Glycemic Patterns are Distinct in Individuals with Post-Bariatric Hypoglycemia after Gastric Bypass (PBH-RYGB)

Author(s):  
Daniel Lee ◽  
Jonathan M Dreyfuss ◽  
Amanda Sheehan ◽  
Alexa Puleio ◽  
Christopher M Mulla ◽  
...  

Abstract Context Severe hypoglycemia with neuroglycopenia, termed post-bariatric hypoglycemia (PBH). typically occurs postprandially, but is also reported post-activity or mid-nocturnally. Objective To quantify glycemia, glycemic variability (GV), and magnitude/duration of low sensor glucose (SG) values in patients with PBH after Roux-en-Y gastric bypass (PBH-RYGB). Design Retrospective analysis Setting Academic medical center Participants Individuals with PBH-RYGB (n=40), reactive hypoglycemia without GI surgery (Non-Surg Hypo, n=20), pre-diabetes (Pre-DM, n=14), newly-diagnosed T2D (n=5), and healthy controls (HC, n=38). Interventions Masked CGM (Dexcom G4) was used to assess patterns over 24 hours, daytime (6 AM-midnight) and nighttime (midnight-6 AM). Outcome measures: Prespecified measures included mean and median SG, variability, and percent time at thresholds of sensor glucose. Results Mean and median SG were similar for PBH-RYGB and HC (mean: 99.8±18.6 vs. 96.9±10.2 mg/dL; median: 93.0±14.8 vs. 94.5±7.4 mg/dL). PBH-RYGB had a higher coefficient of variation (27.3±6.8 vs. 17.9±2.4%, p<0.0001) and range (154.5±50.4 vs. 112.0±26.7 mg/dL, p<0.0001). Nadir was lowest in PBH-RYGB (42.5±3.7 vs. HC 49.0±11.9 mg/dL, p=0.0046), with >2-fold greater time with SG<70 mg/dL vs. HC (7.7±8.4 vs. 3.2±4.1%, p=0.0013); these differences were greater at night (12.6±16.9 vs. 1.0±1.5%, p<0.0001). Non-Surg Hypo also had 4-fold greater time with SG<70 at night vs. HC (SG <70: 4.0 ± 5.9% vs 1.0 ± 1.5%), but glycemic variability was not increased. Conclusions Patients with PBH-RYGB experience higher glycemic variability and frequency of SG<70 compared to HC, especially at night. These data suggest that additional pathophysiologic mechanisms beyond prandial changes contribute to PBH.

2019 ◽  
Vol 55 (4) ◽  
pp. 240-245
Author(s):  
Allison Zuern ◽  
Luke A. Probst ◽  
William Darko ◽  
Peter Rosher ◽  
Christopher D. Miller ◽  
...  

Purpose: Regular insulin is a commonly utilized treatment option for acute hyperkalemia. Despite its benefit, hypoglycemia and associated morbidity/mortality remain important concerns. This institution recently created a treatment panel to standardize regular insulin dosing (0.1 unit/kg) and blood glucose (BG) monitoring in patients with acute hyperkalemia. The purpose of this study is to investigate whether the order panel reduces hypoglycemic events in adults treated with intravenous (IV) regular insulin for hyperkalemia and to determine the effect the treatment panel has on regular insulin dosing, serum potassium, BG monitoring, and dextrose supplementation. Methods: This retrospective study was performed at a single academic medical center. Adults receiving IV regular insulin for acute hyperkalemia were included if BG was assessed prior to and following regular insulin administration. Primary outcome was hypoglycemia within 4 hours of regular insulin administration. Secondary outcomes were the change from baseline serum potassium, frequency of severe hypoglycemia, BG checks within 30 minutes prior to and within 4 hours following insulin administration, regular insulin dosing, and administration of dextrose 50% in water (D50W) following regular insulin administration. Hypoglycemia and severe hypoglycemia were defined as a BG concentration of <70 mg/dL and <50 mg/dL, respectively. Results: One hundred sixty-five patients were included; 75 using the treatment panel and 90 not. Patients using the treatment panel received a lower median (interquartile range [IQR]) regular insulin dose (.10 [0.09-0.10 unit/kg] vs 0.11 [0.09-0.14 unit/kg], P = .004) and had more frequent BG checks during the 4 hours following regular insulin administration (median [IQR]: 4 [3-5] vs 2 [1-3], P < .001). Hypoglycemia (13.3% vs 27.8%, P = .024) and severe hypoglycemia (2.7% vs 11.1%, P = .038) occurred less frequently with the treatment panel. Similar decreases in serum potassium were noted following IV regular insulin administration. Conclusions: Acute hyperkalemic patients utilizing a standardized treatment panel for the dosing and monitoring of IV regular insulin experienced fewer hypoglycemic and severe hypoglycemic episodes and had similar potassium lower effects. The treatment panel decreased regular insulin dosing and increased BG monitoring prior to and following regular insulin administration.


2002 ◽  
Vol 2 (3) ◽  
pp. 95-104 ◽  
Author(s):  
JoAnn Manson ◽  
Beverly Rockhill ◽  
Margery Resnick ◽  
Eleanor Shore ◽  
Carol Nadelson ◽  
...  

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

2017 ◽  
Vol 07 (02) ◽  
pp. 115-120 ◽  
Author(s):  
Tiffany Liu ◽  
Chia Wu ◽  
David Steinberg ◽  
David Bozentka ◽  
L. Levin ◽  
...  

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.


2020 ◽  
Vol 41 (S1) ◽  
pp. s168-s169
Author(s):  
Rebecca Choudhury ◽  
Ronald Beaulieu ◽  
Thomas Talbot ◽  
George Nelson

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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