Chesdachai, Supavit

Abstract Background Gram-negative bacteremia (GNB) as a manifestation of cardiovascular implantable electronic device (CIED) infection is uncommon. Moreover, echocardiography may be nonspecific in its ability to differentiate whether CIED lead masses are infected. We aimed to determine the rate of CIED infection in the setting of GNB. Methods All patients with CIED who were hospitalized with GNB during 2012–2019 at Mayo Clinic were investigated. The definition of CIED infection was based on criteria recommended by the 2019 European Heart Rhythm Association document. Results A total of 126 patients with CIED developed GNB. None of them had signs of pocket infection. Twenty (15.9%) patients underwent transesophageal echocardiography. Overall, 4 (3%) patients had definite CIED infection. None of them underwent CIED extraction; 3 died within 12 weeks and 1 received long-term antibiotic suppression. Ten (8%) patients had possible CIED infection; despite no CIED extraction, no patient had relapsing GNB. We observed a higher rate of CIED infection in patients with Serratia marcescens bacteremia as compared to that in patients with other GNB. Conclusions The rate of CIED infection following GNB was relatively low. However, accurate classification of CIED infection among patients presenting with GNB remains challenging, in part, due to a case definition of CIED infection that is characterized by a low pretest probability in the setting of GNB. Prospective, multicenter studies are needed to determine accurate identification of CIED infection among GNB, so that only patients with true infection undergo device removal.

AbstractBackgroundThere is insufficient evidence regarding postoperative systemic antibiotic prophylaxis use for more than 24 h following cardiovascular implantable electronic devices (CIED) implantation and its impact on infection prevention. However, this strategy remains a common practice in many institutions.MethodsWe conducted a systematic review and meta‐analysis including studies that compared the outcomes of patients: (1) who received preoperative plus 24 h or more of postoperative antibiotic prophylaxis (intervention group); and (2) who received either preoperative only or preoperative plus less than 24 h of antibiotic prophylaxis (control group). Risk of bias was assessed with ROBINS‐I and ROB‐2 tools. Risk ratio (RR) was pooled using random‐effect meta‐analyses with inverse variance method.ResultsEight studies that included two randomized controlled trials (RCTs) and six cohort studies with a total of 26,187 patients were included in the analysis. Overall, there were no differences in outcomes between the two groups, which included rates of CIED infection (RR 0.77, 95% CI 0.42, 1.42), mortality (RR 1.19, 95% CI 0.69, 2.06), pocket hematoma (RR 1.15, 95% CI 0.44, 3.00) or reintervention (RR 0.87, 95% CI 0.22, 3.46). Of note, the results were primarily impacted by the larger RCT.ConclusionsThere was no benefit of postoperative antibiotic prophylaxis for more than 24 h following CIED implantation in the current systematic review and meta‐analysis. This supports the practice advocated by current guidelines which foster antibiotic stewardship and may result in reductions of adverse drug events, selection for antibiotic resistance, and financial costs of prolonged postoperative antibiotic prophylaxis.

AbstractGraft‐versus‐hostdisease (GVHD) following liver transplantation (LT) is rare but can lead tosignificant mortality. The leading cause of death following GVHD diagnosis isinfectious complications. However, there is a lack of clear descriptions concerning infection and antimicrobial management patterns. Our study aims toprovide the focused details of all infectious complications of acute GVHDfollowing LT. We retrospectively reviewed all adult LT recipients with acute GVHD at Mayo Clinic's Transplant Centers from January 1, 2010, to December 31, 2021. Detailed characteristics of infection in each case were described. Among 4,585 LTs performed during this period, 12 (0.3%) patients developed acuteGVHD. The median time from transplantation to GVHD diagnosis was 49.0 days [IQR 31.5–99.0]. Ten (83.3%) patients developed severe infections leading tomortality. The most common cause of infection was nosocomial bacteremia fromenteric bacteria such as vancomycin‐resistant enterococci and gram‐negative bacilli. Other infections included breakthrough invasive fungal infections,cytomegalovirus (CMV) reactivation, and Clostridioides difficile colitis. Antimicrobial prophylaxis strategies in most cases were based on the degree of neutropenia—these include levofloxacin for bacterial prophylaxis, nebulized pentamidine for Pneumocystis jiroveci pneumonia prophylaxis, posaconazole for invasive fungal prophylaxis, and valganciclovir based on CMVstatus. All GVHD patients with severe infections succumbed to thesecomplications. Ourstudy reiterates that despite prophylaxis, infectious complications in GVHDfollowing LT are common and lead to exceptionally high mortality. Individualizedantimicrobial treatment, prophylaxis and monitoring strategies remain a criticalcomponent of GVHD management. Further study to optimize these practices isrequired. image

Abstract Background Increasing use of deep brain stimulation (DBS) over the past 20 years is paralleled by a rise in DBS infections. There is a paucity of data on the diagnosis, management, and outcomes in such infections. We describe our center’s experience with DBS infections. Methods Adults ( >18 years) diagnosed with DBS associated infection between January 1, 2000 and May 1, 2020 were retrospectively reviewed. Data on patient demographics, clinical presentation, microbiology, and management was collected. Results Seventy cases were identified (table 1). The mean age at diagnosis was 58.9 ± 16.5 years. The bulk were free of comorbidities. Parkinson’s disease and essential tremors were the most common indications for DBS placement. The median time from implantation to infection was 4 months [IQR 1,24]. The neurotransmitter and extension wires were the most frequently infected parts. A microbiological diagnosis was made in 89% of cases, 47% of which were polymicrobial. The most commonly identified organisms were Staphylococcus aureus, Cutibacterium acnes, and coagulase-negative staphylococci. For patients with deep infection, 71% had complete device extraction, 20% partial extraction, and 9% device retention; clinical cure at 3 months occurred in 97%, 64% and 100%, respectively (figure 1). On the other hand, 93% of patients with superficial infection had device retention; cure at 3 months was seen in 64% (figure 2). Suppressive oral antibiotics were rarely used, 45% of patients with partial extraction and 26% with device retention. DBS was reimplanted in 71% of patients after complete extraction and led to reinfection in 30% at 1 year follow up. Median time to reimplantation was 2.7 months. All patients who failed at 3 months in the partial extraction and device retention cohorts subsequently underwent complete device removal leading to clinical cure sustained at 1 year follow up. Conclusion All patients who had complete extraction achieved clinical cure at 3-months follow-up, while high failure rates occurred in those with device retention. Most infections were polymicrobial and predominantly caused by gram-positive pathogens. Thirty percent of patients with re-implantation after complete device extraction developed re-infection within 1 year. Disclosures All Authors: No reported disclosures

Abstract Background Cardiovascular implantable electronic device (CIED) implantation has markedly increased over the past two decades. Staphylococcus aureus bacteremia (SAB) occurs in patients with CIED and determination of device infection among patients without clinical findings of pocket site infection is often difficult. Our study examines the characteristics, management, and outcomes of SAB in patients living with CIED using 2019 international criteria to define CIED infection. Methods We conducted a retrospective study of patients with CIED who were hospitalized at Mayo Clinic, Rochester, with SAB from January 1, 2012 to December 31, 2019. Patients who met CIED infection criteria following SAB based on the 2019 European Heart Rhythm Association International Concensus Document were identified. A time-to-event analysis was used to determine the impact, if any, of complete device extraction on outcomes. Results Overall, 110 patients with CIED developed SAB and 92 (83.6%) of them underwent transesophageal echocardiogram (TEE). Eighty-eight (80%) had CIED infection with 57 (51.8%) and 31 (28.2%) patients meeeting criteria for definite and possible CIED infections, respectively. Forty-three (75.4%) patients with definite CIED infection underwent complete device extraction. For possible and rejected CIED infection, the rates of complete device extraction were 35.5% and 27.3%, respectively (p< .001 for each). The primary endpoint of a composite of one-year mortality and SAB relapse had a rate that was significantly lower in patients with CIED infection who underwent complete device extraction as compared to that of patients who did not undergo device extraction (25.9% vs. 76.5%, p< .001). No significant difference in outcomes was seen in the rejected CIED infection group (33.3% vs. 62.5%, p =.27). Conclusion The rate of CIED infections following SAB was higher than that reported previously. Increased use of TEE and a novel case definition with broader diagnostic criteria were likely operative, in part, in accounting for the the higher rate of CIED infections complicating SAB. Complete device removal is critical in patients with either definite or possible CIED infection as defined by the 2019 consensus document to improve one-year mortality and SAB relapse rates. Disclosures Larry M. Baddour, MD, Boston Scientific (Individual(s) Involved: Self): Consultant; Botanix Pharmaceuticals (Individual(s) Involved: Self): Consultant; Roivant Sciences (Individual(s) Involved: Self): Consultant Muhammad R. Sohail, MD, Medtronic (Consultant)Philips (Consultant)

Background: Lactic acidosis is a heterogeneous condition with multiple underlying causes and associated outcomes. The use of multi-dimensional patient data to subtype lactic acidosis can personalize patient care. Machine learning consensus clustering may identify lactic acidosis subgroups with unique clinical profiles and outcomes. Methods: We used the Medical Information Mart for Intensive Care III database to abstract electronic medical record data from patients admitted to intensive care units (ICU) in a tertiary care hospital in the United States. We included patients who developed lactic acidosis (defined as serum lactate ≥ 4 mmol/L) within 48 h of ICU admission. We performed consensus clustering analysis based on patient characteristics, comorbidities, vital signs, organ supports, and laboratory data to identify clinically distinct lactic acidosis subgroups. We calculated standardized mean differences to show key subgroup features. We compared outcomes among subgroups. Results: We identified 1919 patients with lactic acidosis. The algorithm revealed three best unique lactic acidosis subgroups based on patient variables. Cluster 1 (n = 554) was characterized by old age, elective admission to cardiac surgery ICU, vasopressor use, mechanical ventilation use, and higher pH and serum bicarbonate. Cluster 2 (n = 815) was characterized by young age, admission to trauma/surgical ICU with higher blood pressure, lower comorbidity burden, lower severity index, and less vasopressor use. Cluster 3 (n = 550) was characterized by admission to medical ICU, history of liver disease and coagulopathy, acute kidney injury, lower blood pressure, higher comorbidity burden, higher severity index, higher serum lactate, and lower pH and serum bicarbonate. Cluster 3 had the worst outcomes, while cluster 1 had the most favorable outcomes in terms of persistent lactic acidosis and mortality. Conclusions: Consensus clustering analysis synthesized the pattern of clinical and laboratory data to reveal clinically distinct lactic acidosis subgroups with different outcomes.

Background: Lactic acidosis is the most common cause of anion gap metabolic acidosis in the intensive care unit (ICU), associated with poor outcomes including mortality. We sought to compare machine learning (ML) approaches versus logistic regression analysis for prediction of mortality in lactic acidosis patients admitted to the ICU. Methods: We used the Medical Information Mart for Intensive Care (MIMIC-III) database to identify ICU adult patients with lactic acidosis (serum lactate ≥4 mmol/L). The outcome of interest was hospital mortality. We developed prediction models using four ML approaches consisting of random forest (RF), decision tree (DT), extreme gradient boosting (XGBoost), artificial neural network (ANN), and statistical modeling with forward stepwise logistic regression using the testing dataset. We then assessed model performance using area under the receiver operating characteristic curve (AUROC), accuracy, precision, error rate, Matthews correlation coefficient (MCC), F1 score, and assessed model calibration using the Brier score, in the independent testing dataset. Results: Of 1919 lactic acidosis ICU patients, 1535 and 384 were included in the training and testing dataset, respectively. Hospital mortality was 30%. RF had the highest AUROC at 0.83, followed by logistic regression 0.81, XGBoost 0.81, ANN 0.79, and DT 0.71. In addition, RF also had the highest accuracy (0.79), MCC (0.45), F1 score (0.56), and lowest error rate (21.4%). The RF model was the most well-calibrated. The Brier score for RF, DT, XGBoost, ANN, and multivariable logistic regression was 0.15, 0.19, 0.18, 0.19, and 0.16, respectively. The RF model outperformed multivariable logistic regression model, SOFA score (AUROC 0.74), SAP II score (AUROC 0.77), and Charlson score (AUROC 0.69). Conclusion: The ML prediction model using RF algorithm provided the highest predictive performance for hospital mortality among ICU patient with lactic acidosis.

Abstract Background Statins up-regulate angiotensin-converting enzyme 2, the receptor of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), while also exhibiting pleiotropic antiviral, antithrombotic, and anti-inflammatory properties. Uncertainties exist about their effect on the course of SARS-CoV-2 infection. We sought to systematically review the literature and perform a meta-analysis to examine the association between prior statin use and outcomes of patients with coronavirus disease 2019 (COVID-19). Methods We searched Ovid Medline, Web of Science, Scopus, and the preprint server medRxiv from inception to December 2020. We assessed the quality of eligible studies with the Newcastle-Ottawa quality scale. We pooled adjusted relative risk (aRRs) of the association between prior statin use and outcomes of patients with COVID-19 using the DerSimonian-Laird random-effects model and assessed heterogeneity using the I2 index. Results Overall, 19 (16 cohorts and 3 case-control) studies were eligible, with a total of 395 513 patients. Sixteen of 19 studies had low or moderate risk of bias. Among 109 080 patients enrolled in 13 separate studies, prior statin use was associated with a lower risk of mortality (pooled aRR, 0.65 [95% confidence interval {CI}, .56–.77], I2 = 84.1%) and a reduced risk of severe COVID-19 was also observed in 48 110 patients enrolled in 9 studies (pooled aRR, 0.73 [95% CI, .57–.94], I2 = 82.8%), with no evidence of publication bias. Conclusions Cumulative evidence suggests that prior statin use is associated with lower risks of mortality or severe disease in patients with COVID-19. These data support the continued use of statins medications in patients with an indication for lipid-lowering therapy during the COVID-19 pandemic.

AbstractDisseminated blastomycosis in solid organ transplant is uncommon. The diagnosis is usually challenging due to vague clinical presentations, which could lead to a devastating outcome. We reported a unique case of disseminated blastomycosis with laryngeal involvement in a kidney transplant recipient who presented with hoarseness. The diagnosis was made by histopathology and culture of laryngeal mass.