and the proportion of work-related hospitalizations resulting from severe injuries. Models included calendar year and pre- to post-ICD-10-CM transition. RESULTS: Work-related hospitalization rates showed a decreasing monotonic trend, with no significant change associated with the ICD-10-CM transition. In contrast, OHI #22 rates showed a monotonic increasing trend from 2012 to 2014, then a significant 50% drop, returning to a near-monotonic increasing trend from 2016 to 2019. On average, OHI #22 accounted for 12.9% of work-related hospitalizations before the ICD-10-CM transition, versus 9.1% post-transition. CONCLUSIONS: Although hospital discharge data suggest decreasing work-related hospitalizations over time, work-related severe traumatic injury hospitalizations are apparently increasing. OHI #22 contributes meaningfully to state occupational health surveillance efforts by reducing the impact of factors that differentially obscure minor injuries; however, OHI #22 trend estimates must account for the ICD-10-CM transition-associated structural break in 2015.

Observational Study of the Association between Atrial Fibrillation and In-Hospital Mortality during Hospitalization for Solid Organ Transplants in Spain from 2004 to 2021.

(1) Background: We analyzed the association between atrial fibrillation or atrial flutter (AF) and in-hospital mortality (IHM) among patients who underwent solid organ transplants in Spain from 2004 to 2021. (2) Methods: We gathered information from all hospital admissions for lung, liver, kidney, and heart transplants. (3) Results: A total of 71,827 transplants were analyzed (4598 lung transplants; 18,127 liver transplants; 45,262 kidney transplants; and 4734 heart transplants). One third of these were for women. Overall, the prevalence of AF was 6.8% and increased from 5.3% in 2004-2009 to 8.6% in 2016-2021. The highest prevalence of AF was found for heart transplants (24.0%), followed by lung transplants (14.7%). The rates for kidney and liver transplants were 5.3% and 4.1%, respectively. The AF code increased over time for all of the transplants analyzed (p < 0.001). The patients' IHM decreased significantly from 2004-2009 to 2016-2021 for all types of transplants. AF was associated with a higher IHM for all of the types of transplants analyzed, except for heart transplants. (4) Conclusions: The prevalence of AF among patients admitted for solid organ transplants was highest for those who underwent heart transplants. The mortality rate during the patients' admission for lung, liver, kidney, or heart transplants decreased over time. AF was independently associated with a higher risk of dying in the hospital for those who underwent lung, liver, or kidney transplants.

Seasonal extreme temperatures and short-term fine particulate matter increases child respiratory hospitalizations in a sparsely populated region of the intermountain western United States.

Background: Western Montana, USA, experiences complex air pollution patterns with predominant exposure sources from summer wildfire smoke and winter wood smoke. In addition, climate change related temperatures events are becoming more extreme and expected to contribute to increases in hospital admissions for a range of health outcomes. Few studies have evaluated these exposures (air pollution and temperature) that often occur simultaneously and may act synergistically on health. Methods: We explored short-term exposure to air pollution on childhood respiratory health outcomes and how extreme temperature or seasonal period modify the risk of air pollution-associated hospitalizations. The main outcome measure included all respiratory-related hospital admissions for three categories: asthma, lower respiratory tract infections (LRTI), and upper respiratory tract infections (URTI) across western Montana for all individuals aged 0-17 from 2017-2020. We used a time-stratified, case-crossover analysis and distributed lag models to identify sensitive exposure windows of fine particulate matter (PM2.5) lagged from 0 (same-day) to 15 prior-days modified by temperature or season. Results: Short-term exposure increases of 1 µg/m3 in PM2.5 were associated with elevated odds of all three respiratory hospital admission categories. PM2.5 was associated with the largest increased odds of hospitalizations for asthma at lag 7-13 days [1.87(1.17-2.97)], for LRTI at lag 6-12 days [2.18(1.20-3.97)], and for URTI at a cumulative lag of 13 days [1.29(1.07-1.57)]. The impact of PM2.5 varied by temperature and season for each respiratory outcome scenario. For asthma, PM2.5 was associated most strongly during colder temperatures [3.11(1.40-6.89)] and the winter season [3.26(1.07-9.95)]. Also in colder temperatures, PM2.5 was associated with increased odds of LRTI hospitalization [2.61(1.15-5.94)], but no seasonal effect was observed. Finally, 13 days of cumulative PM2.5 prior to admissions date was associated with the greatest increased odds of URTI hospitalization during summer days [3.35(1.85-6.04)] and hotter temperatures [1.71(1.31-2.22)]. Conclusions: Children's respiratory-related hospital admissions were associated with short-term exposure to PM2.5. PM2.5 associations with asthma and LRTI hospitalizations were strongest during cold periods, whereas associations with URTI were largest during hot periods. Classification: environmental public health, fine particulate matter air pollution, respiratory infections.

Cancer and Pregnancy: Estimates in Italy from Record-Linkage Procedures between Cancer Registries and the Hospital Discharge Database.

The aim of this study is to describe the frequency and trend of pregnancy-associated cancer (PAC) in Italy, an increasingly relevant phenomenon due to postponing age at childbirth. To this purpose, a population-based retrospective longitudinal study design based on cohorts of women aged 15-49 diagnosed with cancer and concomitant pregnancy is proposed. The study uses 19 population-based Cancer Registries, covering about 22% of Italy, and linked at an individual level with Hospital Discharge Records. A total of 2,861,437 pregnancies and 3559 PAC are identified from 74,165 women of the cohort with a rate of 1.24 PAC per 1000 pregnancies. The most frequent cancer site is breast (24.3%), followed by thyroid (23.9%) and melanoma (14.3%). The most frequent outcome is delivery (53.1%), followed by voluntary termination of pregnancy and spontaneous abortion (both 12.0%). The trend of PAC increased from 2003 to 2015, especially when the outcome is delivery, thus confirming a new attitude of clinicians to manage cancer throughout pregnancy. This represents the first attempt in Italy to describe PAC from Cancer Registries data; the methodology is applicable to other areas with the same data availability. Evidence from this study is addressed to clinicians for improving clinical management of women with PAC.

Factors associated with urinary diversion and fatality of hospitalised acute pyelonephritis patients in France: a national cross-sectional study (FUrTIHF-2).

Acute pyelonephritis (AP) epidemiology has been sparsely described. This study aimed to describe the evolution of AP patients hospitalised in France and identify the factors associated with urinary diversion and fatality, in a cross-sectional study over the 2014-2019 period. Adult patients hospitalised for AP were selected by algorithms of ICD-10 codes (PPV 90.1%) and urinary diversion procedure codes (PPV 100%). 527,671 AP patients were included (76.5% female: mean age 66.1, 48.0% Escherichia coli), with 5.9% of hospital deaths. In 2019, the AP incidence was 19.2/10,000, slightly increasing over the period (17.3/10,000 in 2014). 69,313 urinary diversions (13.1%) were performed (fatality rate 6.7%), mainly in males, increasing over the period (11.7% to 14.9%). Urolithiasis (OR [95% CI] =33.1 [32.3-34.0]), sepsis (1.73 [1.69-1.77]) and a Charlson index ≥3 (1.32 [1.29-1.35]) were significantly associated with urinary diversion, whereas E. coli (0.75 [0.74-0.77]) was less likely associated. The same factors were significantly associated with fatality, plus old age and cancer (2.38 [2.32-2.45]). This nationwide study showed an increase in urolithiasis and identified, for the first time, factors associated with urinary diversion in AP along with death risk factors, which may aid urologists in clinical decision-making.

Incidence and risk factors for postoperative gastrointestinal dysfunction occurrence after gastrointestinal procedures in US patients.

BACKGROUND: Incidence of, and potential risk factors for, postoperative gastrointestinal dysfunction (POGD) after gastrointestinal procedures performed in US hospitals were examined. METHODS: This retrospective study used hospital discharge data of inpatients who underwent ≥1 gastrointestinal procedures from 1-Jan-2016 to 30-Apr-2019. POGD incidence was calculated based on all hospitalizations for MDC-06 procedures. Predictors of POGD were assessed using multivariable logistic regression. RESULTS: POGD incidence was 5.8% among 638 611 inpatient hospitalizations. Major bowel procedures, peritoneal adhesiolysis, and appendectomy were the most notable predictors of POGD among gastrointestinal procedures assessed (adjusted odds ratios [95% confidence intervals]: 2.71 [2.59-2.83], 2.48 [2.34-2.64], and 2.15 [2.03-2.27], respectively; all p < 0.05). Procedures performed by colorectal/gastroenterology specialists (0.86 [0.84-0.89]), and those performed percutaneously (0.55 [0.54-0.56]) were associated with significantly lower odds of POGD (both P < 0.05). CONCLUSIONS: Findings may help clinicians tailor management plans targeting patients at high-risk of POGD.

Mental health and substance use disorders at delivery hospitalization and readmissions after delivery discharge.

BACKGROUND: The objective was to assess mental health and substance use disorders (MSUD) at delivery hospitalization and readmissions after delivery discharge. METHODS: This is a population-based retrospective cohort study of persons who had a delivery hospitalization during January to September in the 2019 Nationwide Readmissions Database. We calculated 90-day readmission rates for MSUD and non-MSUD, overall and stratified by MSUD status at delivery. We used multivariable logistic regressions to assess the associations of MSUD type, patient, clinical, and hospital factors at delivery with 90-day MSUD readmissions. RESULTS: An estimated 11.8% of the 2,697,605 weighted delivery hospitalizations recorded MSUD diagnoses. The 90-day MSUD and non-MSUD readmission rates were 0.41% and 2.9% among delivery discharges with MSUD diagnoses, compared to 0.047% and 1.9% among delivery discharges without MSUD diagnoses. In multivariable analysis, schizophrenia, bipolar disorder, stimulant-related disorders, depressive disorders, trauma- and stressor-related disorders, alcohol-related disorders, miscellaneous mental and behavioral disorders, and other specified substance-related disorders were significantly associated with increased odds of MSUD readmissions. Three or more co-occurring MSUDs (vs one MSUD), Medicare or Medicaid (vs private) as the primary expected payer, lowest (vs highest) quartile of median household income at residence zip code level, decreasing age, and longer length of stay at delivery were significantly associated with increased odds of MSUD readmissions. CONCLUSION: Compared to persons without MSUD at delivery, those with MSUD had higher MSUD and non-MSUD 90-day readmission rates. Strategies to address MSUD readmissions can include improved postpartum MSUD follow-up management, expanded Medicaid postpartum coverage, and addressing social determinants of health.

Recording early deaths following emergency department visits in inpatient data: An observational study using data of 16 German hospitals.

OBJECTIVE: In German hospital emergency departments (EDs), no definite reimbursement rules exist for patients who die within 24 hours after arrival. Our study aimed to assess whether these cases were recorded and billed as inpatient stays. Furthermore, characteristics of patients who die within 24 hours following arrival at the ED were investigated for all ED visits, as well as for the subgroup of ED visits with an ED diagnosis or inpatient principal diagnosis of acute myocardial infarction. METHODS: This study was part of the INDEED project, which aimed to explore utilization and trans-sectoral patterns of care for patients treated in EDs in Germany. The study population includes ED visits of adult patients in 2016 in 16 German hospitals participating in the project. In the data set of combined ED, inpatient, and outpatient treatment information early deaths were classified as patients who died in the ED or in the hospital within 24 hours after arrival. Characteristics of visits followed by early death were analyzed descriptively. Mode of billing as inpatient or outpatient was validated by identifying corresponding billing information using linked inpatient and outpatient data. RESULTS: In 2016, 454,747 ED visits of adult patients occurred in the participating hospitals and 42.8% resulted in inpatient admission. Among these inpatients 8,317 (4.3%) died during the overall hospital stay, and 1,302 (0.7%) died within 24 hours following arrival. The proportion of early deaths among all deaths in patients with a diagnosis of acute myocardial infarction was higher (27%) compared to the overall patient population (16%). Although all cases of early death were classified as inpatients the corresponding inpatient data was missing in 1.9% of all early deaths and in 3.4% of early deaths with a diagnosis of acute myocardial infarction. Outpatient billing information suggesting that these cases were billed as outpatients, was found in 0.3% of all early deaths and in 0.8 to 1.7% of early deaths with a diagnosis of acute myocardial infarction, respectively. CONCLUSION: In-hospital mortality might be biased by incomplete recording of early deaths in inpatient data. However, the proportion of patients with early death who were billed as outpatients was marginal in the investigated study population of 16 hospitals. Although the study results are limited by restricted generalizability and subpar data quality, this finding indicates that early deaths might be almost completely recorded in German inpatient data. Nevertheless, data quality should be enhanced by establishing general billing rules for cases with a short treatment duration due to early death.

Improving identification of crash injuries: Statewide integration of hospital discharge and crash report data.

OBJECTIVE: The availability of complete and accurate crash injury data is critical to prevention and intervention efforts. Relying solely on hospital discharge data or police crash reports may result in a biased undercount of injuries. Linking hospital data with crash reports may allow for a more robust identification of injuries and an understanding of which populations may be missed in an analysis of one source. We used the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse to examine the share of the entire crash-injured population identified in each of the two data sources, overall and by age, race/ethnicity, sex, injury severity, and road user type. METHODS: We utilized 2016-2017 data from the NJ-SHO warehouse. We identified crash-involved individuals in hospital discharge data by applying the ICD-10-CM external cause of injury matrix. Among crash-involved individuals, we identified those with injury- or pain-related diagnosis codes as being injured. We also identified crash-involved individuals via crash report data and identified injuries using the KABCO scale. We jointly examined the two sources; injuries in the hospital discharge data were documented as being related to the same crash as injuries found in the crash report data if the date of the crash report preceded the date of hospital admission by no more than two days. RESULTS: In total, there were 262,338 crash-involved individuals with a documented injury in the hospital discharge data or on the crash report during the study period; 168,874 had an injury according to hospital discharge data, and 164,158 had an injury in crash report data. Only 70,694 (26.9%) had an injury in both sources. We observed differences by age, race/ethnicity, injury severity, and road user type: hospital discharge data captured a larger share of those ages 65+, those who were Black or Hispanic, those with higher severity injuries, and those who were bicyclists or motorcyclists. CONCLUSIONS: Each data source in isolation captures approximately two-thirds of the entire crash-injured population; one source alone misses approximately one-third of injured individuals. Each source undercounts people in certain groups, so relying on one source alone may not allow for tailored prevention and intervention efforts.

Prescription Opioid Characteristics and Nonfatal Overdose Among Patients Discharged from Tennessee Emergency Departments.

BACKGROUND: Despite increasing trends of nonfatal opioid overdoses in emergency departments (EDs), population-based studies comparing prescription opioid dosing patterns before and after nonfatal opioid overdoses are limited. OBJECTIVES: To evaluate characteristics of prescribing behaviors before and after nonfatal overdoses, with a focus on opioid dosage. METHODS: Included were 5,395 adult residents of Tennessee discharged from hospital EDs after a first nonfatal opioid overdose (2016-2017). Patients were linked to eligible prescription records in the Tennessee Controlled Substance Monitoring Database. We estimated odds ratios (OR) and 95% confidence intervals (CI) to evaluate characteristics associated with filling opioid prescriptions 90 days before overdose and with high daily dose (≥ 90 morphine milligram equivalents) 90 days after overdose. RESULTS: Among patients who filled a prescription both before and after an overdose, the percentage filling a low, medium, and high dose was 33.7%, 31.9%, and 34.4%, respectively, after an opioid overdose (n = 1,516). Most high-dose users before an overdose (>70%) remained high-dose users with the same prescriber after the overdose. Male gender, ages ≥ 35 years, and medium metro residence were associated with increased odds of high-dose filling after an opioid overdose. Patients filling overlapping opioid-benzodiazepine prescriptions and with > 7 days' supply had increased odds of filling high dose after an opioid overdose (OR 1.4, 95% CI 1.08-1.70 and OR 3.7, 95% CI 2.28-5.84, respectively). CONCLUSIONS: In Tennessee, many patients treated in the ED for an overdose are still prescribed high-dose opioid analgesics after an overdose, highlighting a missed opportunity for intervention and coordination of care between ED and non-ED providers.

Disparities in COPD Hospitalizations: A Spatial Analysis of Proximity to Toxics Release Inventory Facilities in Illinois.

Disproportionate distribution of air pollution is a major burden on the health of people living in proximity to toxic facilities. There are over 1000 Toxics Release Inventory (TRI) facilities distributed across the state of Illinois. This study investigates and spatially analyzes the relationship between chronic obstructive pulmonary disease (COPD) hospitalizations and toxic emissions from TRI facilities. In addition, this study investigates the connection between COPD hospitalizations and socioeconomic variables. Accounting for dispersion of air pollution beyond the TRI facilities source was attained using the inverse distance weighting interpolation approach. Multiple statistical methods were used including principal components analysis, linear regression, and bivariate local indicators of spatial association (BiLISA). The results from the linear regression model and BiLISA clustering maps show there is a strong connection between COPD hospitalizations and socioeconomic status along with race. TRI emissions were not statistically significant, but there are three major clusters of high COPD hospitalizations with high TRI emissions. Rural areas also seem to carry a higher burden of pollution-emitting facilities and respiratory hospitalizations.

The accuracy of hospital discharge data in recording major congenital anomalies in Australia.

BACKGROUND: There has been increasing use of hospital discharge data to identify congenital anomalies, with limited information about the accuracy of these data. OBJECTIVES: To evaluate the accuracy of hospital discharge data in ascertaining major congenital anomalies in infants. METHODS: All liveborn infants with major congenital anomalies born between 2004 and 2009 in New South Wales, Australia were included. They were separated into two study groups: (a) infants identified from the Register of Congenital Conditions with a corresponding record in linked hospital discharge data; and (b) infants with a recorded congenital anomaly in hospital data, but without a register record. For the first group, we assessed agreement (concordant diagnoses) and the proportion of anomalies with discrepant diagnoses in each dataset. For the second group, we determined the number of anomalies recorded only in hospital data and applied specific conditions restricting to those recorded in the birth admission, excluding nonspecific diagnoses, or those with relevant surgical procedures to minimize potential false positives or over-reporting. RESULTS: The first study group included 9,346 infants with an average 84% agreement in the ascertainment of major anomalies between hospital and registry data, and >93% agreement for cardiac, abdominal wall, and gastrointestinal anomalies. Discrepant diagnoses occurred on average in 20% of cases from hospital data and 17% from registry data, and were slightly reduced with the use of diagnoses recorded only in tertiary pediatric hospitals. The second group included 25,893 infants where anomalies were only recorded in hospital data, most commonly skin and unspecified anomalies. Excluding unspecified cases, those only diagnosed at the birth admission and restricting to surgical procedures reduced over-reporting by up to 96%. CONCLUSIONS: Hospital discharge data provide an acceptable means to ascertain congenital anomalies, but with variable accuracy for different anomalies. Application of specific conditions and limited to surgical procedures improves the utility of using hospital discharge data to ascertain congenital anomalies.

Criminal punishment and violent injury in Minnesota.

BACKGROUND: Violence is one of the leading causes of injury and death in the United States. One-way society attempts to eliminate violence is through criminal punishment. Yet, in many contexts, punishment fails to reduce violence and may cause other harms. Current research on violence often suffers from same-source bias which can produce spurious associations. This study assesses the associations of different forms of criminal punishment (monetary sanctions, incarceration, and probation) with violent injuries in two unique datasets. METHODS: This study examines a unique combination of hospital discharge data and court administrative data, two Minnesota county-level data sources. First, we assess the spatial distribution of the three criminal punishment variables and two violent injury variables, violent injury overall and violent injury in children by county from 2010 to 2014, using Moran's I statistic and Local Indicators of Spatial Autocorrelation. Then we assess the association of criminal punishment on violent injury and child abuse injury using a two-way fixed effects panel models. RESULTS: Child abuse injuries are relatively rare in our data but are significantly concentrated geographically, unlike violent injuries which are more dispersed throughout Minnesota. Incarceration and probation are significantly geographically concentrated in similar regions while monetary sanctions are not geographically concentrated. We find a link between probation loads and violent injury, specifically, with a 1 day increase in per capita probation supervision associated with a 0.044 increase in violent injury incidence per 1000 people. In contrast, monetary sanctions and incarceration loads have little association with either violent injury or child abuse injury incidence. CONCLUSIONS: Criminal punishment is intended to reduce harm in society, but many argue that it may bring unintended consequences such as violence. This study finds that county-level probation has a modest positive association with county-level violent injury rates, but monetary sanctions and incarceration are less associated with violence injury rates. No measure of criminal punishment was associated with a reduction in violence. This study addresses a gap in previous literature by examining the association of punishment and violence in two unrelated datasets. High rates of criminal punishment and violent injury are both urgent public health emergencies. Further individual-level investigation is needed to assess potential links.

Availability of medical cannabis dispensaries and cannabis abuse/dependence-related hospitalizations in California.

AIMS: To estimate associations between both current- and prior-year medical cannabis dispensary densities and hospitalizations for cannabis use disorder in California, USA between 2013 and 2016. DESIGN: Spatial analysis of ZIP code-level hospitalization discharge data using Bayesian Poisson hierarchical space-time models over 4 years. SETTING AND CASES: California, USA from 2013 to 2016 (6832 space-time ZIP code units). MEASUREMENTS: We assessed associations of annual hospitalizations for cannabis use disorder [assignment of a primary or secondary code for cannabis abuse and/or dependence using ICD-9-CM or ICD-10-CM (outcome)] with the total number of medical cannabis dispensaries per square mile in a ZIP code as well as dispensary temporal and spatial lags (primary exposures). Other exposure covariates included alcohol outlet densities, manual labor and retail sales densities and ZIP code-level economic and demographic conditions. FINDINGS: One additional dispensary per square mile was associated with a median risk ratio of 1.021 (95% credible interval 1.001, 1.041). Prior-year dispensary density did not appear to be associated with hospitalizations (median risk ratio = 1.006, 95% CrI = 0.986, 1.026). Higher median household income, higher unemployment, greater off-premises alcohol outlet density and lower on-premises alcohol outlet density and poverty were all associated with decreased ZIP code-level risk of cannabis abuse/dependence hospitalizations. CONCLUSIONS: In California, USA, the increasing density of medical cannabis dispensaries appears to be positively associated with same-year but not next-year hospitalizations for cannabis use disorder.

Costs of asbestosis and silicosis hospitalization in Italy (2001-2018) : Costs of asbestosis and silicosis hospitalization.

BACKGROUND: Asbestosis and silicosis are preventable fibrotic forms of pneumoconiosis. Decades ago, the World Health Organization began prevention campaigns for eliminating these diseases worldwide. PURPOSE: To establish Italian hospitalization costs of asbestosis and silicosis in relation to national adopted prevention policies. METHODS: This is a retrospective population-based study of Italian hospitalizations treating asbestosis or silicosis in the period 2001-2018. We have extracted data from the National Hospital Discharge Registry and merged with national standard charges of hospitalizations through diagnosis-related group coding. We expressed costs in 2018 euros and evaluated data time-trends by linear normal and logistic regression models. RESULTS: During 2001-2018, hospitalization costs per year were 3,787,540 € for asbestosis and 10,103,215 € for silicosis. There were significant annual reductions in frequency (- 41 and - 266 hospitalizations per year for asbestosis and silicosis, respectively), length of stay (- 148 and - 2781 days per year for asbestosis and silicosis, respectively) and cost (- 43,881 and - 959,516 € per year for asbestosis and silicosis, respectively) of diseases. Length and cost of hospital stay per admission significantly increased over time for asbestosis (+ 0.2 days and + 100 €, respectively, per year). CONCLUSION: Overall hospitalizations costs were higher for silicosis than asbestosis. Over time hospitals treated fewer cases with greater severity. The decreased 2001-2018 consumption of hospital resources by patients with asbestosis or silicosis is associated with the occupational health policies instituted from the 1990s to reduce exposures to asbestos and silica. Extending existing epidemiological surveillance systems to pneumoconioses would help to control the social costs of work-related diseases.

Assessing the relationship between neonatal abstinence syndrome and birth defects in Delaware.

BACKGROUND: Neonatal abstinence syndrome (NAS) is a withdrawal syndrome in newborns and is frequently caused by maternal opioid use during pregnancy. Our study examines whether NAS is associated with birth defects in Delaware. METHODS: We conducted a retrospective analysis of linked Delaware birth certificate data (BCD), hospital discharge data (HDD), and birth defects registry (BDR) data to examine the association between NAS and birth defects for all hospital births to Delaware residents from 2010 to 2017. Birth defects data were abstracted from medical records from Delaware's BDR. We used International Classification of Diseases Ninth and Tenth Revision Clinical Modification (ICD-9-CM/ICD-10-CM) 779.5 and P96.1 codes to determine NAS using HDD and excluded iatrogenic cases of NAS. We estimated crude and adjusted odds ratio with 95% confidence intervals (CIs). RESULTS: During 2010-2017, there were 2,784 cases of birth defects and 1,651 cases of NAS in Delaware. Among infants with a diagnosis of NAS, 56 also had a birth defect (3.4%), similar to 2,728 birth defects among 79,636 infants without a diagnosis of NAS (3.4%). We found no statistically significant association between an NAS diagnosis and birth defects (adjusted odds ratios = 1.0; 95% CI: 0.8-1.3). CONCLUSIONS: Our multiyear state-wide study using linked BCD, HDD, and BDR data for Delaware did not show a statistically significant association between infants diagnosed with NAS and birth defects, overall.

Assessing hospital treatment for alcohol-related injury in Minnesota using 2000 - 2015 hospital discharge data: Opportunities and challenges.

OBJECTIVE: Excessive alcohol use, especially binge drinking, is an important risk factor for unintentional and intentional injuries. This study used hospital discharge data (HDD) to estimate the prevalence and trends of treatments for alcohol-related injury (ARI) in Minnesota, and discussed opportunities and challenges for public health surveillance. METHOD: We examined hospital-treated ARI in Minnesota between 2000 and 2015 using HDD (age ≥12 years). ARI was defined as hospital discharges with an injury diagnosis and a diagnosis related to alcohol in any diagnosis field. RESULTS: The number of hospital-treated injuries increased by 30 % between 2000 and 2015. The number of those injuries that were alcohol-related increased by 166 % from 2000 to 2015. ARI were more likely to be treated as inpatients than all injuries-in 2015, 34 % of ARI were inpatient, compared to 17 % of all injuries. Patients treated for ARI were more likely to be male and older than the average injury patient. In 2015, ARI were more likely than all injuries to be self-inflicted (11.6 % vs. 1.9 %), related to assault (14.4 % vs. 3.6 %), and less likely to be unintentional (63.8 % vs. 78.5 %). CONCLUSIONS: These analyses suggest that the rate of hospital-treated ARI increased more steeply from 2000 to 2015 than all injuries. While there are significant challenges to using HDD for surveillance, further work to assess the validity of the data source is warranted.

The association between use of opiates, cocaine, and amphetamines during pregnancy and maternal postpartum readmission in the United States: A retrospective analysis of the Nationwide Readmissions Database.

BACKGROUND: Substance use during pregnancy has increased in the United States, with adverse consequences for mother and baby. Similarly, postpartum readmission (PPR) imposes physical, emotional, and financial stressors causing disruption to family functioning and childcare. We used national data to estimate the extent to which women who used opiates, cocaine, and amphetamines during pregnancy are at increased risk of PPR. METHODS: We analyzed 2010-2014 data from the Nationwide Readmissions Database (NRD). Our exposure, drug use during pregnancy, was identified using diagnosis codes indicative of opioid, cocaine or amphetamine use, abuse, or dependence. The outcome was all-cause PPR, maternal readmission within 42 days following discharge from the delivery hospitalization. Multivariable logistic regression was used to estimate odds ratios (OR) that represented associations between drug use and PPR. RESULTS: Among 11 million delivery hospitalizations, nearly 1 % had documented use of opiates, cocaine and/or amphetamines. The crude PPR rate was nearly four times higher among users (54.6 per 1000) compared to non-users (14.0 per 1000), and 1 in 10 women who had documented use of more than one drug category experienced postpartum readmission. Even after controlling for sociodemographic and clinical confounders, we observed a two-fold increased odds of PPR among users compared to non-users (OR = 1.95; 95 % CI: 1.82, 2.07). CONCLUSIONS: The national opioid epidemic should encourage a paradigm shift in health care public policy to facilitate the management of all substance use disorders as chronic medical conditions through evidence-based public health initiatives to prevent these disorders, treat them, and promote recovery.

Maternal opioid use disorder at delivery hospitalization in a rural state: Maine, 2009-2018.

OBJECTIVES: A multistate analysis found Maine had the second highest average annual increase in maternal opioid use disorder (OUD) at delivery hospitalization during 1999-2012. The objective of our analysis was to estimate the prevalence, maternal characteristics, and geographic distribution of OUD at delivery hospitalization in Maine using recent state-level data. STUDY DESIGN: Serially collected cross-sectional population-based data. METHODS: We used diagnosis and procedure codes to identify deliveries among hospital discharges in Maine, 2009-2018 (n = 120,764), and to categorize deliveries according to the prevalence of maternal OUD and selected conditions. We assessed linear trends in OUD at delivery and calculated prevalence ratios (PR) for co-occurring maternal conditions. RESULTS: The prevalence of maternal OUD per 1000 deliveries in Maine increased from 22.7 in 2009 to 34.9 in 2018 (linear trend P value < 0.01), with a mean annual increase of 1.6 (95% confidence interval [CI]: 0.9 to 2.4). The following conditions were more prevalent among women with OUD at delivery: hepatitis C, PR = 45.8 (95% CI: 38.8 to 54.2); other drug abuse or dependence, PR = 16.8 (13.4 to 20.9); alcohol abuse and dependence, PR = 8.5 (5.8 to 12.5); nicotine use, PR = 6.0 (5.9 to 6.2); cannabis use, PR = 5.2 (4.6 to 5.9); anxiety, PR = 2.7 (2.5 to 3.2); and depression, PR = 2.7 (2.4 to 3.1). Women with OUD at delivery were also more likely to reside in small rural areas (27.3% vs 22.5%) and deliver in a hospital with a level III nursery (50.6% vs 34.9%). CONCLUSIONS: Maternal OUD now accounts for 1 in 29 deliveries in Maine and commonly occurs with other medical conditions. Prevention and treatment of OUD among reproductive age women in Maine remains needed.