[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-455054-105":59,"doc-detail-455054-en":135},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":128,"head_meta":130,"extra_data":132,"updated_unix":134},105,"en","mimic-iv-database-serum-osmolality-and-prognosis-after-hemorrhagic-stroke-surgery","MIMIC-IV database - serum osmolality and prognosis after hemorrhagic stroke surgery","","Osmotherapy is routinely used for postoperative hemorrhagic stroke patients in the neuro-intensive care unit, making serum osmolality monitoring clinically important. Using the MIMIC-IV database, a retrospective cohort of 342 postoperative hemorrhagic stroke cases was analyzed to test whether serum osmolality predicts in-hospital all-cause mortality. Patients were grouped into six clusters via consensus clustering and evaluated with COX proportional hazards regression, restricted cubic splines, and Kaplan–Meier survival analyses. Cluster 4 showed lower mortality, yet serum osmolality was not a significant mortality predictor after adjustment for non-linear effects.",{"@graph":69,"@context":127},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/mimic-iv-database-serum-osmolality-and-prognosis-after-hemorrhagic-stroke-surgery/455054/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/mimic-iv-database-serum-osmolality-and-prognosis-after-hemorrhagic-stroke-surgery/455054.png","ImageObject",300,407,{"name":92,"@type":93},"Ben ","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-09","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119,123],{"name":110,"@type":111,"acceptedAnswer":112},"What was the main outcome used to assess prognosis in this study?","Question",{"text":113,"@type":114},"The primary outcome was in-hospital all-cause mortality for postoperative hemorrhagic stroke patients.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How did the study analyze the relationship between serum osmolality and mortality?",{"text":118,"@type":114},"It used consensus clustering to form six patient clusters, then applied COX proportional hazards regression, restricted cubic spline curves for non-linear associations, Kaplan–Meier survival curves, and log-rank tests.",{"name":120,"@type":111,"acceptedAnswer":121},"Did serum osmolality significantly predict mortality after adjustment?",{"text":122,"@type":114},"No. After adjusting for potential non-linear effects, serum osmolality did not significantly influence mortality risk (P = .742).",{"name":124,"@type":111,"acceptedAnswer":125},"Which factors were associated with mortality risk besides serum osmolality?",{"text":126,"@type":114},"Age over 65, gender, absence of hypertension, lack of hypertonic therapy, no invasive mechanical ventilation, and no diuretic use were significant factors influencing mortality risk.","https://schema.org",{"og:url":83,"og:type":129,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":131,"canonical":83},"index,follow",{"doc_id":133,"site_id":62},455054,1790807743,{"code":4,"msg":5,"data":136},{"doc_id":133,"user_id":137,"nickname":92,"user_avatar":138,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":139,"file_id":140,"file_url":141,"file_type":142,"file_size":143,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":105,"language":144,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":145,"faqs":146,"seo_title":147,"seo_description":67,"update_tm":148,"read_time":149,"preview_page_count":4},2336478951081,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","®  \n Observational Study   \nMIMIC-IV database: should serum osmolality bea critical factor in assessing prognosis for adult patients following hemorrhagic stroke surgery?  \nZhengbo Yuan, MDa ,b , Zhanxiang Wang, MDc ,*  \n\n| Abstract\u003Cbr>Osmotherapy is commonly applied to postoperative patients with hemorrhagic stroke (HS) in the neuro-intensive care unit, necessitating precise monitoring of internal environment parameters such as serum osmolality. Although serum osmolality imbalances are associated with poor outcomes, definitive evidence regarding its prognostic significance in postoperative HS patients remains limited. This study analyzes the correlation between serum osmolality and in-hospital all-cause mortality in postoperative HS patients based on a large sample of postoperative HS patients from the Medical Information Mart for Intensive Care-IV database. A retrospective cohort of 342 HS patients from Medical Information Mart for Intensive Care-IV was analyzed. Consensus clustering was applied to group patients into 6 clusters, with COX proportional hazards regression models used to assess the relationship between serum osmolality and in-hospital mortality. Restricted cubic spline curves were drawn to evaluate the non-linear associations between variables and outcomes. Survival analysis was performed using the Kaplan–Meier method to estimate patient outcomes across groups, and intergroup differences were statistically compared with the log-rank test. Subgroup analyses were conducted to assess differences across various populations. The study included 342 patients, with consensus clustering identifying 6 groups. A significant difference in survival was found between Cluster 4 and the combined group (Cluster 1 + 2 + 3 + 5 + 6), with Cluster 4 showing a lower mortality rate (Log-rank P = .042) . COX regression models adjusting for age, gender, comorbidities, and common clinical scores consistently showed that Cluster 4 had a lower risk of mortality. Furthermore, serum osmolality was not found to significantly influence mortality risk after adjusting for potential non-linear effects (P = .742) . Serum osmolality does not appear to be a strong predictor of mortality in postoperative patients with surgically treated HS in theneuro-intensive care unit. Age (>65 years), gender, absence of hypertension, lack of hypertonic therapy, no invasive mechanical ventilation, and no diuretic use were significant factors influencing mortality risk. |\n| --- |\n| Abbreviations: ALT = alanine aminotransferase, APS-III = acute physiology score-III , AST = aspartate aminotransferase, BCR = the blood urea nitrogen-to-creatinine ratio, BUN = blood urea nitrogen, CCI = Charles Comorbidity Index, CI = Confidence Interval, Cr = creatinine, ESPEN = The European Society for Clinical Nutrition and Metabolism, HR = hazard ratio, HS = hemorrhagic stroke, HTS = hypertonic saline, ICU = intensive care unit, IS = ischemic stroke, LODS = Logistic Organ Dysfunction System, MIMIC-IV = The Medical Information Mart for Intensive Care-IV, NSAH = non-traumatic subarachnoid hemorrhage, OASS = overt agitation severity scale, RCS = restricted cubic spline, SICH = spontaneous intracerebral hemorrhage, SIRS = systemic inflammatory response syndrome, TBI = traumatic brain injury, WBC = white blood cell. |\n| Keywords: hemorrhagic stroke, in-hospital all-cause mortality, MIMIC-IV database, neuro intensive care unit, serum osmolality |\n\nThe authors have no funding and conflicts of interest to disclose. The datasets generated during and/or analyzed during the current study are publicly available.  \nThis study using the MIMIC-IV database was approved by the review boards of the Massachusetts Institute of Technology and Beth Israel Deaconess Medical Center, with patient information de-identified to eliminate any ethical concerns. Given that the MIMIC-IV database is a publicly accessible resource, the requirement for specific ethical approval and individual informed consent for th","cbCaitOlbSxMPPNH","https://ap.wps.com/l/cbCaitOlbSxMPPNH","pdf",1233005,"English","# Introduction\n## Study design and data source (MIMIC-IV)\n## Clustering and outcome assessment\n## Survival and subgroup analyses\n## Main findings and clinical factors affecting mortality","[{\"question\":\"What was the main outcome used to assess prognosis in this study?\",\"answer\":\"The primary outcome was in-hospital all-cause mortality for postoperative hemorrhagic stroke patients.\"},{\"question\":\"How did the study analyze the relationship between serum osmolality and mortality?\",\"answer\":\"It used consensus clustering to form six patient clusters, then applied COX proportional hazards regression, restricted cubic spline curves for non-linear associations, Kaplan–Meier survival curves, and log-rank tests.\"},{\"question\":\"Did serum osmolality significantly predict mortality after adjustment?\",\"answer\":\"No. After adjusting for potential non-linear effects, serum osmolality did not significantly influence mortality risk (P = .742).\"},{\"question\":\"Which factors were associated with mortality risk besides serum osmolality?\",\"answer\":\"Age over 65, gender, absence of hypertension, lack of hypertonic therapy, no invasive mechanical ventilation, and no diuretic use were significant factors influencing mortality risk.\"}]","MIMIC-IV database - serum osmolality and prognosis after hemorrhagic stroke surgery | PDF",1790742019,28]