[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100637494":3},{"organization":4,"outcomesModule":7,"designInfo":19,"detailedDescription":22,"studyPopulation":23,"armGroups":24,"interventions":18,"overallOfficials":28,"centralContacts":33,"locations":39,"responsibleParty":130,"collaborators":132,"id":135,"slug":18,"hasResults":136,"nctId":137,"briefTitle":138,"officialTitle":139,"acronym":18,"eligibilityCriteria":140,"healthyVolunteers":136,"sex":141,"minAge":142,"maxAge":18,"enrollmentInfo":143,"targetDuration":18,"studyType":146,"phases":18,"briefSummary":147,"conditions":148,"keywords":150,"overallStatus":154,"whyStopped":18,"lastUpdateSubmitDate":155,"lastUpdatePostDateStruct":156,"startDateStruct":159,"completionDateStruct":161,"leadSponsor":163,"locationsCount":164},{"fullName":5,"class":6},"Hospital de Clinicas de Porto Alegre","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":18},[9],{"measure":10,"description":11,"timeFrame":12},"30-day in-hospital postoperative mortality","Number of participants who died during the hospital stay within 30 days after the index surgical procedure. Mortality will be assessed using routinely collected hospital electronic records, including the date of surgery, date of hospital discharge, and date of in-hospital death when applicable. Participants discharged alive before 30 days will be considered alive for this outcome. Participants who remain hospitalized beyond 30 days will be assessed up to postoperative day 30 only. This is a binary outcome, reported as death or no death within 30 days after surgery.","30 days",[14],{"measure":15,"description":16,"timeFrame":17},"Admission to intensive care unit or regular ward after surgery","Admission to an intensive care unit or to a regular inpatient ward after the index surgical procedure. Postoperative destination will be assessed using routinely collected hospital electronic records. Intensive care unit admission will include admission to an intensive care unit or equivalent critical care unit immediately after surgery. Regular inpatient ward admission will include admission to a standard hospital ward without intensive care support. This is a categorical outcome, reported according to the first postoperative destination after surgery.","Immediate postoperative destination",null,{"allocation":18,"interventionModel":18,"interventionModelDescription":18,"primaryPurpose":18,"observationalModel":20,"timePerspective":21,"maskingInfo":18},"COHORT","RETROSPECTIVE","Socioeconomic deprivation is a multidimensional determinant of health that may influence perioperative outcomes through several pathways, including differences in baseline health status, burden of comorbidities, access to timely healthcare, perioperative optimization, and hospital-level resources. Although previous studies have suggested an association between social deprivation and worse postoperative outcomes, most available evidence comes from high-income countries or from studies focused on specific surgical populations. Data from low- and middle-income countries, including Brazil, remain limited.\n\nThis study is a retrospective, multicenter cohort study designed to assess the association between socioeconomic deprivation and perioperative outcomes among surgical patients treated in Brazilian hospitals. Participating centers will include both public and private hospitals from different regions of the country. The study will use routinely collected institutional data from patients who underwent surgical procedures during the 2024 calendar year. No additional contact, intervention, or change in clinical care will occur as part of the study.\n\nThe main exposure of interest is socioeconomic deprivation, assessed through georeferenced area-level indicators based on each patient's residential address. Residential addresses will be geocoded to identify the corresponding census tract or human development unit. Socioeconomic deprivation will then be measured using validated Brazilian indices, including the Brazilian Deprivation Index, the Social Vulnerability Index, and the Municipal Human Development Index. These indices capture different dimensions of socioeconomic context, including income, education, household conditions, urban infrastructure, human capital, and vulnerability related to work and income.\n\nThe study database will include demographic, clinical, surgical, and structural variables routinely available in hospital electronic records. These variables include age, sex, ethnicity, American Society of Anesthesiologists physical status classification, educational level, occupation, surgical procedure, surgical urgency, date of surgery, date of hospital discharge or in-hospital death, surgical specialty, surgical magnitude, and type of healthcare system. Surgical procedures will be standardized using Brazilian procedural classification systems (Classificação Brasileira Hierarquizada de Procedimentos Médicos -CBHPM). If a patient undergoes more than one eligible surgical procedure during the study period, only the first procedure will be considered for outcome analysis.\n\nData will be extracted locally by the information technology teams of participating centers using structured database queries. Identifiable patient information will not be included in the analytical dataset. Residential addresses will be used only for geocoding and linkage to area-level socioeconomic indices. After geospatial processing, the final research dataset will exclude full residential addresses and other direct identifiers. Access to study data will be restricted to authorized members of the research team, and data will be stored in a secure institutional environment.\n\nThe primary analysis will evaluate whether higher levels of socioeconomic deprivation are associated with 30-day in-hospital postoperative mortality. Deprivation indices will be analyzed in categories, including quintiles, to assess gradients of risk across socioeconomic strata. Baseline characteristics will be summarized across deprivation groups using appropriate descriptive statistics. Multivariable logistic regression models will be used to estimate the association between socioeconomic deprivation and postoperative mortality after adjustment for relevant demographic, clinical, surgical, and hospital-level factors. Planned covariates include age, sex, ethnicity, ASA physical status, surgical urgency, surgical magnitude, surgical specialty, and healthcare system type.\n\nModel performance will be assessed using calibration and discrimination measures. Calibration will be evaluated using the Hosmer-Lemeshow goodness-of-fit test, and discrimination will be assessed using the area under the receiver operating characteristic curve. Results will be reported as odds ratios with 95% confidence intervals. A significance level of 5% will be used for statistical analyses.\n\nThe study also aims to explore whether incorporating socioeconomic deprivation into perioperative risk assessment may improve the identification of vulnerable surgical patients. By evaluating social deprivation alongside established clinical and surgical risk factors, this study may contribute to a better understanding of inequities in perioperative care and support future strategies for risk stratification, resource allocation, and quality improvement in both public and private healthcare settings in Brazil.","Study participants will be selected from surgical patients treated at participating public and private hospitals in Brazil. The participating centers are Hospital São José in Criciúma, Santa Catarina; Hospital de Clínicas de Porto Alegre and Hospital Nossa Senhora da Conceição in Porto Alegre, Rio Grande do Sul; Hospital São Domingos in São Luís, Maranhão; Hospital Marcelino Champagnat in Curitiba, Paraná; Hospital São Paulo in São Paulo, São Paulo; and Hospital da Universidade Federal da Bahia in Salvador, Bahia.\n\nThese hospitals represent different geographic regions of Brazil and include both public and private healthcare settings.",[25],{"label":26,"type":18,"description":27,"interventionNames":18},"2024 Surgical Patients","Patients aged 16 years or older who underwent elective or urgent surgical procedures in participating Brazilian hospitals between January 1 and December 31, 2024. Participating centers will include public and private hospitals. The cohort will be identified retrospectively from routinely collected hospital electronic records.\n\nThere will be no study intervention and no change in patient care. The exposure of interest is socioeconomic deprivation, assessed using georeferenced area-level indices derived from each patient's residential address. Patients will be categorized according to levels of socioeconomic deprivation, and perioperative outcomes will be compared across these groups.",[29],{"name":30,"affiliation":31,"role":32},"Luciana PC Stefani, Md, PhD","Hospital de Clínicas de Porto Alegre","PRINCIPAL_INVESTIGATOR",[34],{"name":35,"role":36,"phone":37,"phoneExt":18,"email":38},"Alexandre Weber, Md","CONTACT","5554991902752","aleweber@hcpa.edu.br",[40,58,72,87,96,106,117],{"facility":41,"status":18,"city":42,"state":43,"zip":44,"country":45,"countryCode":46,"cosmosGeoPoint":47,"geoPoint":52,"contacts":53},"Hospital das Clínicas da Universidade Federal da Bahia","Salvador","Estado de Bahia","40110-060","Brazil","BR",{"type":48,"coordinates":49},"Point",[50,51],-38.49096,-12.97563,{"lat":51,"lon":50},[54],{"name":55,"role":36,"phone":56,"phoneExt":18,"email":57},"Liana MTA Azi, Md, PhD","5571099901708","liana.araujo@ufba.br",{"facility":59,"status":18,"city":60,"state":61,"zip":62,"country":45,"countryCode":46,"cosmosGeoPoint":63,"geoPoint":67,"contacts":68},"Hospital São Domingos","São Luís","Maranhão","65060-645",{"type":48,"coordinates":64},[65,66],-44.30278,-2.52972,{"lat":66,"lon":65},[69],{"name":70,"role":36,"phone":37,"phoneExt":18,"email":71},"Plinio C Leal, Md, PhD","pliniocunhaleal@hotmail.com",{"facility":73,"status":18,"city":74,"state":75,"zip":76,"country":45,"countryCode":46,"cosmosGeoPoint":77,"geoPoint":81,"contacts":82},"Hospital São Marcelino Champagnat","Curitiba","Paraná","80050-370",{"type":48,"coordinates":78},[79,80],-49.27306,-25.42778,{"lat":80,"lon":79},[83],{"name":84,"role":36,"phone":85,"phoneExt":18,"email":86},"Maristela B Lopes, Md, PhD","5541984923067","maristelabuenolopes@gmail.com",{"facility":88,"status":18,"city":89,"state":90,"zip":91,"country":45,"countryCode":46,"cosmosGeoPoint":18,"geoPoint":18,"contacts":92},"Hospital São José","Criciuma","Rio Grande do Sul","88.811-500",[93],{"name":94,"role":36,"phone":37,"phoneExt":18,"email":95},"Eric B Lineburger, Md, PhD","lineburger@unesc.net",{"facility":31,"status":18,"city":97,"state":90,"zip":98,"country":45,"countryCode":46,"cosmosGeoPoint":99,"geoPoint":103,"contacts":104},"Porto Alegre","90410-000",{"type":48,"coordinates":100},[101,102],-51.23019,-30.03283,{"lat":102,"lon":101},[105],{"name":35,"role":36,"phone":37,"phoneExt":18,"email":38},{"facility":107,"status":18,"city":97,"state":90,"zip":108,"country":45,"countryCode":46,"cosmosGeoPoint":109,"geoPoint":111,"contacts":112},"Hospital Nossa Senhora da Conceição","91350-200",{"type":48,"coordinates":110},[101,102],{"lat":102,"lon":101},[113],{"name":114,"role":36,"phone":115,"phoneExt":18,"email":116},"Andre P Schmidt, Md, PhD","5551996412212","apschmidt@hcpa.edu.br",{"facility":118,"status":18,"city":119,"state":119,"zip":120,"country":45,"countryCode":46,"cosmosGeoPoint":121,"geoPoint":125,"contacts":126},"Hospital São Paulo","São Paulo","04038-032",{"type":48,"coordinates":122},[123,124],-46.63611,-23.5475,{"lat":124,"lon":123},[127],{"name":128,"role":36,"phone":37,"phoneExt":18,"email":129},"Luiz FR Falcao, Md, PhD","luizfernandofalcao@gmail.com",{"type":131,"investigatorFullName":18,"investigatorTitle":18,"investigatorAffiliation":18,"oldNameTitle":18,"oldOrganization":18},"SPONSOR",[133],{"name":134,"class":6},"Federal University of Rio Grande do Sul","100637494",false,"NCT07621211","Social Deprivation and Postoperative Mortality","Assessment of the Impact of Socioeconomic Factors on Perioperative Outcomes","Inclusion Criteria:\n\n* Patients aged 16 years or older.\n* Patients who underwent an elective or urgent surgical procedure in an operating room at a participating hospital.\n* Surgical procedure performed between January 1, 2024, and December 31, 2024.\n\nExclusion Criteria:\n\n* Patients who underwent ophthalmologic surgery, diagnostic procedures only and procedures performed under local anesthesia only.\n* Patients who underwent liver, lung or heart transplantation.\n* Patients diagnosed with brain death who were organ donor candidates.","ALL","16 Years",{"count":144,"type":145},45000,"ESTIMATED","OBSERVATIONAL","Socioeconomic factors are associated with differences in health outcomes, but their impact on surgical patients is still not well understood, especially in low- and middle-income countries. Social deprivation may affect perioperative outcomes through differences in access to healthcare, burden of comorbidities, timing of care, and hospital resources. However, few studies have evaluated this association in large and diverse surgical populations, and data from Brazil are limited.\n\nThis retrospective multicenter cohort study will evaluate the association between socioeconomic deprivation and perioperative outcomes among patients undergoing surgery in Brazil. The study will include patients aged 16 years or older who underwent elective or urgent surgical procedures in participating public and private hospitals between January 1 and December 31, 2024. Patients undergoing ophthalmologic procedures, diagnostic procedures, procedures performed under local anesthesia only, selected transplant procedures, and organ donors after brain death will be excluded.\n\nSocioeconomic deprivation will be assessed using georeferenced area-level indices derived from each patient's residential address, including the Brazilian Deprivation Index, the Social Vulnerability Index, and the Municipal Human Development Index. The researchers will grou patients according to deprivation levels, and analyze the association between deprivation and postoperative outcomes.\n\nThe primary outcome will be 30-day in-hospital postoperative mortality. The study will also evaluate demographic, clinical, surgical, and hospital-level factors associated with mortality, including age, sex, ethnicity, American Society of Anesthesiologists physical status classification, surgical urgency, surgical magnitude, surgical specialty, and type of healthcare system. Multivariable logistic regression models will be used to assess whether socioeconomic deprivation is independently associated with postoperative mortality after adjustment for relevant clinical and surgical factors.\n\nThe results of this study may improve the understanding of how socioeconomic deprivation influences perioperative risk in Brazil. The findings may help identify vulnerable surgical patients, support risk prediction models that include social determinants of health, and inform strategies to reduce inequities in perioperative care.",[149],"Social Deprivation",[151,152,153],"surgical procedures","social deprivation","risk factors","NOT_YET_RECRUITING","2026-05-27",{"date":157,"type":158},"2026-06-02","ACTUAL",{"date":160,"type":145},"2026-05-15",{"date":162,"type":145},"2028-12",{"name":5,"class":6},7]