Risk of multiple sclerosis in individuals with infectious mononucleosis: a national population-based cohort study using hospital records in England, 2003-2023.

BACKGROUND: Epstein-Barr virus (EBV) is thought to be a necessary causative agent in the development of multiple sclerosis (MS). Infectious mononucleosis (IM), which occurs up to 70% of adolescents and young adults with primary EBV infection, appears to be a further risk factor but few studies have been highly powered enough to explore this association by time since IM diagnosis. OBJECTIVE: The objective was to quantify the risk of MS in individuals with IM compared with the general population, with particular focus on time since IM diagnosis. METHODS: In this retrospective cohort study using English national Hospital Episode Statistics from 2003 to 2023, patients with a hospital diagnosis of IM were compared with the general population for MS incidence. RESULTS: MS incidence in patients with IM was nearly three times higher than the general population after multivariable adjustment (adjusted hazard ratio = 2.8, 95% confidence interval (CI = 2.3-3.4), driven by strong associations at long time intervals (>5 years) between IM diagnosis and subsequent MS diagnosis. CONCLUSION: While EBV infection may be a prerequisite for MS, the disease process of IM (i.e. the body's defective immune response to primary EBV infection) seems to be, in addition, implicated over the long term.

The Effect of the COVID-19 Pandemic on Palestinian Patients Attending Selected Governmental Hospitals: An Analysis of Hospital Records.

INTRODUCTION: Confronting the COVID-19 epidemic forced the closure or relocation of the majority of health facilities. It is likely that non-COVID-19 patients suffered collateral effects. METHODS: The clinic and operating room records were analyzed at selected Palestinian government hospitals in the West Bank region. RESULTS: The reduction in patient clinic visits varied from 49% to 90%, with Ear-Nose-Throat (ENT), urology, and pediatric clinics being the most affected. The reduction in operation numbers in the center (which had independent decision-making) ranged from 7.1% to 23.4%, but in the north and south (which followed centralized choices), the reduction ranged from 19.6% to 91.8%. CONCLUSIONS: COVID-19 affected outpatient visits. The pandemic affected some services, but West Bank hospitals were able to provide normal obstetric and gynecological treatments and help patients who needed primary or intermediate surgery.

Development of a hospital frailty risk score for community-dwelling older adults using data from electronic hospital records in South Korea.

PURPOSE: We aimed to develop the Korean Hospital Frailty Risk Score (K-HFRS) by applying the International Classification of Diseases-10 codes to community-dwelling older adults' medical data. METHODS: We selected data from 2,761 people with no missing main variable values from the Korean Frailty and Aging Cohort Data (KFACD) and National Health Insurance Database (NHID) for analysis. Frailty was determined based on modified Fried's phenotype [MFP] and Korean Frailty Index for Primary Care [KFI-PC] in the KFACD. A previously established method calculated the K-HFRS, verified by the area under the receiver operating characteristic (ROC) curve. The calculated cutoff value predicted the medical use. RESULTS: The respective K-HFRSs of the frailty group using the MFP and KFI-PC criteria ranged from 3.64 (±3.03) to 8.15 (±5.72) and 4.07 (±3.42) to 9.10 (±6.28), with 7.67 (±5.40) and 8.59 (±6.03) when four diagnoses were included. The K-HFRS of the frailty group using the KFI-PC criteria was higher than that using the MFP criteria. With four diagnoses included using the MFP criteria, the adjusted odds ratio (OR) for medical expenditures in the frailty group compared to the non-frailty group was 3.01 (95% confidence interval [CI] 2.52-3.60, p < .001); for the number of emergency room (ER) visits was 2.19 (95% CI 1.77-2.70, p < .001); for inpatient days was 2.48 (95% CI 2.08-2.96, p < .001). With four diagnoses included using the KFI-PC criteria, the adjusted OR value for medical expenditures was 2.77 (95% CI 2.35-3.27, p < .001); for the number of ER visits was 1.87 (95% CI 1.51-2.32, p < .001); for inpatient days was 2.07 (95% CI 1.75-2.45, p < .001). CONCLUSION: This study substantiated that the K-HFRS can measure frailty efficiently at a lower cost. Follow-up studies are needed for additional validity.

Medical service utilization and costs of autism spectrum disorder: Evidence from hospital records in Beijing, China.

As more and more people are diagnosed with autism spectrum disorder (ASD), it is necessary to better understand their costs. Detailed information on medical service utilization and costs could aid in designing equitable, effective policies to support individuals with ASD and their families. In this retrospective analysis, individuals with a hospital encounter (outpatient visit or inpatient admission) were collected from Beijing Municipal Health Big Data and Policy Research Center (BMHBD), from January 1, 2017 to December 31, 2021. We analyzed the costs, hospital visits/admissions and their changing trends over 5 years. Poisson regression and logit regression were conducted to analyze the influencing factors of visits, admissions and costs. The study population consisted of 26,826 users of medical services (26,583 outpatients and 243 inpatients; mean age: 4.82 ± 3.47 years for outpatients; 11.62 ± 6.74 years for inpatients). 99.1% were outpatients (mean ± standard deviation (SD) costs per year: $422.06 ± $11.89), while 0.9% were inpatients (mean ± SD costs per year: $4411.71 ± $925.81). More than 50% of outpatients received medication and diagnostic testing services. Among those with an inpatient admission, 91% received treatment services. Medication costs were the major contributor to medical costs for adults. Diagnostic test and treatment costs were the major contributors for children and adolescents. The findings demonstrated a significant economic burden for those diagnosed with ASD and highlighted opportunities for improving the care of this vulnerable group. This study adds to the literature by focusing on age differences among health-care utilization in individuals with ASD.

Classifying Firearm Injury Intent in Electronic Hospital Records Using Natural Language Processing.

Importance: International Classification of Diseases-coded hospital discharge data do not accurately reflect whether firearm injuries were caused by assault, unintentional injury, self-harm, legal intervention, or were of undetermined intent. Applying natural language processing (NLP) and machine learning (ML) techniques to electronic health record (EHR) narrative text could be associated with improved accuracy of firearm injury intent data. Objective: To assess the accuracy with which an ML model identified firearm injury intent. Design, Setting, and Participants: A cross-sectional retrospective EHR review was conducted at 3 level I trauma centers, 2 from health care institutions in Boston, Massachusetts, and 1 from Seattle, Washington, between January 1, 2000, and December 31, 2019; data analysis was performed from January 18, 2021, to August 22, 2022. A total of 1915 incident cases of firearm injury in patients presenting to emergency departments at the model development institution and 769 from the external validation institution with a firearm injury code assigned according to International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Clinical Modification (ICD-10-CM), in discharge data were included. Exposures: Classification of firearm injury intent. Main Outcomes and Measures: Intent classification accuracy by the NLP model was compared with ICD codes assigned by medical record coders in discharge data. The NLP model extracted intent-relevant features from narrative text that were then used by a gradient-boosting classifier to determine the intent of each firearm injury. Classification accuracy was evaluated against intent assigned by the research team. The model was further validated using an external data set. Results: The NLP model was evaluated in 381 patients presenting with firearm injury at the model development site (mean [SD] age, 39.2 [13.0] years; 348 [91.3%] men) and 304 patients at the external development site (mean [SD] age, 31.8 [14.8] years; 263 [86.5%] men). The model proved more accurate than medical record coders in assigning intent to firearm injuries at the model development site (accident F-score, 0.78 vs 0.40; assault F-score, 0.90 vs 0.78). The model maintained this improvement on an external validation set from a second institution (accident F-score, 0.64 vs 0.58; assault F-score, 0.88 vs 0.81). While the model showed some degradation between institutions, retraining the model using data from the second institution further improved performance on that site's records (accident F-score, 0.75; assault F-score, 0.92). Conclusions and Relevance: The findings of this study suggest that NLP ML can be used to improve the accuracy of firearm injury intent classification compared with ICD-coded discharge data, particularly for cases of accident and assault intents (the most prevalent and commonly misclassified intent types). Future research could refine this model using larger and more diverse data sets.

Mental health outcomes before psychotropic medications: a retrospective case series of one state hospital records from 1945 to 1954.

BACKGROUND: Current outcomes for mental illness are widely regarded as poor. Since the introduction of psychotropic medications in the mid 1950's, previous psychosocial practices were minimized in favor of medication focused treatment. The majority of large U.S. state hospitals have closed with records destroyed or in storage, inaccessible to researchers. This creates barriers to studying and comparing outcomes before and after this shift in treatment practices. AIMS: The study aim was to examine discharge outcomes in relation to length of stay and diagnosis in one U.S. state hospital. METHODS: This case series study examined 5618 medical records of participants admitted to one state hospital from 1945 to 1954, the decade prior to adoption of psychotropic medications. RESULTS: Of the 3332 individuals who left the facility, over half (59.87%) of first episode hospitalizations were discharged within 1 year, and 16.95% were hospitalized for more than 5 years. 46.17% of all admissions were discharged from hospital with no readmission. The most common diagnoses included schizophrenia, other forms of psychosis, and alcoholism. In the decade before the introduction of psychotropic medications, participants were often admitted for a single episode and returned to their homes within several years. CONCLUSIONS: Although limited to one site, findings suggest that discharge outcomes prior to psychotropic medication as a primary treatment for mental illness may be more positive than previously understood.

Assessing the accuracy of the International Classification of Disease (ICD) framework in the identification of patients with chronic subdural haematoma from hospital records.

BACKGROUND: Chronic subdural hematoma (CSDH) is one of the commonest neurosurgical pathologies with an increasing incidence. Observational studies of routine care have demonstrated high perioperative morbidity and approximately 10% mortality at one year. The development, implementation, and evaluation of a potential care framework relies on an accurate and reproducible method of case identification and case ascertainment. With this manuscript, we report on the accuracy of diagnostic ICD codes for identifying patients with CSDH from retrospective electronic data and explore whether basic demographic data could improve the identification of CSDH. METHODS: Data were collected retrospectively from the hospital administrative system between 2014 and 2018 of all patients coded with either S065 or I620. Analysis of the ICD codes in identifying patients with CSDH diagnosis was calculated using the caretR package in RStudioR,.and stepwise logistic regression analysis was performed to evaluate the best predictive model for CSDH. RESULTS: A total of 1861 patients were identified. Of these, 189 (10.2%) had a diagnosis of non-traumatic SDH (I620) and 1672 (89.8%) traumatic subdural haematomas (S065). Variables that identified CSDH as a diagnosis on univariate logistic regression included male sex (Odds Ratios (OR) - 1.606 (1.197-2.161), elderly age (OR) - 1.023 (1.015-1.032) per year for age (p < 0.001) and shorter length of hospital stay. Using stepwise regression against AIC the best model to predict CSDH included male sex, older age, and shorter LOS. The calculated sensitivity for identifying CSDH with the model is 88.4% with a specificity of 84.5% and PPV of 87.9%. CONCLUSION: CSDH is a common neurosurgical pathology with increasing incidence and ongoing unmet clinical need. We demonstrate that case ascertainment for research purposes can be improved with the incorporation of additional demographic data but at the expense of significant case exclusion.

Determination of Unnecessary Blood Transfusion by Comprehensive 15-Hospital Record Review.

BACKGROUND: Although unnecessary blood component transfusions are costly and pose substantial patient risks, the extent of unnecessary blood use in a community hospital setting has not been systematically measured. METHODS: A 15-hospital observational analysis was performed using comprehensive retrospective review. Approximately 100 encounters (x¯â€¯= 103.9, standard deviation [SD] ± 7.6) per hospital (6,696 total component transfusion events) were reviewed between 2012 and 2018. Review was performed by two medical directors. Findings were supported by blind intra- and inter-reviewer double review and blind external review by 10 independent reviewers. RESULTS: Patients received an average of 4.3 (± 1.3) units. Only 8.2% (± 6.7) of patient encounters did not receive unnecessary units. Fifty-five percent (54.6% ± 13.5) could have been managed without at least one component type, while 44.6% (± 14.9) could have been managed completely without transfusion. Forty-five percent (45.4% ± 17.0) of red blood cell, 54.9% (± 19.3) of plasma-cryoprecipitate, and 38.0% (± 15.6) of plateletpheresis encounters could likely have been managed without transfusion. Between 2,713 units (40.5%) and 3,306 units (49.4%) were likely unnecessary. In patients who could have been managed without transfusion of at least one component type, unnecessary blood use was associated with a 0.38 (± 0.11)-day increase in length of hospital stay for each additional unnecessary unit received (p < 0.001). CONCLUSION: Substantial unnecessary blood use was identified, all of which was unrecognized by hospitals prior to review. Unnecessary blood use was attributed to overreliance on laboratory transfusion criteria and failure to follow common blood management principles, which resulted in potential harm to patients and avoidable cost.

Registros Hospitalares de Câncer: Proposta Metodológica para Correção do Estadiamento de Câncer de Pulmão / Hospital-Based Cancer Registry: Methodological Proposal for Correction of Lung Cancer Staging / Registros Hospitalarios de Cáncer: Propuesta Metodológica para la Corrección de la Estadificación del Cáncer de Pulmón

Introdução: Um grande desafio para a utilização de registros e bases de dados secundárias é a qualidade do registro e o percentual de perdas em variáveis estratégicas e necessárias à plena utilização do banco. Objetivo: Propor um método de correção para a variável de estadiamento no âmbito dos Registros Hospitalares de Câncer (RHC), a fim de aprimorar sua completude e qualidade. Método: Estudo descritivo, abrangendo as Unidades da Federação, utilizando-se como fonte de informação o RHC, de janeiro de 2013 a dezembro de 2019. O câncer de pulmão foi escolhido como caso para a correção do banco, em razão da sua alta taxa de mortalidade no Brasil e no mundo. As análises foram realizadas com o software de análises estatísticas SAS Studio e a base de dados organizada em Excel. Resultados: O total de casos registrados no RHC foi de 86.026, e a variável de interesse, o estadiamento, teve um total de 32,0% de perda. Ao final de todas as etapas de correção, a perda foi de 9,8%, correspondendo a 22,2% de recuperação. Conclusão: A metodologia proposta representa um avanço na correção do banco do RHC, possibilitando a utilização dos dados de base secundária, com melhor representatividade das diferentes Regiões do país, sobre o tratamento de câncer de pulmão, com possibilidade de expansão de seu uso para outras topografias

Introduction: A major challenge to utilize the registries and secondary databases is the quality of the data and the percentage of losses in strategic and necessary variables for better effectiveness of the database. Objective: To propose a correction method for the cancer staging variable of the HospitalBased Cancer Registry (HBCR), to improve its completeness and quality. Method: HBCR-based descriptive analysis covering Brazil's Federation Units from January 2013 to December 2019. Due to its high mortality in Brazil and worldwide, lung cancer was selected as case for database correction. The analyzes were performed with the software SAS Studio for statistical analyzes and the data were organized in Excel. Results: The total number of cases registered at the HBCR was 86,026, and 32% the variable of interest, staging, were missed. At the end of the correction process, the missed data reached 9.8%, corresponding to a recovery of 22.2%. Conclusion: The proposed methodology is an advance for the correction of the HBCR database on the treatment of lung cancer, allowing a more extensive use, with better representativeness of different country regions, and potential utilization in other topographies

Introducción: Un gran desafío para el uso de registros y bases de datos secundarias es la calidad del registro en sí, el porcentaje de pérdidas en variables estratégicas y necesarias para el pleno uso de la base de datos. Objetivo: Proponer un método de corrección de la variable estadificación en el ámbito de los Registros Hospitalarios de Cáncer (RHC), con el fin de mejorar su exhaustividad y calidad. Método: Análisis descriptivo, abarcando las Unidades de la Federación. Se utilizó el RHC como fuente de información, de enero de 2013 a diciembre de 2019. El cáncer de pulmón fue elegido como caso para la corrección de la base de datos, debido a su alta tasa de mortalidad en el Brasil y en el mundo. Los análisis se realizaron con el software de análisis estadístico SAS Studio y los datos se organizaron en Excel. Resultados: El total de casos registrados en el RHC fue de 86.026, y la variable de interés, la estadificación, tuvo una pérdida total del 32,0% Al final de todas las etapas esta fue de 9,8%, es decir el 22,2% de recuperación. Conclusión: La metodología propuesta representa un avance en la corrección del RHC, permitiendo una mejor utilización de la base de datos, con una mejor representatividad de las diferentes regiones del país, sobre el tratamiento del cáncer de pulmón, con la posibilidad de expandir su uso a otras topografías

Eventos adversos e incidentes notificados em um centro de materiais e esterilização / Adverse events and incidents reported in a materials and sterilization center

Objetivo: Caracterizar as notificações dos incidentes e eventos adversos do Centro de Material e Esterilização (CME) de um hospital de ensino. Método: Estudo retrospectivo, documental, descritivo e quantitativo em um CME classe II, em que foram analisadas as notificações contidas no banco de dados do Núcleo do Sistema de Gestão da Qualidade e Segurança do paciente, entre 2016 e 2020. Como técnica de análise dos dados coletados, utilizou-se o diagrama de causa e efeito, e a descrição das notificações foram agrupadas conforme o diagrama de 6M: método; material; mão de obra; máquina; medida; e meio ambiente. Resultados: Entre as notificações realizadas, as variáveis matéria-prima e método foram as que mais geraram incidentes durante todo o período, representando 28,54 e 26,44%, respectivamente. Além disso, o Centro Cirúrgico foi o que mais notificou e foi notificado pelo CME. Conclusão: Foi possível conhecer os incidentes que mais predominam no CME da instuição, e as variáveis materiais e método, com o centro cirúrgico, foram as variáveis e setor que mais geraram notificações no período pesquisado (AU)

Distribution of Cancer and Cancer Screening and Treatment Services in Lagos: A 10-Year Review of Hospital Records.

PURPOSE: In Lagos State, Nigeria, the population distribution of cancers is poorly described because studies are conducted at a few tertiary hospitals. Therefore, this study aims to map all health facilities where cancer screening takes place and describe the cases of cancer screened for and treated. METHODS: A cross-sectional survey to identify facilities involved in screening and management of cancers was performed followed by extraction of data on individual cases of cancer screened for and treated at these facilities from 2011 to 2020. All health care facilities in the state were visited, and the survey was performed using standardized national tools modified to capture additional information on cancer screening and treatment. Data analysis was performed using STATA version 14 and R version 3.6.3. RESULTS: Cervical cancer was the commonest cancer, accounting for 55% of 2,420 cancers screened, followed by breast (41%), prostate (4%), and colorectal cancers (0.2%). Of the 7,682 cancers treated among Lagos residents, the top five were breast (45%), colorectal (8%), cervical (8%), prostate (5%), and ovarian (4%). The female:male ratio of cancer cases was 3:1. The peak age for cancer among females and males was in the 40- to 49-year age group and 60- to 69-year age group, respectively. The Ikorodu local government area had the highest rate of reported cancer per million population. CONCLUSION: Cancer screening is poor with a significant gap in screening for breast cancer since it is the commonest cancer in the state. The findings indicate the urgent need for the establishment of organized screening programs for the predominant cancers in the state and the prioritization of cancer research that addresses key policy and program questions.

Neighborhood environment and socioeconomic inequalities in cancer admissions: a prospective study using UK Biobank and linked hospital records.

PURPOSE: Neighborhood environments may influence cancer risk. Average population effect estimates might mask differential effects by socioeconomic position. Improving neighborhood environments could inadvertently widen health inequalities if important differences are overlooked. METHODS: Using linked records of hospital admissions in UK Biobank, we assessed associations between admission with a primary diagnosis of cancer (any/breast/colorectal), and exposure to neighborhood greenspace, physical activity facilities, and takeaway food stores, and whether household income and area deprivation modify these associations. We used adjusted Cox proportional hazards models, and estimated relative excess risks due to interaction (RERI) to assess effect modification. RESULTS: Associations between neighborhood exposures and cancer-related hospitalizations were weak to null overall, but with some evidence of effect modification. Most notably, more greenspace near home was associated with 16% lower hazard of cancer-related hospital admission in deprived areas (95% CI 2-29%). This was further pronounced for people in low-income households in deprived areas, and for breast cancer. CONCLUSION: In deprived neighborhoods, increasing the amount of greenspace may help reduce cancer-related hospitalizations. Examining effect modification by multiple socioeconomic indicators can yield greater insight into how social and environmental factors interact to influence cancer incidence. This may help avoid perpetuating cancer inequalities when designing neighborhood environment interventions.

Adult height in pubertal boys with short stature treated with GH/letrozole: a hospital record-based retrospective study.

BACKGROUND: The growth potential in pubertal boys with short stature is limited by the effect of estrogen on epiphyseal fusion. This study aims to identify the efficacy and safety of the combination of growth hormone (GH) and letrozole on adult height (AH) in pubertal boys with short stature. METHODS: This is a retrospective record based study. Pubertal boys with short stature who were treated with GH and letrozole were followed up at outpatient clinics in our hospital. Twenty subjects who reached AH are reported here. RESULTS: Baseline chronological age was 12.12 ± 1.14 yr and bone age was 13.00 ± 0.93 yr. The period of GH/letrozole treatment was 1.94 ± 0.67 yr. Height standard deviation score for bone age was increased from -1.46 ± 0.51 before treatment to -0.12 ± 0.57 after treatment (P < 0.001). The predicted AH before treatment, predicted AH after treatment, AH, and genetic target height were 161.02 ± 4.12 cm, 172.11 ± 4.20 cm, 172.67 ± 2.72 cm, and 167.67 ± 3.56 cm, respectively. There was a significant predicted AH difference before and after treatment (P < 0.001). There was a significant difference between predicted AH before treatment and genetic target height (P < 0.001). Predicted AH after therapy was higher than that of gene target height (P < 0.001), as well as AH and genetic target height (P < 0.001). There was no significant side effect. CONCLUSIONS: GH and letrozole combination can enhance AH in pubertal boys with short stature.

Spatiotemporal epidemiology of Japanese encephalitis cases of Dibrugarh district from 2014 to 2018: A hospital record-based descriptive study.

Background: Since 1976, several JE outbreaks have been reported from most of the districts of Assam. Objectives: The present study aims to conduct a descriptive and spatial analysis to understand the spatiotemporal distribution of JE cases of Dibrugarh district. Methods: Spatiotemporal distribution of JE cases from 2014 to 2018 at village level was described in maps using Geographical Information System. Spatial association between JE reporting places in the study area has been analyzed using spatial statistics analytical techniques. Temporal distribution of JE cases from 2014 to 2018 for different variable were described in tables. Results: During the period 2014-2018, incidence rate of JE cases ranged between 2.7/100,000 and 5.9/100,000 population and highest case fatality rate was 18.3% in 2014. Highest numbers of JE cases were reported in the age group 0-10 years. Most of the JE cases were from rural areas (84.2%). There was a seasonal pattern of JE which peaked in July. There were hotspots around Dibrugarh Municipality area, Duliajan oil town, Hatiali gaon, Naharkatiya chah bagicha, Nagaon Dhadumia gaon, and Nahortoli Tea Estate. Conclusion: On the basis of the study, JE hotspots can be identified that would help health authorities to further investigate and identify the factors responsible for its occurrence.

Malignant neoplasms of the oral cavity and oropharynx treated in Brazil: what do hospital cancer records reveal? / Neoplasias malignas da cavidade oral e orofaringe tratadas no Brasil: o que revelam os registros hospitalares de câncer?

Abstract Introduction: Head and neck cancer has an impact on the global burden of diseases, representing an important cause of morbidity and mortality in Brazil, as well as worldwide. Objective: To learn and describe the clinical, epidemiological and care configuration provided to patients with cancer of the oral cavity and oropharynx recorded in Brazil, diagnosed from 2007 to 2016. Methods: This is a cross-sectional study, carried out using secondary hospital-based data, using the indirect documentation technique. Results: There were 52,799 hospital records of oral cavity cancer and 34,516 cases of oropharyngeal cancer in the assessed period. There was a predominance of male patients, aged 50-59 years, mostly Caucasians, and with a low level of schooling. Throughout the period there was a significant reduction in the positive history of alcohol and tobacco consumption, except for alcoholic beverages in oral cavity cancer. Most patients were diagnosed at an advanced stage of the disease (III or IV). Most patients with oral cavity cancer had no evidence of the disease on follow-up, while most patients with oropharyngeal cancer died. The first most frequent treatment offered to patients with oral cavity cancer was surgery, while for patients with oropharyngeal cancer it chemoradiotherapy predominated. Conclusion: Despite the fact that, in general, there was a reduction in the records of patient alcohol and tobacco consumption, the increase in the number of medical consultations, the predominantly late diagnosis and the patients' low level of schooling indicate the need for health education, primary prevention and early diagnosis of cancer of the oral cavity and oropharynx.

Resumo Introdução: O câncer de cabeça e pescoço impacta a carga global de doenças, representa importante causa de morbimortalidade no Brasil e no mundo. Objetivo: Conhecer e descrever a compleição clínica, epidemiológica e assistencial dos atendimentos a pacientes com câncer de cavidade oral e orofaringe registrados no Brasil, diagnosticados de 2007 a 2016. Método: Estudo transversal, feito a partir de dados secundários de base hospitalar, por meio de técnica de documentação indireta. Resultados: Houve 52.799 registros hospitalares de câncer de cavidade oral e 34.516 casos de câncer de orofaringe no período considerado. Predominaram pacientes do sexo masculino, da faixa etária de 50-59 anos, predominantemente branca, e de baixo nível de escolaridade. Ao longo do período houve redução expressiva do histórico positivo de consumo de bebida alcoólica e tabaco, exceto para bebida alcoólica no câncer de cavidade oral. A maioria dos pacientes foi diagnosticada em estágio avançado da doença (III ou IV). A maior parte dos pacientes de câncer de cavidade oral apresentava-se sem evidência da doença, enquanto que grande parte dos pacientes com câncer de orofaringe evoluiu a óbito. O primeiro tratamento mais frequente oferecido aos pacientes com câncer de cavidade oral foi cirurgia, enquanto para os pacientes com câncer de orofaringe foi a quimioradioterapia. Conclusão: Apesar de se observar, de maneira geral, redução dos registros do consumo de bebida e tabaco, o aumento do número de atendimentos, o diagnóstico tardio predominante e o baixo nível de escolaridade dos pacientes apontam para a necessidade da educação em saúde, de prevenção primária e do diagnóstico precoce do câncer de cavidade oral e orofaringe.

[Application of an algorithm for the validation of congenital anomaly cases using hospital discharge records]. / Applicazione di un algoritmo per la validazione dei casi di malformazione congenita provenienti dal flusso delle schede di dimissione ospedaliera.

OBJECTIVES: to evaluate and validate the adoption of an algorithm for the identification of cases of congenital anomalies (CAs) to improve the performance of the Congenital Malformations Registry of Sicily Region (Southern Italy). DESIGN: an algorithm was used to identify congenital anomalies on a sample of hospital discharge records (SDO) with ICD-9-CM code between 740-759 on any of the diagnoses within the first year of life, together with a sample of healthy births equal to 5% of total births for the same period. The identified cases were evaluated through the clinical record analysis. SETTING AND PARTICIPANTS: the analysed sample was composed of 4,271 cases identified between June 2013 and December 2014 along with 3,993 SDO without any code of MC (5% of the total volume of births in the same period). MAIN OUTCOME MEASURES: positive predictive value (VPP) and negative predictive value (VPN) were computed by means of the comparison between the algorithm outcomes and the clinical record verification. RESULTS: 4,271 potentially malformed records involving 3,381 subjects born in the Sicilian territory have been identified. Among the hospital discharge records that it was possible to verify, the application of the algorithm led to the exclusion of 924 cases: of these, 62 proved to be false negatives (VPN: 93.3). The valid cases were 1,179, while the cases to be evaluated 617: the comparison between algorithm and clinical record analysis led to a VPP of 91.7 and 72.1, respectively, for valid and to be evaluated. CONCLUSIONS: the tested algorithm proved to be a useful tool for identifying SDO potentially related to congenital anomalies. In the overall sample, the algorithm provided an outcome consistent with the clinical record assessment in 87.4% (2,379) of cases.

Evolución de la asociación de diabetes y eventos posalta en pacientes con insuficiencia cardíaca crónica descompensada: hallazgos del registro RICA / Changes over time in the association between type 2 diabetes and post-discharge outcomes in decompensated chronic heart failure patients: Findings from the RICA Registry

Objetivos: La insuficiencia cardíaca (IC) y la diabetes son 2procesos fuertemente asociados. El objetivo principal fue analizar la evolución del pronóstico de los pacientes con diabetes que ingresan por IC a lo largo de 2períodos. Métodos: Estudio prospectivo para comparar el pronóstico a un año de seguimiento entre los pacientes con diabetes que ingresan por IC en 2008-2011 y 2018. Los pacientes proceden del Registro Nacional de Insuficiencia Cardíaca (RICA) de la Sociedad Española de Medicina Interna. El objetivo primario fue analizar el desenlace combinado de mortalidad total o ingreso por IC durante 12 meses. Se utilizó una regresión multivariante de Cox para evaluar la fuerza de asociación (hazard ratio [HR]) de la diabetes y los desenlaces entre ambos períodos. resultados: Se incluyó a un total de 936 pacientes en la cohorte de 2018, de los que 446 (48%) tenían diabetes. Las características basales de la población de los 2períodos fueron similares. En los pacientes con diabetes se observó el desenlace combinado en 233 (47,5%) en la cohorte de 2008-2011 y 162 (36%) en la cohorte de 2018 (HR 1,48; intervalo de confianza del 95% [IC95%] 1,18-1,85; p <0,001). La proporción de ingresos (HR 1,39; IC95% 1,07-1,80; p=0,015) y la mortalidad total (HR 1,60; IC95% 1,20-2,14; p <0,001) también fueron significativamente mayores en los pacientes con diabetes de la cohorte de 2008-2011 con respecto a la del 2018. Conclusiones: En 2018 se observa una mejoría del pronóstico de la mortalidad total y los reingresos durante un año de seguimiento en pacientes con diabetes hospitalizados por IC con respecto al período de 2008-2011 (AU)

Aims: Heart failure (HF) and diabetes are 2strongly associated diseases. The main objective of this work was to analyze changes in the prognosis of patients with diabetes who were admitted for heart failure in 2time periods. Methods: This work is a prospective study comparing prognosis at one year of follow-up among patients with diabetes who were hospitalized for HF in either 2008-2011 or 2018. The patients are from the Spanish Society of Internal Medicine's National Heart Failure Registry (RICA, for its initials in Spanish). The primary endpoint was to analyze the composite outcome of total mortality and/or readmission due to HF in 12 months. A multivariate Cox regression model was used to evaluate the strength of association (hazard ratio [HR]) between diabetes and the outcomes between both periods. Results: A total of 936 patients were included in the 2018 cohort, of which 446 (48%) had diabetes. The baseline characteristics of the populations from the 2periods were similar. In patients with diabetes, the composite outcome was observed in 233 (47.5%) in the 2008-2011 cohort and 162 (36%) in the 2018 cohort [HR 1.48; 95% confidence interval (95%CI) 1.18-1.85; p<.001]. The proportion of readmissions (HR 1.39; 95%CI 1.07-1.80; p=.015) and total mortality (HR 1.60; 95%CI 1.20-2.14; p<.001) were also significantly higher in patients with diabetes from the 2008-2011 cohort compared to the 2018 cohort. Conclusions: In 2018, an improvement was observed in the prognosis for all-cause mortality and readmissions over one year of follow-up in patients with diabetes hospitalized for HF compared to the 2008-2011 period (AU)

Quality of automatic geocoding tools: a study using addresses from hospital record files in Temuco, Chile.

Automatic geocoding methods have become popular in recent years, facilitating the study of the association between health outcomes and the place of living. However, rather few studies have evaluated geocoding quality, with most of them being performed in the US and Europe. This article aims to compare the quality of three automatic online geocoding tools against a reference method. A subsample of 300 handwritten addresses from hospital records was geocoded using Bing, Google Earth, and Google Maps. Match rates were higher (> 80%) for Google Maps and Google Earth compared with Bing. However, the accuracy of the addresses was better for Bing with a larger proportion (> 70%) of addresses with positional errors below 20m. Generally, performance did not vary for each method for different socioeconomic status. Overall, the methods showed an acceptable, but heterogeneous performance, which may be a warning against the use of automatic methods without assessing quality in other municipalities, particularly in Chile and Latin America.