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.

Autoimmune diseases as comorbidities for liver, gallbladder, and biliary duct cancers in Sweden.

BACKGROUND: Autoimmune diseases are associated with many cancers but there is a lack of population-based studies with different autoimmune diseases that have a long follow-up. This is also true of hepatobiliary cancers, which include hepatocellular cancer (HCC) and rarer entities of gallbladder cancer (GBC), intra- and extrahepatic cholangiocarcinoma (iCCA and eCCA), and ampullary cancer. METHODS: Diagnostic data on 43 autoimmune diseases were collected from the Swedish Inpatient Register from 1987 to 2018, and cancer data were derived from the national cancer registry from 1997 onward. Relative risks were expressed as standardized incidence ratios (SIRs). RESULTS: In a population of 13.6 million, 1.1 million autoimmune diseases were diagnosed and subsequent hepatobiliary cancer was diagnosed in 3191 patients (17.2% of cancers). SIRs for HCC were 2.73 (men) and 2.86 (women), 3.74/1.96 for iCCA, 2.65/1.37 for GBC, 2.38/1.64 for eCCA, and 1.80/1.85 for ampullary cancer. Significant associations between autoimmune disease and HCC were observed for 13 autoimmune diseases, with the highest risks being for autoimmune hepatitis (48.92/73.53, men/women) and primary biliary cirrhosis (38.03/54.48). GBC was increased after six autoimmune diseases, with high SIRs for ulcerative colitis (12.22/3.24) and men with Crohn disease (9.16). These autoimmune diseases were also associated with a high risk of iCCA, which had seven other associations, and eCCA, which had five other associations. Ampullary cancer occurrence was increased after four autoimmune diseases. CONCLUSION: An autoimmune disease is a common precursor condition for hepatobiliary cancers. This calls for careful control of autoimmune disease symptoms in each patient and encouragement to practice a healthy lifestyle.

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.

How did the COVID-19 pandemic affect inpatient care for children in Germany? An exploratory analysis based on national hospital discharge data.

BACKGROUND: The delivery of health services around the world faced considerable disruptions during the COVID-19 pandemic. While this has been discussed for a number of conditions in the adult population, related patterns have been studied less for children. In light of the detrimental effects of the pandemic, particularly for children and young people under the age of 18, it is pivotal to explore this issue further. METHODS: Based on complete national hospital discharge data available via the German National Institute for the Reimbursement of Hospitals (InEK) data browser, we compare the top 30 diagnoses for which children were hospitalised in 2019, 2020, 2021 and 2022. We analyse the development of monthly admissions between January 2019 and December 2022 for three tracers of variable time-sensitivity: acute lymphoblastic leukaemia (ALL), appendicitis/appendectomy and tonsillectomy/adenoidectomy. RESULTS: Compared to 2019, total admissions were approximately 20% lower in 2020 and 2021, and 13% lower in 2022. The composition of the most frequent principal diagnoses remained similar across years, although changes in rank were observed. Decreases were observed in 2020 for respiratory and gastrointestinal infections, with cases increasing again in 2021. The number of ALL admissions showed an upward trend and a periodicity prima vista unrelated to pandemic factors. Appendicitis admissions decreased by about 9% in 2020 and a further 8% in 2021 and 4% in 2022, while tonsillectomies/adenoidectomies decreased by more than 40% in 2020 and a further 32% in 2021 before increasing in 2022; for these tracers, monthly changes are in line with pandemic waves. CONCLUSIONS: Hospital care for critical and urgent conditions among patients under the age of 18 was largely upheld in Germany during the COVID-19 pandemic, potentially at the expense of elective treatments. There is an alignment between observed variations in hospitalisations and pandemic mitigation measures, possibly also reflecting changes in demand. This study highlights the need for comprehensive, intersectoral data that would be necessary to better understand changing demand, unmet need/foregone care and shifts from inpatient to outpatient care, as well as their link to patient outcomes and health care efficiency.

Discharge Monitoring in Open-Channels: An Operational Rating Curve Management Tool.

An aspect correlated with climate change is certainly represented by the alternation of severe floods and relevant drought periods. Moreover, there is evidence that changes in climate and land cover are inducing changes in stream channel cross-sections, altering local channel capacity. A direct consequence of a significant change in the local channel capacity is that the relationship between the amount of water flowing at a given point in a river or stream (usually at gauging stations) and the corresponding stage in that section, known as a stage-discharge relationship or rating curve, is changed. The key messages deriving from the present work are: (a) the more frequent and extreme the floods become, the more rapid the changes in the stream channel cross-section become, (b) from an operational point of view, the collection and processing of field measurements of the stage and corresponding discharge at a given section in order to quickly and frequently update the rating curve becomes a priority. It is, therefore, necessary to define a control system for acquiring hydrological data capable of keeping river levels and discharges under control to support flood early warnings and water management. The proposed stage-discharge management system is used by the Civil Protection Service of the Marche Region (east-central Italy) for the monitoring of river runoff in the regional watersheds. The Civil Protection Service staff performs stage-discharge field measurements using water level sensors and recorders (e.g., staff gauges, submersible pressure transducers, ultrasound and radar sensors) and a current meter, acoustic doppler velocimeter, acoustic doppler current profilers, portable mobile radar profiler and salt dilution method equipment, respectively. Power functions are fitted to the stage-discharge field data. Furthermore, extrapolation is performed to cover the full range of flow measurements; in general, extrapolation is not an easy task because of sharp changes in the stream cross-section geometry for very high or very low stages. In the present work, we also focused attention on the application problems that occur in practice and the need for frequent updating.

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.

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.

Prescribing patterns before and after a non-fatal drug overdose using Tennessee's controlled substance monitoring database linked to hospital discharge data.

We performed a statewide evaluation of prescribing patterns of controlled substances (CS) before and after an overdose, using Tennessee's Hospital Discharge Data System and the Controlled Substance Monitoring Database (CSMD). Adults' first non-fatal overdose discharges either from the emergency department (ED) or inpatient (IP) stay occurring between 2013 and 2016 were linked to prescriptions in the CSMD. The difference in the proportion of patients filling a prescription before versus after an overdose was calculated. Included were 49,398 patients with an overdose and a prescription record; most (60.5%) were treated in the ED. Among any drug type overdose the percentage of patients who filled a CS prescription within a year of experiencing an overdose was as follows: opioid analgesics: 59.1%, benzodiazepines: 37.3%, stimulants: 5.0%, muscle relaxants: 3.4%, concurrent opioid-benzodiazepines: 24.0% with the percent difference from before to after similar in both settings. Among patients treated for an opioid overdose, this represented a decrease in opioid analgesics filled by 9.7% (95%CI: -11.2, -8.3) among those treated in the ED, and by 7.1% (95% CI: -8.3, -5.9) among treated inpatients. Among patients treated for a heroin overdose, 12.2% (95%CI: -15.2, -9.3) fewer of those treated in the ED and 8.8% (95%CI: -15.0, -2.7%) fewer of treated inpatients filled a CS prescription in that year. The most common opioid analgesics included hydrocodone and oxycodone. The number of patients filling buprenorphine for treatment increased in the year after overdoses associated with any drug or opioids but decreased among those treated for a heroin overdose.

Estimating the obstetric co-morbidity burden using administrative data: The impact of the pregnancy-related assessment window.

BACKGROUND: Despite increased research using large administrative databases to identify determinants of maternal morbidity and mortality, the extent to which these databases capture obstetric co-morbidities is unknown. OBJECTIVE: To evaluate the impact that the time window used to assess obstetric co-morbidities has on the completeness of ascertainment of those co-morbidities. METHODS: We conducted a five-year analysis of inpatient hospitalisations of pregnant women from 2010-2014 using the Nationwide Readmissions Database. For each woman, using discharge diagnoses, we identified 24 conditions used to create the Obstetric Comorbidity Index. Using various assessment windows for capturing obstetric co-morbidities, including the delivery hospitalisation only and all weekly windows from 7 to 280 days, we calculated the frequency and rate of each co-morbidity and the degree of underascertainment of the co-morbidity. Under each scenario, and for each co-morbidity, we also calculated the all-cause, 30-day readmission rate. RESULTS: There were over 3 million delivery hospitalisations from 2010 to 2014 included in this analysis. Compared with a full 280-day window, assessment of obstetric co-morbidities using only diagnoses made during the delivery hospitalisation would result in failing to identify over 35% of cases of chronic renal disease, 28.5% cases in which alcohol abuse was documented during pregnancy, and 23.1% of women with pulmonary hypertension. For seven other co-morbidities, at least 1 in 20 women with that condition would have been missed with exclusive reliance on the delivery hospitalisation for co-morbidity diagnoses. Not only would reliance on delivery hospitalisations have resulted in missed cases of co-morbidities, but for many conditions, estimates of readmission rates for women with obstetric co-morbidities would have been underestimated. CONCLUSIONS: An increasing proportion of maternal and child health research is based on large administrative databases. This study provides data that facilitate the assessment of the degree to which important obstetric co-morbidities may be underascertained when using these databases.

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.

Using hospital discharge data for injury research or surveillance? An observational study illustrating the impact of administrative change.

INTRODUCTION: Hospital discharge data provide an important basis for determining priorities for injury prevention and monitoring trends in incidence. This study aims to illustrate the impact of a recent change in administrative practice on estimates of hospitalised injury incidence and to investigate the extent to which different case selection affects trends in injury incidence rates. METHODS: New Zealand (NZ) hospital discharges (2000-2014) with a primary diagnosis of injury were identified. Additional case selection criteria included first admissions only, and for serious injury, a high threat-to-life estimate. Comparisons were made, over time and by District Health Board, between hospitalised injury incidence estimates that included, or not, short-stay emergency department (SSED) discharges. RESULTS: Of the 1 229 772 injury hospital discharges, 365 114 were SSED; 16% of the annual total in 2000, 38% in 2014. Identification of readmissions prior to the exclusion of SSED discharges resulted in 30 724 cases being erroneously removed. Age-standardised rates of hospitalised injury over the 15-year period increased by, on average, 2.7% per year when SSED discharges were included; there was minimal secular change (-0.2%) when SSEDs were excluded. For serious hospitalised injury, the annual increase was 2.3% when SSED was included compared with 1.1% when SSEDs were excluded. CONCLUSION: Spurious trends in hospitalised injury incidence can result when administrative practices are not appropriately accounted for. Exclusion of SSED discharges before the identification of readmissions and the use of a severity threshold are recommended to minimise the reporting bias in NZ hospitalised injury incidence estimates.

Complex gastric surgery in Germany-is centralization beneficial? Observational study using national hospital discharge data.

PURPOSE: This observational study explored the association between hospital volume and short-term outcome following gastric resections for non-bariatric indication, aiming to contribute to the discussion on centralization of complex visceral surgery in Germany. METHODS: Based on complete national hospital discharge data from 2010 to 2015, the association between hospital volume and in-hospital mortality was evaluated according to volume quintiles and volume deciles. Case-mix differences regarding surgical indication, age, sex, and comorbidities were considered for risk adjustment. In addition, rates of major complications and failure to rescue were analyzed across hospital volume categories. RESULTS: Inpatient episodes (72,528) with gastric resection were analyzed. Risk-adjusted mortality in patients treated in very low volume hospitals (median volume of 5 surgeries per year) was higher (12.0% [95% CI 11.4 to 12.5]) compared to those treated in very high volume hospitals (50 surgeries per year; 10.6% [10.0 to 11.1]). Failure to rescue patients with complications was 28.1% [27.0 to 29.3] in very low volume hospitals and 22.7% [21.6 to 23.8] in very high volume hospitals. Differences were similar within the subgroup of patients operated for gastric cancer. CONCLUSIONS: Treatment in very high volume hospitals is associated with a lower in-hospital mortality compared to treatment in very low volume hospitals. This effect seems to be determined by the ability to rescue patients who experience complications. As the observed benefit is only related to very high volumes, the results do not clearly indicate that centralization may improve short-term results substantially, unless a very high degree of centralization would be achieved. Possibly, further research focusing on other outcome measures, such as clinical processes or long-term results, might lead to divergent conclusions.

Getting a grippe on severity: a retrospective comparison of influenza-related hospitalizations and deaths captured in reportable disease and administrative data sources in Ontario, Canada.

BACKGROUND: Since 2009, in Ontario, reportable disease surveillance data has been used for timely in-season estimates of influenza severity (i.e., hospitalizations and deaths). Due to changes in reporting requirements influenza reporting no longer captures these indicators of severity, necessitating exploration of other potential sources of data. The purpose of this study was to complete a retrospective analysis to assess the comparability of influenza-related hospitalizations and deaths captured in the Ontario reportable disease information system to those captured in Ontario's hospital-based discharge database. METHODS: Hospitalizations and deaths of laboratory-confirmed influenza cases reported during the 2010-11 to 2013-14 influenza seasons were analyzed. Information on hospitalizations and deaths for laboratory-confirmed influenza cases were obtained from two databases; the integrated Public Health Information System, which is the provincial reportable disease database, and the Discharge Abstract Database, which contains information on all in-patient hospital visits using the International Classification of Diseases, 10th Revision, Canada (ICD-10-CA) coding standards. Analyses were completed using the ICD-10 J09 and J10 diagnosis codes as an indicator for laboratory-confirmed influenza, and a secondary analysis included the physician-diagnosed influenza J11 diagnosis code. RESULTS: For each season, reported hospitalizations for laboratory-confirmed influenza cases in the reportable disease data were higher compared to hospitalizations with J09 and J10 diagnoses codes, but lower when J11 codes were included. The number of deaths was higher in the reportable disease data, whether or not J11 codes were included. For all four seasons, the weekly trends in the number of hospitalizations and deaths were similar for the reportable disease and hospital data (with and without J11), with seasonal peaks occurring during the same week or within 1 week of each other. CONCLUSION: In our retrospective analyses we found that hospital data provided a reliable estimate of the trends of influenza-related hospitalizations and deaths compared to the reportable disease data for the 2010-11 to 2013-14 influenza seasons in Ontario, but may under-estimate the total seasonal number of deaths. Hospital data could be used for retrospective end-of-season assessments of severity, but due to delays in data availability are unlikely to be timely estimates of severity during in-season surveillance.

Amputation rates of the lower limb by amputation level - observational study using German national hospital discharge data from 2005 to 2015.

BACKGROUND: In international comparisons, rates of amputations of the lower limb are relatively high in Germany. This study aims to analyze trends in lower limb amputations over time, as well as outcomes of care concerning in-hospital mortality and reamputation rates during the same hospital stay which might indicate the quality of surgical and perioperative health care processes. METHODS: This work is an observational population-based study using complete national hospital discharge data (Diagnosis-Related Group Statistics (DRG Statistics)) from 2005 to 2015. All inpatient cases with lower limb amputation were identified and stratified by eight amputation levels. Time trends of case numbers and in-hospital mortality were studied age-sex standardized. For inpatient cases with reamputation during the same hospital stay, first and last amputation levels were cross tabulated. RESULTS: A total of 55,595 amputations of the lower limb in 2015 (52,096 in 2005) were identified. After age-sex standardization to the demographic structure of 2005, a relative decrease of - 11.1% was revealed (men - 2.6%, women - 25.0%). The stratified analysis by amputation levels showed that the decreases were induced by higher amputation levels, whereas the amputation levels of toe/foot ray after standardization still showed a relative increase of + 12.8%. In-hospital mortality of all cases with lower limb amputation fell from 11.2% in 2005 to 7.7% in 2015 (SMR 0.89 [95% CI 0.86; 0.92]). The percentage of reamputations during the same hospital stay declined from 13.2 to 10.2%. CONCLUSIONS: The number of lower limb amputations declined in Germany, however distinctly stronger in women than in men. The observed decreases of in-hospital mortality as well as of reamputation rates point to improvements in perioperative health care. Despite these indications of improvements, the distinct increase in case numbers at the level of toe/foot ray calls for additional targeted prevention efforts, especially for patients with diabetes.

Total knee arthroplasty in Italy: reflections from the last fifteen years and projections for the next thirty.

PURPOSE: Annual rates of knee arthroplasty are increasing in all developed countries, imposing a significant economic and organizational burden; it is crucial to forecast the future need for knee arthroplasty, to assist stakeholders in planning strategies and investments, especially in a country like Italy, with the largest proportion of elderly citizens in Europe. Few epidemiological studies have been performed worldwide to estimate the demand for future knee replacement, and a variety of methods have been proposed. METHODS: We investigated the epidemiology of knee arthroplasty performed in Italy in the last 15 years and projected incidence rates up to the year 2050, utilizing, comparing, and adapting the available methodologies. RESULTS: From 2001 to 2016, 812,639 primary TKA were performed in Italy on patients over 40. The total number of surgeries increased by 262% with an average annual growth rate of 6.6%. CONCLUSIONS: Adopting the best fitting projection method, an increase of 45% in incidence rate is expected for 2050.

Hospitalisations due to bacterial gastroenteritis: A comparison of surveillance and hospital discharge data.

Studies estimating the human health impact of the foodborne disease often include estimates of the number of gastroenteritis hospitalisations. The aims of this study were to examine the degree to which hospital discharge data underreport hospitalisations due to bacterial gastroenteritis and to estimate the frequency of stool sample submission among patients presenting with gastroenteritis. Using linked laboratory and hospital discharge data from a healthcare organisation and its affiliated hospital, we examined the International Classification of Disease (ICD-9-CM) diagnosis codes assigned to hospitalised adults with culture-confirmed Campylobacter, Salmonella, or Escherichia coli O157 infections and determined the frequency of stool sample submission. Among 138 hospitalised patients with culture-confirmed infections, 43% of Campylobacter patients, 56% of Salmonella patients and 35% of E. coli O157 patients had that pathogen-specific code listed on the discharge record. Among patients without their infection listed as a diagnosis, 65% were assigned a nonspecific gastroenteritis code. Submitting a specimen for culture ⩾3 days before discharge was significantly associated with having the pathogen-specific diagnosis listed. Of 6181 patients assigned a nonspecific gastroenteritis code, 69% had submitted a stool sample for bacterial culture. This study can be used to understand differences and adjust for the underreporting and underdiagnosed of Campylobacter, Salmonella and E. coli O157 in hospital discharge and surveillance data, respectively.

Gestational age and 1-year hospital admission or mortality: a nation-wide population-based study.

BACKGROUND: Describe the 1-year hospitalization and in-hospital mortality rates, in infants born after 31 weeks of gestational age (GA). METHODS: This nation-wide population-based study used the French medico-administrative database to assess the following outcomes in singleton live-born infants (32-43 weeks) without congenital anomalies (year 2011): neonatal hospitalization (day of life 1 - 28), post-neonatal hospitalization (day of life 29 - 365), and 1-year in-hospital mortality rates. Marginal models and negative binomial regressions were used. RESULTS: The study included 696,698 live-born babies. The neonatal hospitalization rate was 9.8%. Up to 40 weeks, the lower the GA, the higher the hospitalization rate and the greater the likelihood of requiring the highest level of neonatal care (both p < 0.001). The relative risk adjusted for sex and pregnancy-related diseases (aRR) reached 21.1 (95% confidence interval [CI]: 19.2-23.3) at 32 weeks. The post-neonatal hospitalization rate was 12.1%. The raw rates for post-neonatal hospitalization fell significantly from 32 - 40 and increased at 43 weeks and this persisted after adjustment (aRR = 3.6 [95% CI: 3.3-3.9] at 32 and 1.5 [95% CI: 1.1-1.9] at 43 compared to 40 weeks). The main causes of post-neonatal hospitalization were bronchiolitis (17.2%), gastroenteritis (10.4%) ENT diseases (5.4%) and accidents (6.2%). The in-hospital mortality rate was 0.85‰, with a significant decrease (p < 0.001) according to GA at birth (aRR = 3.8 [95% CI: 2.4-5.8] at 32 and 6.6 [95% CI: 2.1-20.9] at 43, compared to 40 weeks. CONCLUSION: There's a continuous change in outcome in hospitalized infants born above 31 weeks. Birth at 40 weeks gestation is associated with the lowest 1-year morbidity and mortality.

Public Health Data in Action: An Analysis of Using Louisiana Vital Statistics for Quality Improvement and Payment Reform.

Introduction In 2012, the Louisiana (LA) Department of Health and Hospitals revised the LA birth certificate to include medical reasons for births before 39 completed weeks' gestation. We compared the completeness and validity of these data with hospital discharge records. Methods For births occurring 4/1/2012-9/30/2012 at Woman's Hospital of Baton Rouge, we linked maternal delivery and newborn birth data collected through the National Perinatal Information Center with LA birth certificates. Among early term births (37-38 completed weeks' gestation), we quantified the reasons for early delivery listed on the birth certificate and compared them with ICD-9-CM codes from Woman's discharge data. Results Among 4353 birth certificates indicating delivery at Woman's Hospital, we matched 99.8% to corresponding Woman's administrative data. Among 1293 early term singleton births, the most common reasons for early delivery listed on the birth certificate were spontaneous active labor (57.5%), gestational hypertensive disorders (15.3%), gestational diabetes (8.7%), and premature rupture of membranes (8.1%). Only 2.7% of births indicated "other reason" as the only reason for early delivery. Most reasons for early delivery had >80% correspondence with ICD-9-CM codes. Lower correspondence (35 and 72%, respectively) was observed for premature rupture of membranes and abnormal heart rate or fetal distress. Discussion There was near-perfect ability to match LA birth certificates with Woman's Hospital records, and the agreement between reasons for early delivery on the birth certificate and ICD-9-CM codes was high. A benchmark of 2.7% can be used as an attainable frequency of "other reason" for early delivery reported by hospitals. Louisiana implemented an effective mechanism to identify and explain early deliveries using vital records.

[Perinatal health and medical administrative data: What uses, which stakeholders, what the issues for birth data? - Special REDSIAM]. / Périnatalité et bases de données médico-administratives : quels usages, quels acteurs, quels enjeux pour les données sur les naissances ? ­ Spécial REDSIAM.

BACKGROUND: The uses of medical administrative data (MAD/BDMA) emerged in perinatal health following the work on regionalization of very pre-term birth. They have become more numerous since the late 2000s. The objective of this article is to take stock of the existing work carried out within the REDSIAM-perinatality group, on MAD/BDMA and their uses for the period of "birth". METHODS: The studied MADs are the Hospital Discharge Data (PMSI) and the French national health database (SNIIRAM). The material includes knowledge shared by the members of the REDSIAM-perinatality group, scientific references and gray literature. RESULTS: Our exploratory study shows that the uses of MAD in perinatal health are diversified at the local, regional and national levels. The works and publications, increasing, take the form of public access of processed data. Collective thinking makes it possible to move from a localized use to an institution, a network or several, to a national use and an inscription in public authorities' responses. In 2015/2016, two institutional sites provide access to data on maternal and child health: Data.Drees and ATIH ScanSanté. MAD/BDMA uses are multiple: epidemiological use (count of births by gestational age, weight in particular; perinatal indicators), quality of care, planning (maternity activities, regionalization of care). There is an increasing interest among stakeholders, producers and/or operators of MAD/BDMA (decision-makers, professionals or researchers). CONCLUSION: The BDMA, including the PMSI and the SNIIRAM, are used and relevant in Perinatal health with the rise of health networks, the territorialisation of health, in an increased demand for quality of care. Their use will increase the reliability of the data collected and an inscription in the validation studies, more and more numerous in the field of BDMA. The algorithms need to be more finely compiled, validated and enhanced.