Raw Mortality Research Articles

Zusammenhang zwischen der regionalen Siedlungsstruktur und der Krankenhausinzidenz, Therapieform und Mortalität von nicht-rupturierten abdominalen Aortenaneurysmen. Sekundärdatenanalyse der deutschen DRG-Statistik von 2005–2014

In Germany, the regional settlement structure is heterogenous, ranging from densely populated cities with a tight network of vascular health care to large regions in which access to health care is limited in terms of space and time. Therefore, the aim of this secondary data analysis was to investigate the association between the settlement structure of the patient's home district (KT), and the hospital incidence, type of therapy, and mortality of non-ruptured abdominal aortic aneurysms (nrAAA). The microdata of the DRG statistics of the Federal Statistical Office for the years 2005-2014 were evaluated. All patients with nrAAA (ICD-10 Code I71.4) who were admitted to a German hospital and treated by open surgery and endovascular repair were included. Classification of treatment was based on the German Operation and Procedure Code. Patients were grouped according to the settlement structure of their home district defined by the Federal Institute for Research on Building, Urban Affairs and Spatial Development (KT1 independent city, KT2 urban district, KT3 rural district, KT4 sparsely populated region). The age-, sex- and risk-adjusted association between the type of settlement structure and in-hospital mortality was analysed using a multivariable multi-level regression model. The Elixhauser co-morbidity score validated for administrative data was used for risk adjustment. Of 95,452 cases included, 88% were men. Mean age was 72 years. There were 28,970 (30%) patients in KT1, 37,759 (40%) in KT2, 14,442 (15%) in KT3 and 14,281 (15%) in KT4. The hospital incidence was 12.4 per 100,000 inhabitants in KT1, 11.8 in KT2, 10.8 in KT3 and 11.2 in KT4 (p<0.001, falling trend). The proportion of EVAR treatment was 56% in KT1, 54% in KT2, 57% KT3, and 59% in KT4 (p<0.001, increasing trend). The raw hospital mortality of patients from KT1 to KT4 was 3.4%, 3.4%, 3.2% and 3.6%, respectively (p=0.553 for trend). The multivariable regression analysis revealed no statistically significant association between the KT and hospital mortality (KT1=reference, RR KT2=0.97 [95% CI 0.79-1.15], RR KT3=0.98 [0.81-1.14], RR KT4=0.98 [0.86-1.11]). The study shows that both the hospital incidence and the type of therapy (endovascular vs. open) differed between the settlement structural district types, but there is no urban-rural gap regarding in-hospital mortality of treated nrAAA.

Multi-output Gaussian processes for multi-population longevity modelling

Abstract We investigate joint modelling of longevity trends using the spatial statistical framework of Gaussian process (GP) regression. Our analysis is motivated by the Human Mortality Database (HMD) that provides unified raw mortality tables for nearly 40 countries. Yet few stochastic models exist for handling more than two populations at a time. To bridge this gap, we leverage a spatial covariance framework from machine learning that treats populations as distinct levels of a factor covariate, explicitly capturing the cross-population dependence. The proposed multi-output GP models straightforwardly scale up to a dozen populations and moreover intrinsically generate coherent joint longevity scenarios. In our numerous case studies, we investigate predictive gains from aggregating mortality experience across nations and genders, including by borrowing the most recently available “foreign” data. We show that in our approach, information fusion leads to more precise (and statistically more credible) forecasts. We implement our models in R, as well as a Bayesian version in Stan that provides further uncertainty quantification regarding the estimated mortality covariance structure. All examples utilise public HMD datasets.

Renin-angiotensin system inhibitors effect before and during hospitalization in COVID-19 outcomes: Final analysis of the international HOPE COVID-19 (Health Outcome Predictive Evaluation for COVID-19) registry

BackgroundThe use of Renin-Angiotensin system inhibitors (RASi) in patients with coronavirus disease 2019 (COVID-19) has been questioned because both share a target receptor site.MethodsHOPE-COVID-19 (NCT04334291) is an international investigator-initiated registry. Patients are eligible when discharged after an in-hospital stay with COVID-19, dead or alive. Here, we analyze the impact of previous and continued in-hospital treatment with RASi in all-cause mortality and the development of in-stay complications.ResultsWe included 6503 patients, over 18 years, from Spain and Italy with data on their RASi status. Of those, 36.8% were receiving any RASi before admission. RASi patients were older, more frequently male, with more comorbidities and frailer. Their probability of death and ICU admission was higher. However, after adjustment, these differences disappeared. Regarding RASi in-hospital use, those who continued the treatment were younger, with balanced comorbidities but with less severe COVID19. Raw mortality and secondary events were less frequent in RASi. After adjustment, patients receiving RASi still presented significantly better outcomes, with less mortality, ICU admissions, respiratory insufficiency, need for mechanical ventilation or prone, sepsis, SIRS and renal failure (p<0.05 for all). However, we did not find differences regarding the hospital use of RASi and the development of heart failure.ConclusionRASi historic use, at admission, is not related to an adjusted worse prognosis in hospitalized COVID-19 patients, although it points out a high-risk population. In this setting, the in-hospital prescription of RASi is associated with improved survival and fewer short-term complications.

Emergency Medical Service Transport Time and Trauma Outcomes at an Urban Level 1 Trauma Center: Evaluation of Prehospital Emergency Medical Service Response.

The use of helicopter emergency medical services (HEMS) for trauma patients has been debated since its introduction. We aim to compare outcomes for trauma patients transported by ground EMS (GEMS) vs. HEMS using raw and adjusted mortality in a level 1 trauma center. A 6-year retrospective cohort study utilizing our level 1 trauma center registry for patients transferred by GEMS or HEMS was performed. Demographics and outcome measures were compared. Raw and adjusted mortality was evaluated. Adjusted mortality was determined incorporating confounders, including patient demographics, comorbid conditions, mechanism of injury, injury severity score (ISS), Glasgow Coma Scale score, and EMS transport time. Chi-square, multivariable logistic regression, and independent sample T-test were utilized with significance, defined as P < .05. Of 12633 patients, 10656 were transported via GEMS and 1977 with HEMS. Mean age was 55 for GEMS and 40 for HEMS (P < .001). Mean ISS was 9.29 and 11.73 for GEMS and HEMS (P < .001). Mean Revised Trauma Score was higher (less severe) for GEMS vs. HEMS (7.6 vs. 7.12, P < .001). Mean transport times for GEMS and HEMS was 39.45 vs. 47.29minutes (P = .02). Raw mortality was 2.55% (307/10656) for GEMS and 6.78% (134/1977) for HEMS. Adjusted mortality revealed a 16.6% increased mortality for GEMS compared to HEMS (adjusted odds ratio = 1.166, 95% CI: .815-1.668). Air-lifted trauma patients were younger, more severely injured, and more hemodynamically unstable and required longer transport time but experienced lower adjusted mortality. Future research is needed to investigate whether reducing transport times and augmenting the advanced care already implemented by HEMS crews can improve outcomes.

Racial disparities in mortality after severe traumatic brain injury in childhood: mediators identified by Oaxaca-Blinder decomposition of trauma registry data

BackgroundIn the United States social disparities in health outcomes are found wherever they are sought, and they have been documented extensively in trauma care. Because social factors cannot cause a trauma outcome directly, there must exist mediating causal factors related to the nature and severity of the injury, the robustness of the victim, access to care, or processes of care. An understanding these mediators is the point of departure for addressing inequities in outcomes.FindingsData were extracted from the registry of the Trauma Quality Improvement Program of the American College of Surgeons for 2007 through 2010. Inclusion criteria were age less than 19 years and head Abbreviated Injury Scale score of 4, 5, or 6. An Oaxaca-Blinder decomposition was undertaken to analyze the relative contributions of a large set of covariates to the difference in mortality rates between Black and White children. Covariates were aggregated into the following categories: “Severity,” “Structure and Process,” “Mechanism,” “Demographics,” and “Insurance.” Eligible for analysis were 7273 White children and 2320 Black children. There were 1661 deaths (17.3%) The raw mortality rates were 15.6 and 22.8% for White and Black children, respectively. Factors categorized as “Severity” accounted for 95% of the mortality difference, “Mechanism” accounted for 13%, “Insurance” accounted for 5%, and “Demographics” accounted for 2%. The contribution of “Structure and Process” did not attain statistical significance.ConclusionsSeverity of injury accounts for most of the disparity between Black and White children in traumatic brain injury mortality rates. Mechanism, insurance status, and gender make a small contributions. Because insurance status like other social factors cannot directly affect trauma survival, what mediates its contribution requires further study.

The association between physician staff numbers and mortality in English hospitals.

BackgroundPhysician medical specialties place specific demands on medical staff. Often patients have multiple co-morbidities, frailty is common, and mortality rates are higher than other specialties such as surgery. The key intervention for patients admitted under physician subspecialties is the care provided on the ward. The current evidence base to inform staffing in physician medical specialty wards is limited. The aim of this analysis is to investigate the association between medical staffing levels within physician medical specialties and mortality.MethodsThis study is a cross-sectional analysis of national data, which is aggregated at provider level. Medical beds per senior, middle grade and junior physicians employed in physician medical specialties were calculated from national employment records for acute hospitals in England, in 2017. Outcome measures included unadjusted mortality rate and Summary Hospital-level Mortality Indicator (SHMI) in physician medical specialties. Both Raw mortality and SHMI include deaths during admission or within 30 days following discharge. Linear regression models were constructed for each medical staffing grade for unadjusted mortality, SHMI and SHMI adjusted for local provider factors.FindingsThe mean number of medical beds per senior, middle grade and junior physicians were 7.3(SD 2.5), 19.7(11.5), 10.1(3.1) respectively. Lower bed numbers per medical staff grade were associated with lower than expected mortality by SHMI; senior(Coefficient 0.012(95%CI:0.005–0.018),p = 0.001), middle grade(0.002(0.0002–0.005),p = 0.032) and junior(0.008(0.002–0.015),p = 0.014). Hospital providers were more likely to achieve a better than expected mortality (SHMI<1) if beds per physician were lower than; 5.3, 14.6 and 9.0 for senior, middle grade and junior doctors respectively.InterpretationAcute hospital providers with fewer beds per medical staff of all grades are associated with lower than expected mortality.FundingNo external funding is associated with this analysis.

TAVI en la curva de aprendizaje en España. Resultados intrahospitalarios comparados con la sustitución valvular aórtica

Introduction and objectivesTranscatheter aortic valve implantation (TAVI) has been postulated as an alternative to surgical replacement (SAVR). The results of both procedures were compared using the Minimum Basic Data Set of the National Health System (NHS). MethodsRetrospective observational study. Patients discharged from Spanish National Health System hospitals who underwent a SVA or TAVI procedure between 2014 and 2015. Outcome variables analysed: in-hospital mortality, length of stay and complication rate. In-hospital mortality was adjusted by risk (multilevel logistic regression) and length of stay by severity, also contrasting in-hospital mortality between TAVI and SVA using propensity score matching. ResultsAmong 17 343 identified procedures of TAVI or SVA, we selected 1725 TAVI and 8616 isolated valvular SVA. TAVI patients had higher mean age (81.1±6.6 vs 70.2±11.4 years; P <.001), higher proportion of women (52.2% vs 42.9%; P <.001) and more comorbidities (Charlson index: 7.2±1.6 vs 6.5±1.7; P <.001). The raw in-hospital mortality was 4.46% in TAVI and 4.53% in SVA. TAVI showed lower risk-adjusted in-hospital mortality than SVA (OR, 0.58; 95%CI, 0.44-0.7; P <.001), also being found using propensity score matching (OR, 0.49; 95%CI, 0.36-0.66; χ2, P <.001). The adjusted mean stay was higher in SVA. ConclusionsIn the 2014-5 period, for a population more complex than those undergoing SVA, TAVI showed less mortality and mean stay with higher rate of some non-fatal in-hospital events than SVA.

Association between gender and outcomes of acute burns patients.

Burn injuries are a complex and serious public health concern. Where the total body surface area of the burn exceeds 50%, mortality rates as high as 48% have been reported. While the association between gender and burn injury outcomes has been explored, findings are inconsistent. Adult patients (>15 years) admitted between 1 July 2009 and 30 June 2018 to intensive care units of burn centres that provide specialist burn care in Australia and New Zealand were included. Raw mortality rates were examined and a multivariable Cox proportional hazards regression was used to investigate the association between gender and time to in-hospital death. There were 2227 eligible burn injury admissions. Men comprised the majority (77.6%). The proportion of women who died in hospital was greater than men and the adjusted odds of in-hospital mortality were 34% lower in men (odds ratio 0.66; 95% confidence interval (CI) 0.45-0.98). The unadjusted rate of in-hospital mortality for men was 44% lower than women (hazard ratio 0.56; 95% CI 0.41-0.76). After adjusting for confounders, there was no association between gender and survival time (hazard ratio 0.76; 95% CI 0.54-1.06). After adjustment for key differences in case-mix between men and women, there was an association between gender and in-hospital mortality and no association between gender and time to death. Our findings indicate that the worse outcomes observed for women are associated with different age and patterns of injury, and provide further information to direct and inform targeted prevention measures for vulnerable populations.

A statistical theory of the strength of epidemics: an application to the Italian COVID-19 case.

The proposed theory defines a relative index of epidemic lethality that compares any two configurations in different observation periods, preferably one in the acute and the other in a mild epidemic phase. Raw mortality data represent the input, with no need to recognize the cause of death. Data are categorized according to the victims’ age, which must be renormalized because older people have a greater probability of developing a level of physical decay (human damage), favouring critical pathologies and co-morbidities. The probabilistic dependence of human damage on renormalized age is related to a death criterion considering a virus spread by contagion and our capacity to cure the disease. Remarkably, this is reminiscent of the Weibull theory of the strength of brittle structures containing a population of crack-like defects, in the correlation between the statistical distribution of cracks and the risk of fracture at a prescribed stress level. Age-of-death scaling laws are predicted in accordance with data collected in Italian regions and provinces during the first wave of COVID-19, taken as representative examples to validate the theory. For the prevention of spread and the management of the epidemic, the various parameters of the theory shall be informed on other existing epidemiological models.

ДИНАМІКА ПОКАЗНИКІВ ЗАХВОРЮВАНОСТІ ТА СМЕРТНОСТІ НА РАК ПРОСТАТИ В УКРАЇНІ: СУЧАСНИЙ СТАН ПРОБЛЕМИ

Introduction. Prostate cancer (PC) accounts for about 12% of all malignancies in men. Over the last 10 years, there has been a significant increase in the incidence of this tumor, as evidenced by statistics. Objectives. The purpose of this study was to analyze the dynamics of PC morbidity and mortality rate in Ukraine and its regions in recent years. Materials and methods. The analysis of PC morbidity and mortality rates in Ukraine was performed in accordance with the 1999-2012 Bulletin of the National Cancer Registry of Ukraine. The following indicators were analyzed: raw (average) morbidity and mortality indicators standardized by age, world standard population that is widely used for indicator comparison across countries, Ukrainian standard population calculated based on the age structure of the Ukrainian population. Results. The 1999-2018 analysis of the dynamics of prostate cancer incidence showed its growth both in Ukraine in general and in each region separately. In 1999, the incidence rate (world standard) for prostate cancer in Ukraine was 9.3 and in 2018 it was 22.1. The 1999-2018 analysis of the dynamics of mortality rate due to prostate cancer showed a clear trend towards its growth in Ukraine in general and in each region separately. In 1999, the mortality rate (world standard) due to prostate cancer in Ukraine was 2.7 and in 2018 it was already 4.1. Conclusions. The study showed a clear incremental tendency towards increased morbidity and mortality in patients with PC in Ukraine and its regions in the period from 1999 to 2012. Herewith, some gender differences were observed - both figures were significantly higher among male patients than female. Continuous increment growth of morbidity and mortality rate in patients with PC requires the revision of protocols for diagnostics and treatment of such patients.

The efficacy of IL-6 inhibitor Tocilizumab in reducing severe COVID-19 mortality: a systematic review.

BackgroundIn the absence of highly effective antiviral therapies against SARS-CoV-2, it is crucial to counter the known pathophysiological causes of severe COVID-19. Evaluating the efficacy existing drugs may expedite the development of such therapeutics. Severe COVID-19 is largely the result of a dysregulated immune response characterized by lymphocytopenia, neutrophilia and critical hypercytokinemia, or “cytokine storm,” which is largely mediated by the cytokine interleukin-6 (IL-6). The IL-6 inhibitor tocilizumab (TCZ) could potentially suppress the effects of the pro-inflammatory cytokine and thereby lower mortality from the disease. This systematic analysis aimed to investigate and synthesize existing evidence for the efficacy of TCZ in reducing COVID-19 mortality.MethodologyPubMed and SearchWorks searches were performed to locate clinical studies with primary data on TCZ treatment for severe COVID-19. Sixteen case-control studies comparing mortality between TCZ and standard of care (SOC) were identified for quantitative synthesis. The systematic analysis was pre-approved through PROSPERO (CRD42020193479).ResultsCombined mortality for the TCZ-treated and SOC groups were 26.0% and 43.4% respectively. In all but one of the studies, the odds ratio of mortality from COVID-19 pointed towards lower fatality with TCZ vs the SOC. A combined random effects odds ratio calculation yielded an odds ratio of 0.453 (95% CI [0.376–0.547], p < 0.001). Additionally, 18 uncontrolled trials were identified for qualitative analysis producing a raw combined mortality rate of 16.0%.ConclusionsImportant caveats to this research include the lack of prospective randomized control trials and the absence of data from the large COVATA study from the published literature. However, results from this systematic analysis of published research provide positive evidence for the potential efficacy of TCZ to treat severe COVID-19, validating the ethical basis and merit of ongoing randomized controlled clinical trials.

A Nationwide Analysis of Popliteal Vascular Injuries and Outcomes by Hospital Teaching Status

BackgroundPopliteal artery injuries are the second most common arterial injuries below the inguinal ligament. We aimed to compare outcomes in patients with popliteal injuries by hospital teaching status utilizing the National Trauma Data Bank Research Data Set (NTDB-RDS) 2013-2016. MethodsFour-year retrospective study using the NTDB-RDS, evaluating popliteal vascular injuries. Patients were divided by popliteal injury type and teaching status into; nonteaching hospital (NTH), community teaching (CTH), or University teaching (UTH). Demographics and outcome measures were compared between groups. Risk-adjusted mortality odds ratios (ORs) were calculated. Significance was defined as P < 0.05. Results3,577,168 patients were in the NTDB-RDS, with 1120 having a popliteal injury, (incidence = 0.03%). There was no significant difference in the amputation rate between patients treated in NTHs, CTHs, or UTHs (P > 0.05). There was no significant difference in the raw mortality rate between patients treated in NTHs, CTHs, or UTHs. After adjusting for confounders; compared to NTH, the odds ratio for mortality for popliteal artery injuries in the CTH group was significantly higher (OR: 15.95, 95% CI: 1.19-213.84), and for the UTH group the mortality was also significantly higher (OR: 5.74, 95% CI: 0.45-72.95). ConclusionsThe incidence of popliteal vascular injuries was 0.03% for 2013-2016. Patients with popliteal artery injuries treated at community teaching hospitals have a 16 times higher risk of mortality and at university teaching hospitals have a 5.7 times higher risk of mortality than patients treated at nonteaching hospitals.

Mediators of racial disparities in mortality rates after traumatic brain injury in childhood: data from the Trauma Quality Improvement Program.

Social disparities in healthcare outcomes are almost ubiquitous, and trauma care is no exception. Because social factors cannot cause a trauma outcome directly, there must exist mediating causal factors related to the nature and severity of the injury, the robustness of the victim, access to care, or processes of care. Identification of these causal factors is the first step in the movement toward health equity. A noninferiority analysis was undertaken to compare mortality rates between Black children and White children after traumatic brain injury (TBI). Data were derived from the Trauma Quality Improvement Program (TQIP) registries for the years 2014 through 2017. Inclusion criteria were age younger than 19 years and head Abbreviated Injury Scale scores of 4, 5, or 6. A noninferiority margin of 10% was preselected. A logistic regression propensity score model was developed to distinguish Black and White children based on all available covariates associated with race at p < 0.10. Stabilized inverse probability weighting and a one-tailed 95% CI were used to test the noninferiority hypothesis. There were 7273 observations of White children and 2320 observations of Black children. The raw mortality rates were 15.6% and 22.8% for White and Black children, respectively. The final propensity score model included 31 covariates. It had good fit (Hosmer-Lemeshow χ2 = 7.1604, df = 8; p = 0.5194) and good discrimination (c-statistic = 0.752). The adjusted mortality rates were 17.82% and 17.79% for White and Black children, respectively. The relative risk was 0.9986, with a confidence interval upper limit of 1.0865. The relative risk corresponding to the noninferiority margin was 1.1. The hypothesis of noninferiority was supported. Data captured in the TQIP registries are sufficient to explain the observed racial disparities in mortality after TBI in childhood. Speculations about genetic or epigenetic factors are not supported by this analysis. Discriminatory care may still be a factor in TBI mortality disparities, but it is not occult. If it exists, evidence for it can be sought among the data included in the TQIP registries.

Epidemiology and Outcome of Critically Ill Pediatric Cancer and Hematopoietic Stem Cell Transplant Patients Requiring Continuous Renal Replacement Therapy: A Retrospective Nationwide Cohort Study

Acute kidney injury requiring continuous renal replacement therapy is a serious treatment-related complication in pediatric cancer and hematopoietic stem cell transplant patients. The purpose of this study was to assess epidemiology and outcome of these patients requiring continuous renal replacement therapy in the PICU. A nationwide, multicenter, retrospective, observational study. Eight PICUs of a tertiary care hospitals in the Netherlands. Pediatric cancer and hematopoietic stem cell transplant patients (cancer and noncancer) who received continuous renal replacement therapy from January 2006 to July 2017 in the Netherlands. None. Of 1,927 PICU admissions of pediatric cancer and hematopoietic stem cell transplant patients, 68 of 70 evaluable patients who received continuous renal replacement therapy were included. Raw PICU mortality was 11.2% (216/1,972 admissions). PICU mortality of patients requiring continuous renal replacement therapy was 54.4% (37/68 patients). Fluid overload (odds ratio, 1.08; 95% CI, 1.01-1.17) and need for inotropic support (odds ratio, 6.53; 95% CI, 1.86-23.08) at the start of continuous renal replacement therapy were associated with PICU mortality. Serum creatinine levels increased above 150% of baseline 3 days before the start of continuous renal replacement therapy. Urine production did not reach the critical limit of oliguria. In contrast, body weight (fluid overload) increased already 5 days prior to continuous renal replacement therapy initiation. PICU mortality of pediatric cancer and hematopoietic stem cell transplant patients requiring continuous renal replacement therapy is sadly high. Fluid overload at the initiation of continuous renal replacement therapy is the most important and earliest predictor of PICU mortality. Our results suggest that the most commonly used criteria of acute kidney injury, that is, serum creatinine and urine production, are not useful as a trigger to initiate continuous renal replacement therapy. This highlights the urgent need for prospective studies to generate recommendations for effective therapeutic interventions at an early phase in this specific patient population.

Coherent modeling of mortality patterns for age-specific subgroups

The recent actuarial literature has shown that mortality patterns and trajectories in closely related populations are similar in some respects and that small differences are unlikely to increase in the long run. The common feeling is that mortality forecasts for individual countries could be improved by taking into account the patterns from a larger group. Starting from this consideration, we apply the three-way Lee–Carter model to a group of countries, by extending the bilinear LC model to a three-way structure, which incorporates a further component in the decomposition of the log-mortality rates. From a methodological point of view, there are several issues to deal with when focusing on such kind of data. In the presence of a three-way data structure, several choices on the pretreatment of the data could affect the whole modeling process. This kind of analysis is useful to assess the source of variation in the raw mortality data, before the extraction of the rank-one components by the LC model. The proposed procedure is used to extract an ad hoc time mortality trend parameter for age-specific subgroups. The results show that the proposed strategy leads to a more coherent description of mortality for age-specific subgroups.

A National Analysis of Pediatric Trauma Care Utilization and Outcomes in the United States.

More childhood deaths are attributed to trauma than all other causes combined. Our objectives were to provide the first national description of the proportion of injured children treated at pediatric trauma centers (TCs), and to provide clarity to the presumed benefit of pediatric TC verification by comparing injury mortality across hospital types. We performed a population-based cohort study using the 2006 Healthcare Cost and Utilization Project Kids Inpatient Database combined with national TC inventories. We included pediatric discharges (≤16 y) with the International Classification of Diseases, Ninth Revision code(s) for injury. Descriptive analyses were performed evaluating proportions of injured children cared for by TC level. Multivariable logistic regression models were used to estimate differences in in-hospital mortality by TC type (among level-1 TCs only). Analyses were survey-weighted using Healthcare Cost and Utilization Project sampling weights. Of 153,380 injured children, 22.3% were admitted to pediatric TCs, 45.2% to general TCs, and 32.6% to non-TCs. Overall mortality was 0.9%. Among level-1 TCs, raw mortality was 1.0% pediatric TC, 1.4% dual TC, and 2.1% general TC. In adjusted analyses, treatment at level-1 pediatric TCs was associated with a significant mortality decrease compared to level-1 general TCs (adjusted odds ratio, 0.6; 95% confidence intervals, 0.4-0.9). Our results provide the first national evidence that treatment at verified pediatric TCs may improve outcomes, supporting a survival benefit with pediatric trauma verification. Given lack of similar survival advantage found for level-1 dual TCs (both general/pediatric verified), we highlight the need for further investigation to understand factors responsible for the survival advantage at pediatric-only TCs, refine pediatric accreditation guidelines, and disseminate best practices.

Geographical Variation in Oral and Oropharynx Cancer Mortality in Brazil: A Bayesian Approach.

Recent studies have shown a high number of deaths from oral and oropharyngeal cancer worldwide, Brazil included. For this study, the deaths data (ICD-10, chapter II, categories C00 to C14) was obtained from Mortality Information System (SIM) and standardized by gender and population for each of the 554 Microregions of Brazil. The raw mortality rates were adopted as the standard and compared to the application of smoothing by the Bayesian model. In order to describe the geographical pattern of the occurrence of oral cancer, thematic maps were constructed, based on the distributions of mortality rates for Microregions and gender. Results: There were 7882 deaths registered due to oral and oropharyngeal cancer in Brazil, of which 6291 (79.81%) were male and 1591 (20.19%) female. The Empirical Bayesian Model presented greater scattering with mosaic appearance throughout the country, depicting high rates in Southeast and South regions interpolated with geographic voids of low rates in Midwest and North regions. For males, it was possible to identify expressive clusters in the Southeast and South regions. Conclusion: The Empirical Bayesian Model allowed an alternative interpretation of the oral and oropharynx cancer mortality mapping in Brazil.

Risk-adjusted mortality of VLBW infants in high-volume versus low-volume NICUs

ObjectiveTo examine whether the number of very low birthweight (VLBW) infants treated annually in neonatal intensive care units (NICUs) (hospital volume) has an effect on their in-hospital mortality under the...

Discrepancies between Canadian cancer research funding and site-specific cancer burden: a spotlight on ten disease sites.

Cancer research is essential in evaluating the safety and effectiveness of emerging cancer treatments, which in turn can lead to ground-breaking advancements in cancer care. Given limited research funding, allocating resources in alignment with societal burden is essential. However, evidence shows that such alignment does not typically occur. The objective of the present study was to provide an updated overview of site-specific cancer research investment in Canada and to explore potential discrepancies between the site-specific burden and the level of research investment. The 10 cancer sites with the highest mortality in 2015-which included brain, female breast, colorectal, leukemia, lung, non-Hodgkin lymphoma, ovary, pancreas, prostate, and uterus-were selected for the analysis. Information about site-specific research investment and cancer burden (raw incidence and mortality) was obtained from the Canadian Cancer Research Survey and Statistics Canada's cansim (the Canadian Socio-Economic Information Management System) respectively. The ratio of site-specific research investment to site-specific burden was used as an indicator of overfunding (ratio > 1) or underfunding (ratio < 1). The 3 cancer sites with the highest research investments were leukemia, prostate, and breast, which together represented 51.3% of 2015 cancer research funding. Conversely, the 3 cancer sites with the lowest investments were uterus, pancreas, and ovary, which together represented 7.8% of 2015 research funding. Relative to site-specific cancer burden, the lung, uterus, and colorectal sites were consistently the most underfunded. Observed discrepancies between cancer burden and research investment indicate that some cancer sites (such as lung, colorectal, and uterus) seem to be underfunded when site-specific incidence and mortality are taken into consideration.

Comparison of Frequency of Late Gastrointestinal Bleeding With Transcatheter Versus Surgical Aortic Valve Replacement

Improvements in technology and operator experience have led to exponential growth of transcatheter aortic valve implantation (TAVI) programs. Late bleeding complications were recently highlighted after TAVI with a high impact on morbidity. The purpose of the present study was to assess the incidence and financial impact of late Gastrointestinal (GI) bleeding after TAVI, and compare with the surgical cohort. Retrospective analysis of the National Readmissions Database was performed from January 2011 to December 2014, and patients who underwent TAVI or surgical aortic valve replacement (SAVR) were identified. Incidence of readmission with a diagnosis of GI bleeding was utilized as the primary end point. Overall, 43,357 patients were identified who underwent TAVI, whereas 310,013 patients underwent SAVR. Compared with SAVR, TAVI patients were older (81 vs 68y, p < 0.001), more women (48% vs 36%, p < 0.001), and had higher Elixhauser Comorbidity Index (6 vs 5, p < 0.001). Hospital stay was shorter with TAVI (5 vs 8 days, p < 0.001), but raw in-hospital mortality rates were similar (4.2% vs 3.8%, p = 0.022). In the TAVI cohort, 3.3% of patients were rehospitalized for GI bleeding compared with 1.5% of the SAVR cohort (p < 0.001). Average time to bleeding readmission was similar between cohorts (92 vs 84 days, p = 0.049). After multivariable adjustment, TAVI remained significantly associated with readmissions for GI bleeding compared with SAVR Adjusted Odds Ratio (AOR 1.54 [1.38 to 1.71], p < 0.001). In this national cohort study, TAVI was associated with more frequent readmissions for late GI bleeding compared with SAVR. In conclusion, strategies to reduce late GI bleeding may serve as important targets for improvement in overall quality of care.