Background: Antibiotic therapy with a macrolide and β-lactam or a fluoroquinolone for the empirical treatment of community-acquired pneumonia (CAP) in an inpatient non–intensive care setting is recommended per guidelines. Studies show that these treatments have similar outcomes, including death, adverse effects, and bacterial eradication. However, a comparison of 30-day readmission rates between these treatments is limited. Study Question: To determine whether 30-day readmissions for patients treated for CAP in a regional hospital differed between a fluoroquinolone monotherapy and a β-lactam plus macrolide combination therapy. Study Design: Retrospective cohort study of patients aged ≥18 years with a CAP diagnosis who were admitted to the same regional hospital from December 1, 2011, through December 1, 2016. Measures and Outcomes: Patients receiving a third-generation cephalosporin plus macrolide were compared with those receiving a respiratory fluoroquinolone. Exclusion criteria were concurrent or recent use of the study antibiotics; death, transfer, or transition to hospice; and diagnosis of hospital-acquired pneumonia or health care–associated pneumonia. The collected data were 30-day readmission rates, antibiotic regimens, demographic characteristics, and pneumonia severity index and comorbidity scores. Association between treatment group and readmissions was assessed with logistic regression. Association between readmissions and individual data points between the 2 treatment groups was calculated with multivariate regression and odds ratio (95% confidence interval). Results: Of 432 patients, 171 met inclusion criteria (fluoroquinolone group, n = 101; β-lactam plus macrolide group, n = 70). Thirty-day readmissions were not significantly different between the fluoroquinolone group and β-lactam plus macrolide group (P = 0.58). Increased 30-day readmissions were independently associated with male sex and hospital length of stay (P < 0.05). Length of stay was approximately 3 days and did not differ between treatment groups. Conclusions: No difference was seen in 30-day readmissions between CAP patients who received fluoroquinolone monotherapy and those who received β-lactam plus macrolide combination therapy.
Differing Impact of Sarcopenia and Frailty in Nonalcoholic Steatohepatitis and Alcoholic Liver Disease
Sarcopenia and frailty are commonly encountered in patients with end‐stage liver disease and are associated with adverse clinical outcomes, including decompensation and wait‐list mortality. The impact of these entities in patients with differing disease etiologies has not been elucidated. We aim to ascertain the change in their prevalence over time on the wait list and determine their impact on hospitalization, delisting, and wait‐list survival, specifically for patients with nonalcoholic steatohepatitis (NASH) and alcoholic liver disease (ALD). Adult patients who were evaluated for their first liver transplant from 2014 to 2016 with a primary diagnosis of NASH (n = 136) or ALD (n = 129) were included. Computed tomography scans were used to determine the presence of sarcopenia and myosteatosis. Frailty was diagnosed using the Rockwood frailty index. Patients with NASH had a significantly lower prevalence of sarcopenia (22% versus 47%; P < 0.001) but a significantly higher prevalence of frailty (49% versus 34%; P = 0.03) when compared with patients with ALD at the time of listing. In patients with NASH, sarcopenia was not associated with adverse events, but a higher frailty score was associated with an increased length of hospitalization (P = 0.05) and an increased risk of delisting (P = 0.02). In patients with ALD, univariate analysis showed the presence of sarcopenia was associated with an increased risk of delisting (P = 0.01). In conclusion, sarcopenia and frailty occur with differing prevalence with variable impact on outcomes in wait‐listed patients with NASH and ALD.
Impact of Serum Cystatin C–Based Glomerular Filtration Rate Estimates on Drug Dose Selection in Hospitalized Patients
Study Objective Serum creatinine ( S c r ) concentration is used to calculate estimated glomerular filtration rate (e GFR ) for medication dosing. Serum cystatin C (CysC) concentration has been proposed as an adjunct or alternative to S cr . This study sought to evaluate the possible impact of using CysC in eGFR equations on drug dose recommendations in hospitalized patients with infections. Design Retrospective analysis of prospectively collected data. Setting Large academic tertiary care medical center. Patients A total of 308 adults with suspected or documented infections and stable kidney function who were hospitalized between 2012 and 2015. Measurements and Main Results Standardized S c r and CysC measured at the time of antibiotic dosing were used to estimate GFR from the three Chronic Kidney Disease Epidemiology Collaborative ( CKD ‐ EPI ) equations using S c r (eGFR Cr ), CysC( eGFR CysC ), or a combination of S c r and CysC (eGFR Cr‐CysC ), and these values were compared with estimated creatinine clearance (eCl cr ) from the Cockcroft‐Gault equation (standard of care for drug dosage adjustments). The eGFR s were categorized into five common dosage adjustment strata (lower than 20, 20–49, 50–79, 80–130, and higher than 130 ml/min), and agreement between equations was tested with the weighted κ statistic. Recommended drug doses varied considerably between the eC l cr and the CKD ‐ EPI equations (weighted κ [95% confidence interval]: eGFR Cr 0.73 [0.68–0.79], eGFR CysC 0.42 [0.35–0.5], eGFR Cr‐CysC 0.65 [0.6–0.71]). If eGFR Cr, eGFR CysC , or eGFR Cr‐CysC were used instead of eC l cr to dose drugs, 11%, 12%, and 8% of doses, respectively, would be higher, and 12%, 38%, and 24% of doses, respectively, would be lower. Conclusion Significant discordance in drug doses was observed when the CKD ‐ EPI equations were used in place of eCl cr . When CysC was included in eGFR equations, recommended doses were often lower. Further study is needed to develop and test drug‐specific dosing guidelines that incorporate alternate renal biomarkers and/or more contemporary eGFR equations.
Baseline Thromboelastogram as a Predictor of Left Ventricular Assist Device Thrombosis
Left ventricular assist device (LVAD) pump thrombosis occurs in up to 8.4% of patients within 3-months postimplantation. Thromboelastography (TEG) could be used to signal hypercoagulability at LVAD implantation to predict patients at high risk for thrombosis. We sought to evaluate whether TEG maximum amplitude (MA) hypercoagulability (MA ≥69 mm) at the time of LVAD implantation predicts pump thrombosis. A single center, retrospective, nested case–control study was conducted using patients from January 1, 2005, to March 31, 2015. Each pump thrombosis case was matched to two control subjects based on age ± 5 years, sex, and duration of follow-up. A multivariable logistic regression analysis was performed on the matched sets; the odds ratio with 95% confidence interval (CI) was calculated to estimate the relative risk. Thirty-seven age- and sex-matched case–control sets were included for a total of 111 study participants. TEG-MA hypercoagulability occurred in 10.8% of the case group versus 6.8% of controls. There was no association between TEG-MA hypercoagulability and device thrombosis (odds ratio 1.71, 95% confidence interval 0.42–7.05, p = 0.46). Utilization of baseline TEG-MA hypercoagulability to detect individuals at risk for LVAD thrombosis is a novel concept. This study found no significant association between TEG-MA and LVAD thrombosis.
Comparison of Bioavailability of Single‐Dose Extended‐Release Venlafaxine Capsules in Obese Patients Before and After Gastric Bypass Surgery
Study Objective The extended‐release ( ER ) form of venlafaxine is preferred because of improved patient adherence, but the immediate‐release (IR) form is frequently used after Roux‐en‐Y gastric bypass ( RYGB ) surgery because of concerns for malabsorption. The objective of this study was to determine whether a statistically significant and predictable change in the bioavailability of venlafaxine ER capsules occurs after RYGB . Design Prospective nonblinded single‐dose pharmacokinetic study. Setting Clinical research unit at a large tertiary care medical practice. Patients Ten adult pre–bariatric surgery patients who met the criteria for noncomplicated RYGB were enrolled and served as their own controls. Interventions Patients were administered one venlafaxine ER 75‐mg capsule at two visits—the first visit at least 1 week before undergoing RYGB and the second visit 3–4 months after RYGB . Blood samples were collected at predetermined intervals over 48 hours after each dose, and the pharmacokinetics of venlafaxine were measured. Measurements and Main Results Plasma levels of venlafaxine and its primary metabolite, O ‐desmethylvenlafaxine ( ODV ), were compared at baseline and 3–4 months after RYGB . The areas under the serum concentration–time curves from 0–24 hours ( AUC 0–24 ) for venlafaxine (mean ± SD 734 ± 602 vs 630 ± 553 ng·hr/ml, p=0.22) and ODV (mean ± SD 894 ± 899 vs 1083 ± 972 ng·hr/ml, p=0.07) were similar before and after RYGB . Using a bioequivalence approach, differences in pre‐ RYGB and post‐ RYGB values of AUC 0–24 , peak serum concentration, and time to peak serum concentration were not statistically significant for either venlafaxine or ODV. Conclusion This study suggests that RYGB does not significantly alter the amount of venlafaxine or its active metabolite, ODV , absorbed from a venlafaxine ER capsule or the time over which it is absorbed.
Safety and feasibility of lower antithrombin replacement targets in adult patients with hematological malignancies receiving asparaginase therapy
Background. Obesity is a significant issue in the critically ill population. There is little evidence directing the dosing of venous thromboembolism (VTE) prophylaxis within this population. We aimed to determine whether obesity predisposes medical intensive care unit patients to venous thromboembolism despite standard chemoprophylaxis with 5000 international units of subcutaneous heparin three times daily.Results. We found a 60% increased risk of venous thromboembolism in the body mass index (BMI) ≥ 30 kg/m2group compared to the BMI < 30 kg/m2group; however, this difference did not reach statistical significance. After further utilizing our risk model, neither obesity nor mechanical ventilation reached statistical significance; however, vasopressor administration was associated with a threefold risk.Conclusions. We can conclude that obesity did increase the rate of VTE, but not to a statistically significant level in this single center medical intensive care unit population.
Low incidence of pneumocystis pneumonia utilizing PCR‐based diagnosis in patients with B‐cell lymphoma receiving rituximab‐containing combination chemotherapy
Background: Carbohydrate counting may improve glycemic control in hospitalized cardiology patients by providing individualized insulin doses tailored to meal consumption. The purpose of this study was to compare glycemic outcomes with mealtime insulin dosed by carbohydrate counting versus fixed dosing in the inpatient setting. Materials and Methods: This single-center retrospective cohort study included 225 adult medical cardiology patients who received mealtime, basal, and correction-scale insulin concurrently for at least 72 h and up to 7 days in the interval March 1, 2010–November 7, 2013. Mealtime insulin was dosed by carbohydrate counting or with fixed doses determined prior to meal intake. An inpatient diabetes consult service was responsible for insulin management. Exclusion criteria included receipt of an insulin infusion. The primary end point compared mean daily postprandial glucose values, whereas secondary end points included comparison of preprandial glucose values and mean daily rates of hypoglycemia. Results: Mean postprandial glucose level on Day 7 was 204 and 183 mg/dL in the carbohydrate counting and fixed mealtime dose groups, respectively (unadjusted P =0.04, adjusted P =0.12). There were no statistical differences between groups on Days 2–6. Greater rates of preprandial hypoglycemia were observed in the carbohydrate counting cohort on Day 5 (8.6% vs. 1.5%, P =0.02), Day 6 (1.7% vs. 0%, P =0.01), and Day 7 (7.1% vs. 0%, P =0.008). No differences in postprandial hypoglycemia were seen. Conclusions: Mealtime insulin dosing by carbohydrate counting was associated with similar glycemic outcomes as fixed mealtime insulin dosing, except for a greater incidence of preprandial hypoglycemia. Additional comparative studies that include hospital outcomes are needed.