16 research outputs found
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Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity.
BackgroundRandomized controlled trial evidence supports a restrictive strategy of red blood cell (RBC) transfusion, but significant variation in clinical transfusion practice persists. Patient characteristics other than hemoglobin levels may influence the decision to transfuse RBCs and explain some of this variation. Our objective was to evaluate the role of patient comorbidities and severity of illness in predicting inpatient red blood cell transfusion events.MethodsWe developed a predictive model of inpatient RBC transfusion using comprehensive electronic medical record (EMR) data from 21 hospitals over a four year period (2008-2011). Using a retrospective cohort study design, we modeled predictors of transfusion events within 24 hours of hospital admission and throughout the entire hospitalization. Model predictors included administrative data (age, sex, comorbid conditions, admission type, and admission diagnosis), admission hemoglobin, severity of illness, prior inpatient RBC transfusion, admission ward, and hospital.ResultsThe study cohort included 275,874 patients who experienced 444,969 hospitalizations. The 24 hour and overall inpatient RBC transfusion rates were 7.2% and 13.9%, respectively. A predictive model for transfusion within 24 hours of hospital admission had a C-statistic of 0.928 and pseudo-R2 of 0.542; corresponding values for the model examining transfusion through the entire hospitalization were 0.872 and 0.437. Inclusion of the admission hemoglobin resulted in the greatest improvement in model performance relative to patient comorbidities and severity of illness.ConclusionsData from electronic medical records at the time of admission predicts with very high likelihood the incidence of red blood transfusion events in the first 24 hours and throughout hospitalization. Patient comorbidities and severity of illness on admission play a small role in predicting the likelihood of RBC transfusion relative to the admission hemoglobin
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Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity.
BackgroundRandomized controlled trial evidence supports a restrictive strategy of red blood cell (RBC) transfusion, but significant variation in clinical transfusion practice persists. Patient characteristics other than hemoglobin levels may influence the decision to transfuse RBCs and explain some of this variation. Our objective was to evaluate the role of patient comorbidities and severity of illness in predicting inpatient red blood cell transfusion events.MethodsWe developed a predictive model of inpatient RBC transfusion using comprehensive electronic medical record (EMR) data from 21 hospitals over a four year period (2008-2011). Using a retrospective cohort study design, we modeled predictors of transfusion events within 24Â hours of hospital admission and throughout the entire hospitalization. Model predictors included administrative data (age, sex, comorbid conditions, admission type, and admission diagnosis), admission hemoglobin, severity of illness, prior inpatient RBC transfusion, admission ward, and hospital.ResultsThe study cohort included 275,874 patients who experienced 444,969 hospitalizations. The 24Â hour and overall inpatient RBC transfusion rates were 7.2% and 13.9%, respectively. A predictive model for transfusion within 24Â hours of hospital admission had a C-statistic of 0.928 and pseudo-R2 of 0.542; corresponding values for the model examining transfusion through the entire hospitalization were 0.872 and 0.437. Inclusion of the admission hemoglobin resulted in the greatest improvement in model performance relative to patient comorbidities and severity of illness.ConclusionsData from electronic medical records at the time of admission predicts with very high likelihood the incidence of red blood transfusion events in the first 24Â hours and throughout hospitalization. Patient comorbidities and severity of illness on admission play a small role in predicting the likelihood of RBC transfusion relative to the admission hemoglobin
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The epidemiology of platelet transfusions: an analysis of platelet use at 12 US hospitals.
BackgroundUsing the Recipient and Donor Epidemiology Study-III (REDS-III) recipient and donor databases, we performed a retrospective analysis of platelet use in 12 US hospitals that were participants in REDS-III.Study design and methodsData were electronically extracted from participating transfusion service and blood center computer systems and from medical records of the 12 REDS-III hospitals. All platelet transfusions from 2013 to 2016 given to patients aged 18 years and older were included in the analysis.ResultsThere were 28,843 inpatients and 2987 outpatients who were transfused with 163,719 platelet products (103,371 apheresis, 60,348 whole blood derived); 93.5% of platelets were leukoreduced and 72.5% were irradiated. Forty-six percent were transfused to patients with an International Classification of Diseases, 9th/10th Revision (ICD-9/10) diagnosis of leukemia, myelodysplastic syndrome (MDS), or lymphoma. The general ward and the intensive care unit (ICU) were the most common issue locations. Only 54% of platelet transfusions were ABO identical; and 60.6% of platelet transfusions given to Rh-negative patients were Rh positive. The most common pretransfusion platelet count range for inpatients was 20,000 to 50,000/μL, for outpatients it was 10,000 to 20,000/μL. Among ICU patients, 35% of platelet transfusion episodes had a platelet count of greater than 50,000/μL; this was only 8% for general ward and 2% for outpatients. The median posttransfusion increment, not corrected for platelet dose and/or patient size, ranged from 12,000 to 20,000/μL for inpatients, and from 17,000 to 27,000/μL for outpatients.ConclusionsThese data from one of the largest reviews of platelet transfusion practice to date provide guidance for where to focus future clinical research studies and platelet blood management programs
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The epidemiology of platelet transfusions: an analysis of platelet use at 12 US hospitals
Using the Recipient and Donor Epidemiology Study-III (REDS-III) recipient and donor databases, we performed a retrospective analysis of platelet use in 12 US hospitals that were participants in REDS-III.
Data were electronically extracted from participating transfusion service and blood center computer systems and from medical records of the 12 REDS-III hospitals. All platelet transfusions from 2013 to 2016 given to patients aged 18 years and older were included in the analysis.
There were 28,843 inpatients and 2987 outpatients who were transfused with 163,719 platelet products (103,371 apheresis, 60,348 whole blood derived); 93.5% of platelets were leukoreduced and 72.5% were irradiated. Forty-six percent were transfused to patients with an International Classification of Diseases, 9th/10th Revision (ICD-9/10) diagnosis of leukemia, myelodysplastic syndrome (MDS), or lymphoma. The general ward and the intensive care unit (ICU) were the most common issue locations. Only 54% of platelet transfusions were ABO identical; and 60.6% of platelet transfusions given to Rh-negative patients were Rh positive. The most common pretransfusion platelet count range for inpatients was 20,000 to 50,000/μL, for outpatients it was 10,000 to 20,000/μL. Among ICU patients, 35% of platelet transfusion episodes had a platelet count of greater than 50,000/μL; this was only 8% for general ward and 2% for outpatients. The median posttransfusion increment, not corrected for platelet dose and/or patient size, ranged from 12,000 to 20,000/μL for inpatients, and from 17,000 to 27,000/μL for outpatients.
These data from one of the largest reviews of platelet transfusion practice to date provide guidance for where to focus future clinical research studies and platelet blood management programs
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Discovery of False Elite Controllers: HIV Antibody-Positive RNA-Negative Blood Donors Found To Be on Antiretroviral Therapy.
BackgroundAn increase in potential HIV elite controllers (EC) and anecdotal reports of antiretroviral therapy (ART) use among South African blood donors led us to verify EC status.MethodsStored plasma samples from potential EC were tested for ART drugs. Demographic and temporal associations were examined using multivariable logistic regression.ResultsOf 226 potential EC, 150 (66.4%) had detectable ART with increasing prevalence by year (OR = 7.57 for 2016 vs 2010, 95% confidence interval, 1.96-32.17).DiscussionFalse presumptive EC status due to undisclosed ART represents a growing proportion of potential EC donors in South Africa coincident with the country's ART rollout
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The impact of human immunodeficiency virus infection on obstetric hemorrhage and blood transfusion in South Africa.
BackgroundGlobally, as in South Africa, obstetric hemorrhage (OH) remains a leading cause of maternal mortality and morbidity. Although blood transfusion is critical to OH management, the incidence and predictors of transfusion as well as their relation to human immunodeficiency virus (HIV) infection are poorly described.Study design and methodsA cross-sectional study was conducted of all peripartum patients at four major hospitals in South Africa (April to July 2012). Comprehensive clinical data were collected on patients who sustained OH and/or were transfused. Logistic regression was used to model risk factors for OH and transfusion.ResultsA total of 15,725 peripartum women were evaluated, of whom 3969 (25.2%) were HIV positive. Overall, 387 (2.5%) women sustained OH and 438 (2.8%) received transfusions, including 213 (1.4%) women with both OH and transfusion. There was no significant difference in OH incidence between HIV-positive (2.8%) and HIV-negative (2.3%) patients (adjusted odds ratio [OR], 0.95; 95% confidence interval [CI], 0.72-1.25). In contrast, the incidence of blood transfusion was significantly higher in HIV-positive (3.7%) than in HIV-negative (2.4%) patients (adjusted OR, 1.52; 95% CI, 1.14-2.03). Other risk factors for transfusion included OH, low prenatal hemoglobin, the treating hospital, lack of prenatal care, and gestational age of not more than 34 weeks.ConclusionIn the South African obstetric setting, the incidence of peripartum blood transfusion is significantly higher than in the United States and other high-income countries while OH incidence is similar. While OH and prenatal anemia are major predictors of transfusion, HIV infection is a common and independent contributing factor
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The impact of human immunodeficiency virus infection on obstetric hemorrhage and blood transfusion in South Africa.
BackgroundGlobally, as in South Africa, obstetric hemorrhage (OH) remains a leading cause of maternal mortality and morbidity. Although blood transfusion is critical to OH management, the incidence and predictors of transfusion as well as their relation to human immunodeficiency virus (HIV) infection are poorly described.Study design and methodsA cross-sectional study was conducted of all peripartum patients at four major hospitals in South Africa (April to July 2012). Comprehensive clinical data were collected on patients who sustained OH and/or were transfused. Logistic regression was used to model risk factors for OH and transfusion.ResultsA total of 15,725 peripartum women were evaluated, of whom 3969 (25.2%) were HIV positive. Overall, 387 (2.5%) women sustained OH and 438 (2.8%) received transfusions, including 213 (1.4%) women with both OH and transfusion. There was no significant difference in OH incidence between HIV-positive (2.8%) and HIV-negative (2.3%) patients (adjusted odds ratio [OR], 0.95; 95% confidence interval [CI], 0.72-1.25). In contrast, the incidence of blood transfusion was significantly higher in HIV-positive (3.7%) than in HIV-negative (2.4%) patients (adjusted OR, 1.52; 95% CI, 1.14-2.03). Other risk factors for transfusion included OH, low prenatal hemoglobin, the treating hospital, lack of prenatal care, and gestational age of not more than 34 weeks.ConclusionIn the South African obstetric setting, the incidence of peripartum blood transfusion is significantly higher than in the United States and other high-income countries while OH incidence is similar. While OH and prenatal anemia are major predictors of transfusion, HIV infection is a common and independent contributing factor
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Association of donor age, body mass index, hemoglobin, and smoking status with in-hospital mortality and length of stay among red blood cell-transfused recipients.
BackgroundRecent publications have reported conflicting findings regarding associations of blood donor demographics and mortality of transfused patients. We hypothesized that the analysis of additional donor characteristics and consideration of alternative outcomes might provide insight into these disparate results.Study design and methodsWe analyzed data from a retrospective cohort of transfused patients from the Recipient Epidemiology and Donor Evaluation Study-III (REDS-III). We used stratified Cox regression models to estimate associations between blood donor characteristics and hospital mortality and posttransfusion length of stay among patients transfused red blood cell (RBC) units. Donor characteristics evaluated included age, body mass index, hemoglobin levels, and smoking status. The statistical analyses were adjusted for recipient factors, including total number of transfusions.ResultsWe studied 93,726 patients in 130,381 hospitalizations during which 428,461 RBC units were transfused. There were no associations between blood donor characteristics and hospital mortality. Receipt of RBC units from donors less than 20 years of age was associated with a shorter hospital length of stay (hazard ratio for discharge per transfused unit, 1.03; 95% confidence interval, 1.02-1.04; p < 0.001) but not for other donor characteristics.ConclusionWe found no evidence of associations between blood donor factors and in-hospital mortality. Our finding of shorter hospital length of stay in patients transfused RBCs from younger donors is intriguing but requires confirmation. Future collaborations are needed to develop a framework of appropriate methodologic approaches to be used in linked analyses across large cohorts
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Equivalent inpatient mortality among direct-acting oral anticoagulant and warfarin users presenting with major hemorrhage
Extrapolation of clinical trial results comparing warfarin and direct-acting oral anticoagulant (DOAC) users experiencing major hemorrhage to clinical care is challenging due to differences seen among non-randomized oral anticoagulant users, bleed location, and etiology. We hypothesized that inpatient all-cause-mortality among patients presenting with major hemorrhage differed based on the home-administered anticoagulant medication class, DOAC versus warfarin.
More than 1.5 million hospitalizations were screened and 3731 patients with major hemorrhage were identified in the REDS-III Recipient Database. Propensity score matching and stratification were used to account for potentially confounding factors.
Inpatient all-cause-mortality was lower for DOAC (HR = 0.60, 95%CI 0.45–0.80, p = 0.0005) before accounting for confounding and competing events. Inpatient all-cause-mortality for 1266 propensity-score-matched patients compared using proportional hazards regression did not differ (HR = 0.84, 95%CI 0.58–1.22, p = 0.36). Inpatient all-cause-mortality in stratified analyses (warfarin as reference) produced: HR = 0.69 (95%CI 0.31–1.55) for traumatic head injuries; HR = 1.10 (95%CI 0.62–1.95) for non-traumatic head injuries; HR = 0.62 (95%CI 0.20–1.94) for traumatic, non-head injuries; and HR = 0.69 (95%CI 0.29–1.63) for non-traumatic, non-head injuries. Mean time to discharge was shorter for DOAC (HR = 1.17, 95%CI 1.05–1.30, p = 0.0034) in the propensity score matched analysis. Plasma transfusion occurred in 42% of warfarin hospitalizations and 11% of DOAC hospitalizations. Vitamin K was administered in 63% of warfarin hospitalizations.
After accounting for differences in patient characteristics, location of bleed, and traumatic injury, inpatient survival was no different in patients presenting with major hemorrhage while on DOAC or warfarin.
•Studies of DOAC outcomes following major hemorrhage have bias, confounding, and competing events.•We compared DOAC and warfarin users with major hemorrhage accounting for these factors.•All-cause inpatient mortality was no different; hospital length of stay was shorter for DOAC.•Use of plasma and vitamin K was greater among warfarin users