scholarly journals The 4-Year Experience with Implementation and Routine Use of Pathogen Reduction in a Brazilian Hospital

Pathogens ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1499
Author(s):  
Roberta Maria Fachini ◽  
Rita Fontão-Wendel ◽  
Ruth Achkar ◽  
Patrícia Scuracchio ◽  
Mayra Brito ◽  
...  

(1) Background: We reviewed the logistics of the implementation of pathogen reduction (PR) using the INTERCEPT Blood System™ for platelets and the experience with routine use and clinical outcomes in the patient population at the Sírio-Libanês Hospital of São Paulo, Brazil. (2) Methods: Platelet concentrate (PC), including pathogen reduced (PR-PC) production, inventory management, discard rates, blood utilization, and clinical outcomes were analyzed over the 40 months before and after PR implementation. Age distribution and wastage rates were compared over the 10 months before and after approval for PR-PC to be stored for up to seven days. (3) Results: A 100% PR-PC inventory was achieved by increasing double apheresis collections and production of double doses using pools of two single apheresis units. Discard rates decreased from 6% to 3% after PR implementation and further decreased to 1.2% after seven-day storage extension for PR-PCs. The blood utilization remained stable, with no increase in component utilization. A significant decrease in adverse transfusion events was observed after the PR implementation. (4) Conclusion: Our experience demonstrates the feasibility for Brazilian blood centers to achieve a 100% PR-PC inventory. All patients at our hospital received PR-PC and showed no increase in blood component utilization and decreased rates of adverse transfusion reactions.

Author(s):  
Roberta Maria Fachini ◽  
Rita Fontão-Wendel ◽  
Ruth Achkar ◽  
Patrícia Scuracchio ◽  
Mayra Brito ◽  
...  

(1) Background: We reviewed the logistics of the implementation of pathogen inactivation (PI) using the INTERCEPT Blood System™ for platelets and the experience with routine use and clinical outcomes in the patient population at the Sírio-Libanês Hospital of São Paulo, Brazil. (2) Methods: Platelet concentrate (PC), including pathogen reduced (PR-PC) production, inventory management, discard rates, blood utilization, and clinical outcomes were analyzed over the 40 months before and after PI implementation. Age distribution and wastage rates were compared over the 10 months before and after approval for PR-PC to be stored for up to 7 days. (3) Results: A 100% PR-PC inventory was achieved by increasing double apheresis collections and production of double doses using pools of two single apheresis units. Discard rates decreased from 6% to 3% after PI implementation and further decreased to 1.2% after 7-day storage extension for PR-PCs. The blood utilization remained stable, with no increase in component utilization. A significant decrease in adverse transfusion events was observed after the PI implementation. (4) Conclusion: Our experience demonstrates the feasibility for Brazilian blood centers to achieve a 100% PR-PC inventory. All patients at our hospital received PR-PC and showed no increase in blood component utilization and decreased rates of adverse transfusion reactions.


Transfusion ◽  
2020 ◽  
Vol 60 (11) ◽  
pp. 2581-2590
Author(s):  
Steven M. Frank ◽  
Brian D. Lo ◽  
Lekha V. Yesantharao ◽  
Kevin R. Merkel ◽  
Caroline X. Qin ◽  
...  

2020 ◽  
Vol 154 (Supplement_1) ◽  
pp. S123-S124
Author(s):  
H C Tsang ◽  
P Mathias ◽  
N Hoffman ◽  
M B Pagano

Abstract Introduction/Objective To increase efficiency of blood product ordering and delivery processes and improve appropriateness of orders, a major project to implement clinical decision support (CDS) alerts in the electronic medical record (EMR) was undertaken. A design team was assembled including hospital and laboratory medicine information technology and clinical informatics, transfusion services, nursing and clinical services from medical and surgical specialties. Methods Consensus-derived thresholds in hemoglobin/hematocrit, platelet count, INR, and fibrinogen for red blood cell (RBC), platelet, plasma, and cryoprecipitate blood products CDS alerts were determined. Data from the EMR and laboratory information system were queried from the 12-month period before and after implementation and the data was analyzed. Results During the analysis period, 5813 RBC (avg. monthly = 484), 1040 platelet (avg. monthly = 87), 423 plasma (avg. monthly = 35), and 88 cryoprecipitate (avg. monthly = 7) alerts fired. The average time it took for a user to respond was 5.175 seconds. The total amount of time alerts displayed over 12 months was 5813 seconds (~97 minutes of user time) compared to 56503 blood products transfused. Of active CDS alerts, hemoglobin/RBC alerts fired most often with ~1:5 (31141 RBC units) alert to transfusion ratio and 4% of orders canceled (n=231) when viewing the alert, platelet alerts fired with ~1:15 (15385 platelet units) alert to transfusion ratio and 6% orders canceled (n=66), INR/plasma alerts fired with ~1:21 (8793 plasma units) alert to transfusion ratio and 10% orders canceled (n=41), cryoprecipitate alerts fired with ~1:13 (1184 cryoprecipitate units) alert to transfusion ratio and 10% orders canceled (n=9). Overall monthly blood utilization normalized to 1000 patient discharges did not appear to have statistically significant differences comparing pre- versus post-go-live, except a potentially significant increase in monthly plasma usage at one facility with p = 0.34, although possibly due to an outlier single month of heavy usage. Conclusion Clinical decision support alerts can guide provider ordering with minimal user burden. This resulted in increased safety and quality use of the ordering process, although overall blood utilization did not appear to change significantly.


Author(s):  
Angus Jeang ◽  
Chien-Ping Chung

Because of the stochastic nature of production systems, it is necessary to first build an uncertainty model for subsequent real applications. Moreover, process parameter planning, quality design, and production inventory management are interdependent elements. In this research, a computer simulation model via computer-aided engineering (CAE) was developed to determine the optimal process parameters, lot size, and back order intervals for an integrated process design and inventory management system with simultaneous quality and cost considerations. Based on the estimated process time and costs obtained using CAE, the derived production rate and unit cost were then used for production inventory applications. In consideration of the uncertainty factor, the response surface method (RSM) was employed to analyze the output, namely the total costs incurred in employing the proposed approach, as well as the inputs, which include the cutting parameters, production quantity, and back order intervals. After the RSM was used to obtain the response functions, which represent the output of the collective interests, the mathematical programming (MP) was formulated based on the response functions to determine the optimal process parameters, process quality levels, production order quantities, and back order intervals. The total cost per set time unit was minimized by determining the required quality level, process parameter values, Economic Production Quantity (EPQ), and back order intervals. A cutting example was chosen to demonstrate the proposed approach. Two cases were used for comparison: the Integrated Case (the proposed approach herein) and the Disintegrated Case.


Author(s):  
Sarah Song ◽  
Gregg Fonarow ◽  
Wenqin Pan ◽  
DaiWai Olson ◽  
Adrian F Hernandez ◽  
...  

Background: Get With The Guidelines (GWTG)-Stroke is a national, hospital-based quality improvement program developed by the American Heart Association. While studies have shown a beneficial effect of hospital participation in GWTG-Stroke upon processes of care, whether there are associated improvements in clinical outcomes has not been previously investigated. Methods: From among all acute care US hospitals, we matched 366 hospitals that joined the GWTG-Stroke program between April 2004 and December 2007, with 366 hospitals that did not. Matching was based on ischemic stroke case volume, calendar year, baseline hospital post-stroke 1-year all-cause mortality rates, teaching status, and geographic region. Outcomes of all acute ischemic stroke (AIS) patients admitted to the study hospitals were abstracted from the CMS administrative claims database (65 years and older). Outcomes at matched hospitals were compared in the PRE-GWTG-Stroke period (-540 to -181 days before program launch), RUN-UP period (-180- to -1 day), EARLY period (0 to 180 days) and SUSTAINED period (181 to 540 days). Additional analysis was performed of the entire BEFORE (-540 to -1 days) and AFTER periods (0 to 540 days). The main analytical approach was stratified Cox proportional hazard modeling, with matched site ID at stratum. We adjusted for patient characteristics (age, gender, race, medical history) and hospital characteristics (rural vs. urban, # beds, annual IS discharges.) Results: The study analyzed 88,584 AIS admissions at the 366 GWTG-Stroke hospitals and 85,401 admissions at the 366 matched non-GWTG-Stroke hospitals. In adjusted analysis comparing BEFORE and AFTER periods, GWTG-Stroke hospitals achieved reduced 30 day mortality (30M - HR 0.911, p<0.0001), reduced 1 year mortality (1YM - HR 0.902, p<0.0001), reduced 30 day all-cause rehospitalization (HR 0.956, p=0.013), reduced 30 day stroke rehospitalization (HR 0.927, p=0.038), and reduced 1 year all-cause rehospitalization (HR 0.972, p=0.007). Conversely, matched, non-GWTG-Stroke hospitals showed only reduced 30M (HR 0.954, p=0.010) between the BEFORE and AFTER periods. Comparing the degree of change at GWTG-Stroke with non-GWTG Stroke hospitals, there were greater improvements in discharge to home (DCH), 30M, and 1YM at GWTG-Stroke hospitals in each of the intervention periods: EARLY: DCH, HR 1.090, p<0.0001; 30M, HR 0.894, p=0.0006; 1YM, HR 0.889, p<0.0001; SUSTAINED: DCH, HR 1.097, p<0.0001; 30M, HR 0.934, p=0.004; 1YM, HR 0.918, p<0.0001. Conclusions: Hospitals joining the GWTG-Stroke quality improvement program between 2004-2008 achieved significantly greater improvement in stroke patient outcomes than matched hospitals not joining the program, with lower all-cause mortality at 30 days and 1 year and higher rates of discharge directly to home.


PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0182393 ◽  
Author(s):  
Qian Li ◽  
Zhongheng Zhang ◽  
Bo Xie ◽  
Xiaowei Ji ◽  
Jiahong Lu ◽  
...  

2021 ◽  
Author(s):  
Soojin Ahn ◽  
Youngjae Choi ◽  
Woohyeok Choi ◽  
Young Tak Jo ◽  
Harin Kim ◽  
...  

Abstract BackgroundAlcohol use disorder (AUD) is a common psychiatric comorbidity in schizophrenia, associated with poor clinical outcomes and medication noncompliance. Most previous studies on the effect of alcohol use in patients with schizophrenia had limitations of small sample size and a cross-sectional design. Therefore, this study aimed to use a nationwide population database to investigate the impact of AUD on clinical outcomes of schizophrenia.MethodsData from the Health Insurance Review Agency database in South Korea from January 1, 2007 to December 31, 2016 was used. Among 64,442 patients with incident schizophrenia, 1,598 with comorbid AUD were selected based on the diagnostic code F10. We performed between- and within-group analyses to compare the rates of psychiatric admissions and emergency room (ER) visits and medication possession ratio (MPR) with control patients having schizophrenia matched for the onset age, sex, and observation period.ResultsThe rates of psychiatric admissions and ER visits decreased after the diagnosis of AUD in both groups; however, the decrease was significantly greater in patients with comorbid AUD compared to the control group. While the case group showed an increase in MPR after the diagnosis of AUD, MPR decreased in the control patients. The rates of psychiatric admissions, ER visits and MPR were worse in the schizophrenia group with comorbid AUD both before and after the diagnosis of AUD.ConclusionsClinical outcomes were worse in the comorbid AUD group than in the control group before and after the diagnosis of AUD. Considering that patients with schizophrenia with comorbid AUD had poorer clinical outcomes even before the diagnosis of AUD, schizophrenia with comorbid AUD could be a distinct subtype of schizophrenia.


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