scholarly journals Zero balance ultrafiltration using dialysate during nationwide bicarbonate shortage: a retrospective analysis

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Ryan Mullane ◽  
Lance Fristoe ◽  
Nicholas W. Markin ◽  
Tara R. Brakke ◽  
Helen Mari Merritt-Genore ◽  
...  
Keyword(s):  
Cardiopulmonary Bypass ◽  
Sodium Chloride ◽  
Sodium Bicarbonate ◽  
Medical Center ◽  
Academic Medical Center ◽  
Serum Bicarbonate ◽  
Academic Medical ◽  
Historical Group ◽  
Blood Potassium ◽  
Bicarbonate Solutions

Abstract Background Zero balance ultrafiltration (Z-BUF) utilizing injectable 8.4% sodium bicarbonate is utilized to treat hyperkalemia and metabolic acidosis associated with cardiopulmonary bypass (CPB). The nationwide shortage of injectable 8.4% sodium bicarbonate in 2017 created a predicament for the care of cardiac surgery patients. Given the uncertainty of availability of sodium bicarbonate solutions, our center pro-actively sought a solution to the sodium bicarbonate shortage by performing Z-BUF with dialysate (Z-BUF-D) replacement fluid for patients undergoing cardiopulmonary bypass. Methods Single-center, retrospective observational evaluation of the first 46 patients at an academic medical center who underwent Z-BUF using dialysate over a period of 150 days with comparison of these findings to a historical group of 39 patients who underwent Z-BUF with sodium chloride (Z-BUF-S) over the preceding 150 days. The primary outcome was the change in whole blood potassium levels pre- and post-Z-BUF-D. Secondary outcomes included changes in pre- and post-Z-BUF-D serum bicarbonate levels and the amount of serum bicarbonate used in each Z-BUF cohort (Z-BUF-D and Z-BUF-S). Results Z-BUF-D and Z-BUF-S both significantly reduced potassium levels during CPB. However, Z-BUF-D resulted in a significantly decreased need for supplemental 8.4% sodium bicarbonate administration during CPB (52 mEq ± 48 vs. 159 mEq ± 85, P < 0.01). There were no complications directly attributed to the Z-BUF procedure. Conclusion Z-BUF with dialysate appears to be analternative to Z-BUF with sodium chloride with marked lower utilization of intravenous sodium bicarbonate.

scholarly journals Comparison of Plasma-Lyte A and Sodium Chloride 0.9% for Fluid Resuscitation of Patients With Diabetic Ketoacidosis

2018 ◽  
Vol 53 (5) ◽  
pp. 326-330
Author(s):  
Wesley D. Oliver ◽  
George C. Willis ◽  
Michelle C. Hines ◽  
Bryan D. Hayes
Keyword(s):  
Sodium Chloride ◽  
Diabetic Ketoacidosis ◽  
Fluid Resuscitation ◽  
Primary Outcome ◽  
Medical Center ◽  
Academic Medical Center ◽  
Serum Biochemistry ◽  
Chloride Level ◽  
Academic Medical ◽  
Mean Time

Purpose: The aim of this study was to compare Plasma-Lyte A (PL) and sodium chloride 0.9% (NS) in regard to time to resolution of diabetic ketoacidosis (DKA) when one fluid was used predominantly over the other for resuscitation. Methods: We performed a retrospective analysis of the records of patients treated for DKA at a large, academic medical center between July 1, 2013, and July 1, 2015. Patients were placed into the PL or NS group based on the predominant fluid they received during fluid resuscitation. Serum biochemistry variables were categorized as follows: initial, 2 to 4 hours, 4 to 6 hours, 6 to 12 hours, and 12 to 24 hours. The primary outcome was mean time to resolution of DKA. Results: Eighty-four patients were included in the study. The primary outcome of mean time to resolution of DKA was similar between the PL (19.74 hours) and NS (18.05 hours) groups ( P = .5080). Patients treated with PL had a significantly greater rise in pH within the 4- to 6-hour and 6- to 12-hour periods. The chloride level was significantly higher and the anion gap was significantly lower for the NS group in the 6- to 12-hour period. Conclusion: These data suggest that the use of PL for fluid resuscitation in DKA may confer certain advantages over NS.

Gender differences in career progress and satisfaction in an academic medical center

2002 ◽  
Vol 2 (3) ◽  
pp. 95-104 ◽  
Author(s):  
JoAnn Manson ◽  
Beverly Rockhill ◽  
Margery Resnick ◽  
Eleanor Shore ◽  
Carol Nadelson ◽  
...  
Keyword(s):  
Gender Differences ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical ◽  
Career Progress

Mo1760 Assessment of Postoperative Complications in Patients With IBD. A Single Academic Medical Center Experience

2013 ◽  
Vol 144 (5) ◽  
pp. S-1109 ◽  
Author(s):  
Samantha J. Quade ◽  
Joshua Mourot ◽  
Anita Afzali ◽  
Mika N. Sinanan ◽  
Scott D. Lee ◽  
...  
Keyword(s):  
Postoperative Complications ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical

scholarly journals Deferring Routine Wrist Radiography Does Not Affect Management of de Quervain Tendinopathy Patients

2017 ◽  
Vol 07 (02) ◽  
pp. 115-120 ◽  
Author(s):  
Tiffany Liu ◽  
Chia Wu ◽  
David Steinberg ◽  
David Bozentka ◽  
L. Levin ◽  
...  
Keyword(s):  
Physical Examination ◽  
Medical Center ◽  
Academic Medical Center ◽  
Diagnostic Study ◽  
Level Of Evidence ◽  
Radiographic Findings ◽  
Academic Medical ◽  
De Quervain ◽  
Clinical Records ◽  
Surgical Release

Background Obtaining wrist radiographs prior to surgeon evaluation may be wasteful for patients ultimately diagnosed with de Quervain tendinopathy (DQT). Questions/Purpose Our primary question was whether radiographs directly influence treatment of patients presenting with DQT. A secondary question was whether radiographs influence the frequency of injection and surgical release between cohorts with and without radiographs evaluated within the same practice. Patients and Methods Patients diagnosed with DQT by fellowship-trained hand surgeons at an urban academic medical center were identified retrospectively. Basic demographics and radiographic findings were tabulated. Clinical records were studied to determine whether radiographic findings corroborated history or physical examination findings, and whether management was directly influenced by radiographic findings. Frequencies of treatment with injection and surgery were separately tabulated and compared between cohorts with and without radiographs. Results We included 181 patients (189 wrists), with no differences in demographics between the 58% (110 wrists) with and 42% (79 wrists) without radiographs. Fifty (45%) of imaged wrists demonstrated one or more abnormalities; however, even for the 13 (12%) with corroborating history and physical examination findings, wrist radiography did not directly influence a change in management for any patient in this series. No difference was observed in rates of injection or surgical release either upon initial presentation, or at most recent documented follow-up, between those with and without radiographs. No differences in frequency, types, or total number of additional simultaneous surgical procedures were observed for those treated surgically. Conclusion Wrist radiography does not influence management of patients presenting DQT. Level of Evidence This is a level III, diagnostic study.

scholarly journals Clinical Team Distribution and Antibiotic Use Patterns at a Tertiary-Care Academic Medical Center

2020 ◽  
Vol 41 (S1) ◽  
pp. s168-s169
Author(s):  
Rebecca Choudhury ◽  
Ronald Beaulieu ◽  
Thomas Talbot ◽  
George Nelson
Keyword(s):  
Medical Center ◽  
Academic Medical Center ◽  
Tertiary Care ◽  
Antibiotic Use ◽  
Care Hospital ◽  
Hospital Units ◽  
Antibiotic Utilization ◽  
Academic Medical ◽  
Level Data ◽  
Utilization Data

Background: As more US hospitals report antibiotic utilization to the CDC, standardized antimicrobial administration ratios (SAARs) derived from patient care unit-based antibiotic utilization data will increasingly be used to guide local antibiotic stewardship interventions. Location-based antibiotic utilization surveillance data are often utilized given the relative ease of ascertainment. However, aggregating antibiotic use data on a unit basis may have variable effects depending on the number of clinical teams providing care. In this study, we examined antibiotic utilization from units at a tertiary-care hospital to illustrate the potential challenges of using unit-based antibiotic utilization to change individual prescribing. Methods: We used inpatient pharmacy antibiotic use administration records at an adult tertiary-care academic medical center over a 6-month period from January 2019 through June 2019 to describe the geographic footprints and AU of medical, surgical, and critical care teams. All teams accounting for at least 1 patient day present on each unit during the study period were included in the analysis, as were all teams prescribing at least 1 antibiotic day of therapy (DOT). Results: The study population consisted of 24 units: 6 ICUs (25%) and 18 non-ICUs (75%). Over the study period, the average numbers of teams caring for patients in ICU and non-ICU wards were 10.2 (range, 3.2–16.9) and 13.7 (range, 10.4–18.9), respectively. Units were divided into 3 categories by the number of teams, accounting for ≥70% of total patient days present (Fig. 1): “homogenous” (≤3), “pauciteam” (4–7 teams), and “heterogeneous” (>7 teams). In total, 12 (50%) units were “pauciteam”; 7 (29%) were “homogeneous”; and 5 (21%) were “heterogeneous.” Units could also be classified as “homogenous,” “pauciteam,” or “heterogeneous” based on team-level antibiotic utilization or DOT for specific antibiotics. Different patterns emerged based on antibiotic restriction status. Classifying units based on vancomycin DOT (unrestricted) exhibited fewer “heterogeneous” units, whereas using meropenem DOT (restricted) revealed no “heterogeneous” units. Furthermore, the average number of units where individual clinical teams prescribed an antibiotic varied widely (range, 1.4–12.3 units per team). Conclusions: Unit-based antibiotic utilization data may encounter limitations in affecting prescriber behavior, particularly on units where a large number of clinical teams contribute to antibiotic utilization. Additionally, some services prescribing antibiotics across many hospital units may be minimally influenced by unit-level data. Team-based antibiotic utilization may allow for a more targeted metric to drive individual team prescribing.Funding: NoneDisclosures: None

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