Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records.

Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and mortality in hospitals. Rapid, accurate risk stratification of MRSA is crucial for optimizing antibiotic therapy. Our study introduced a deep learning model, PyTorch_EHR, which leverages electronic health record (EHR) time-series data, including wide-variety patient specific data, to predict MRSA culture positivity within two weeks. 8,164 MRSA and 22,393 non-MRSA patient events from Memorial Hermann Hospital System, Houston, Texas are used for model development. PyTorch_EHR outperforms logistic regression (LR) and light gradient boost machine (LGBM) models in accuracy (AUROCPyTorch_EHR = 0.911, AUROCLR = 0.857, AUROCLGBM = 0.892). External validation with 393,713 patient events from the Medical Information Mart for Intensive Care (MIMIC)-IV dataset in Boston confirms its superior accuracy (AUROCPyTorch_EHR = 0.859, AUROCLR = 0.816, AUROCLGBM = 0.838). Our model effectively stratifies patients into high-, medium-, and low-risk categories, potentially optimizing antimicrobial therapy and reducing unnecessary MRSA-specific antimicrobials. This highlights the advantage of deep learning models in predicting MRSA positive cultures, surpassing traditional machine learning models and supporting clinicians' judgments.

Single-center Outcomes After Liver Transplantation With SARS-CoV-2-Positive Donors: An Argument for Increased Utilization.

Background: The COVID-19 pandemic has led to an increase in SARS-CoV-2-test positive potential organ donors. The benefits of life-saving liver transplantation (LT) must be balanced against the potential risk of donor-derived viral transmission. Although emerging evidence suggests that the use of COVID-19-positive donor organs may be safe, granular series thoroughly evaluating safety are still needed. Results of 29 consecutive LTs from COVID-19-positive donors at a single center are presented here. Methods: A retrospective cohort study of LT recipients between April 2020 and December 2022 was conducted. Differences between recipients of COVID-19-positive (n = 29 total; 25 index, 4 redo) and COVID-19-negative (n = 472 total; 454 index, 18 redo) deceased donor liver grafts were compared. Results: COVID-19-positive donors were significantly younger (P = 0.04) and had lower kidney donor profile indices (P = 0.04) than COVID-19-negative donors. Recipients of COVID-19-positive donor grafts were older (P = 0.04) but otherwise similar to recipients of negative donors. Donor SARS-CoV-2 infection status was not associated with a overall survival of recipients (hazard ratio, 1.11; 95% confidence interval, 0.24-5.04; P = 0.89). There were 3 deaths among recipients of liver grafts from COVID-19-positive donors. No death seemed virally mediated because there was no qualitative association with peri-LT antispike antibody titers, post-LT prophylaxis, or SARS-CoV-2 variants. Conclusions: The utilization of liver grafts from COVID-19-positive donors was not associated with a decreased overall survival of recipients. There was no suggestion of viral transmission from donor to recipient. The results from this large single-center study suggest that COVID-19-positive donors may be used safely to expand the deceased donor pool.

COVID-19 Vaccine Seroresponse Based on The Timing of The Primary Series; Pre- versus Post-Renal Transplantation.

BACKGROUND: Coronavirus disease 2019 (COVID-19) poses a serious risk to patients with chronic kidney disease (CKD) and renal transplant. While COVID-19 vaccination is recommended before transplant, there are limited data comparing vaccine timing. Our aim is to evaluate serological responses to COVID-19 vaccines pre- and post-renal transplant and the durability of antibody levels. METHODS: We retrospectively evaluated the antibody response of adult renal transplant recipients who had received at least a primary series of the COVID-19 vaccine. The patients were divided into two groups based on the timing; pre- or post-transplant. Antibody titer levels were evaluated at least 4 weeks after vaccination for each group. Titer durability was assessed by calculating the median titer level of individuals. RESULTS: A total of 139 patients were identified between January 2019 and April 2022. Twenty-nine patients were excluded because of previous COVID-19 infection, and 15 patients were excluded each for insufficient vaccine doses and lack of titer data. Forty patients were included for the pre-transplant group and 40 for post-transplant. The number of pre-transplant patients who developed antibodies (39 patients, 97.5%) was significantly greater than the number of post-transplant patients (21 patients, 52.5%) with p < .01. The median post-vaccination titer levels were significantly greater in the pre-transplant group up to 5 months after vaccination (p < .05). The pre-transplant group's titers seemed sustained even after renal transplantation. CONCLUSION: Vaccinating renal transplant patients before transplant results in increased achievement of seroresponse, higher levels of antibody titers, and sustained titers following transplant. Larger and prospective studies are warranted to confirm the findings.

Seroprevalence of Measles, Mumps, Rubella, and Varicella-Zoster Virus and Seroresponse to the Vaccinations in Adult Solid Organ Transplant Candidates.

BACKGROUND: Updating live vaccines such as measles, mumps, rubella, and varicella (MMRV) is an important step in preparing patients for solid organ transplant (SOT) to prevent morbidity from these preventable diseases. However, data for this approach are scarce. Thus, we aimed to describe the seroprevalence of MMRV and the efficacy of the vaccines in our transplant center. METHODS: Pre-SOT candidates >18 y of age were retrospectively retrieved from SOT database in Memorial Hermann Hospital Texas Medical Center. MMRV serologies are routinely screened at the time of pretransplant evaluation. We divided patients into 2 groups: MMRV-positive group versus MMRV-negative group, patients with positive all MMRV serologies and with negative immunity to at least 1 dose of MMRV, respectively. RESULTS: A total of 1213 patients were identified. Three hundred ninety-four patients (32.4%) did not have immunity to at least 1 dose of MMRV. Multivariate analysis was conducted. Older age (odds ratio [OR]: 1.04) and liver transplant candidates (OR: 1.71) were associated with seropositivity. Previous history of SOT (OR: 0.54) and pancreas/kidney transplant candidates (OR: 0.24) were associated with seronegativity. Among 394 MMRV seronegative patients, 60 patients received 1 dose of MMR vaccine and 14 patients received 1 dose of varicella-zoster virus vaccine without severe adverse events. A total of 35% (13/37) of patients who had follow-up serologies did not have a serological response. CONCLUSIONS: A significant number of pre-SOT candidates were not immune to at least 1 dose of MMRV. This highlights the importance of MMRV screening and vaccinations pre-SOT. Postvaccination serological confirmation should be performed to evaluate the necessity for a second dose.

Invasive Mold Infections Following Hurricane Harvey-Houston, Texas.

Background: Characterizing invasive mold infection (IMI) epidemiology in the context of large flooding events is important for public health planning and clinical decision making. Methods: We assessed IMI incidence (per 10 000 healthcare encounters) 1 year before and after Hurricane Harvey at 4 hospitals in Houston, Texas. Potential IMI cases were assigned as proven or probable cases using established definitions, and surveillance cases using a novel definition. We used rate ratios to describe IMI incidence and multivariable logistic regression to examine patient characteristics associated with IMI case status. Results: IMI incidence was significantly higher posthurricane (3.69 cases) than prehurricane (2.50 cases) (rate ratio, 1.48 [95% confidence interval, 1.10-2.00]), largely driven by surveillance IMI cases. Aspergillus was the most common species cultured (33.5% prehurricane and 39.9% posthurricane). About one-quarter (25.8%) of IMI patients lacked classical IMI risk factors such as hematologic malignancy and transplantations. Overall, 45.1% of IMI patients received intensive care, and in-hospital all-cause mortality was 24.2%. Conclusions: IMI incidence likely increased following Hurricane Harvey and outcomes for IMI patients were severe. Patient and clinician education on IMI prevention and identification is warranted, particularly as the frequency of extreme weather events increases due to climate change.

Human Dectin-1 deficiency impairs macrophage-mediated defense against phaeohyphomycosis.

Subcutaneous phaeohyphomycosis typically affects immunocompetent individuals following traumatic inoculation. Severe or disseminated infection can occur in CARD9 deficiency or after transplantation, but the mechanisms protecting against phaeohyphomycosis remain unclear. We evaluated a patient with progressive, refractory Corynespora cassiicola phaeohyphomycosis and found that he carried biallelic deleterious mutations in CLEC7A encoding the CARD9-coupled, ß-glucan-binding receptor, Dectin-1. The patient's PBMCs failed to produce TNF-α and IL-1ß in response to ß-glucan and/or C. cassiicola. To confirm the cellular and molecular requirements for immunity against C. cassiicola, we developed a mouse model of this infection. Mouse macrophages required Dectin-1 and CARD9 for IL-1ß and TNF-α production, which enhanced fungal killing in an interdependent manner. Deficiency of either Dectin-1 or CARD9 was associated with more severe fungal disease, recapitulating the human observation. Because these data implicated impaired Dectin-1 responses in susceptibility to phaeohyphomycosis, we evaluated 17 additional unrelated patients with severe forms of the infection. We found that 12 out of 17 carried deleterious CLEC7A mutations associated with an altered Dectin-1 extracellular C-terminal domain and impaired Dectin-1-dependent cytokine production. Thus, we show that Dectin-1 and CARD9 promote protective TNF-α- and IL-1ß-mediated macrophage defense against C. cassiicola. More broadly, we demonstrate that human Dectin-1 deficiency may contribute to susceptibility to severe phaeohyphomycosis by certain dematiaceous fungi.

Post-Lung Transplantation Outcomes and Ex Vivo Histopathological Findings in Severe Post-Covid-19 Pulmonary Disease-A Single-Center Experience.

Background: A significant proportion of patients with severe and persistent coronavirus disease 2019 (COVID-19) require continuous ventilatory support and occasional extracorporeal membrane oxygenation (ECMO) for acute respiratory distress syndrome (ARDS). Lung transplantation is a treatment option for patients who develop severe ARDS. Methods: Our lung transplant database was retrospectively reviewed for patients who underwent lung transplantation for COVID-19 pulmonary disease at Memorial Hermann Hospital, Texas Medical Center, Houston, Texas, from January 2020 to March 2022. We evaluated outcomes of patients who were followed in our clinic at least 6 months post-transplant. Pretransplant patient characteristics, COVID-19-related treatment, histopathology results, and postdischarge course were evaluated. Results: Among a total of 13 lung transplant recipients, 6 consecutive patients were identified who had a minimum of 6 months of follow-up post-lung transplantation. The average age of patients was 55 years, with a male predominance. The median time to transplantation was 111 days. All 6 patients had significant postinfectious complications due to COVID-19 before transplant. Histopathological findings from explanted lungs showed a predominance of fibrotic change. There were no reported cases of rejection or graft dysfunction. 5 patients had minimal to no post-transplant infectious complications. One patient died 218 days post-transplant from infectious complications. Conclusions: Five out of six lung transplant recipients at our institution have demonstrated excellent long-term outcomes after index hospitalization, for a mean follow-up of 13 months post-lung transplantation. Lung transplantation for lung fibrosis due to COVID-19 is an acceptable salvage treatment option. Larger studies are warranted to confirm these findings.

PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data.

Vancomycin is a commonly used antimicrobial in hospitals, and therapeutic drug monitoring (TDM) is required to optimize its efficacy and avoid toxicities. Bayesian models are currently recommended to predict the antibiotic levels. These models, however, although using carefully designed lab observations, were often developed in limited patient populations. The increasing availability of electronic health record (EHR) data offers an opportunity to develop TDM models for real-world patient populations. Here, we present a deep learning-based pharmacokinetic prediction model for vancomycin (PK-RNN-V E) using a large EHR dataset of 5,483 patients with 55,336 vancomycin administrations. PK-RNN-V E takes the patient's real-time sparse and irregular observations and offers dynamic predictions. Our results show that RNN-PK-V E offers a root mean squared error (RMSE) of 5.39 and outperforms the traditional Bayesian model (VTDM model) with an RMSE of 6.29. We believe that PK-RNN-V E can provide a pharmacokinetic model for vancomycin and other antimicrobials that require TDM.

Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data.

BACKGROUND: Predicting outcomes of patients with COVID-19 at an early stage is crucial for optimised clinical care and resource management, especially during a pandemic. Although multiple machine learning models have been proposed to address this issue, because of their requirements for extensive data preprocessing and feature engineering, they have not been validated or implemented outside of their original study site. Therefore, we aimed to develop accurate and transferrable predictive models of outcomes on hospital admission for patients with COVID-19. METHODS: In this study, we developed recurrent neural network-based models (CovRNN) to predict the outcomes of patients with COVID-19 by use of available electronic health record data on admission to hospital, without the need for specific feature selection or missing data imputation. CovRNN was designed to predict three outcomes: in-hospital mortality, need for mechanical ventilation, and prolonged hospital stay (>7 days). For in-hospital mortality and mechanical ventilation, CovRNN produced time-to-event risk scores (survival prediction; evaluated by the concordance index) and all-time risk scores (binary prediction; area under the receiver operating characteristic curve [AUROC] was the main metric); we only trained a binary classification model for prolonged hospital stay. For binary classification tasks, we compared CovRNN against traditional machine learning algorithms: logistic regression and light gradient boost machine. Our models were trained and validated on the heterogeneous, deidentified data of 247 960 patients with COVID-19 from 87 US health-care systems derived from the Cerner Real-World COVID-19 Q3 Dataset up to September 2020. We held out the data of 4175 patients from two hospitals for external validation. The remaining 243 785 patients from the 85 health systems were grouped into training (n=170 626), validation (n=24 378), and multi-hospital test (n=48 781) sets. Model performance was evaluated in the multi-hospital test set. The transferability of CovRNN was externally validated by use of deidentified data from 36 140 patients derived from the US-based Optum deidentified COVID-19 electronic health record dataset (version 1015; from January, 2007, to Oct 15, 2020). Exact dates of data extraction were masked by the databases to ensure patient data safety. FINDINGS: CovRNN binary models achieved AUROCs of 93·0% (95% CI 92·6-93·4) for the prediction of in-hospital mortality, 92·9% (92·6-93·2) for the prediction of mechanical ventilation, and 86·5% (86·2-86·9) for the prediction of a prolonged hospital stay, outperforming light gradient boost machine and logistic regression algorithms. External validation confirmed AUROCs in similar ranges (91·3-97·0% for in-hospital mortality prediction, 91·5-96·0% for the prediction of mechanical ventilation, and 81·0-88·3% for the prediction of prolonged hospital stay). For survival prediction, CovRNN achieved a concordance index of 86·0% (95% CI 85·1-86·9) for in-hospital mortality and 92·6% (92·2-93·0) for mechanical ventilation. INTERPRETATION: Trained on a large, heterogeneous, real-world dataset, our CovRNN models showed high prediction accuracy and transferability through consistently good performances on multiple external datasets. Our results show the feasibility of a COVID-19 predictive model that delivers high accuracy without the need for complex feature engineering. FUNDING: Cancer Prevention and Research Institute of Texas.

Comparison of Four International Guidelines on the Utility of Cranial Imaging Before Lumbar Puncture in Adults with Bacterial Meningitis.

BACKGROUND: International guidelines exist for obtaining a head computed tomography (CT) scan before a lumbar puncture (LP) in adults with suspected meningitis but there are no studies comparing them in their ability to identify intracranial abnormalities. METHODS: A retrospective study of 202 cases of adults with community-acquired bacterial meningitis at 16 hospitals in Houston from December 2004 until May 2019 to compare the 4 guidelines' ability in identifying minor and major intracranial findings, cases in which CT findings changed management, and patients who suffered cerebral herniation. RESULTS: Minor and major intracranial findings were seen in 69 (34.1%) and in 24 (11.8%) of the patients, respectively. A total of nine (37.5%) of the major intracranial findings prompted a neurosurgical intervention. A total of four (1.9%) patients had cerebral herniation. The Infectious Diseases of America (IDSA), the United Kingdom (UK), the European Society of Clinical Microbiology and Infectious Diseases (ESCMID), and the Swedish guidelines for cranial imaging were met in 92.1%, 54%, 41.6%, and in 23.3% of the patients, respectively. The IDSA, UK, European, and the Swedish guidelines missed 0%, 20.8%, 41.7%, and 70.8% of the major intracranial findings and 0, 1, 3 and 4 of the 9 patients that prompted a neurosurgical intervention, respectively. All four patients with cerebral herniation met the criteria for all four guidelines. CONCLUSION: Out of the four international guidelines, only the IDSA recommendations for cranial imaging did not miss any major intracranial abnormality or any finding that prompted a neurosurgical intervention but all guidelines identified herniation.

Characteristics, safety and cost-effectiveness analysis of self-administered outpatient parenteral antibiotic therapy via a disposable elastomeric continuous infusion pump at two county hospitals in Houston, Texas, United States.

WHAT IS KNOWN AND OBJECTIVE: Outpatient parenteral antibiotic therapy (OPAT) is an attractive option for patients who require parenteral antimicrobials as outpatients. Few OPAT studies have assessed the impact of IV antibiotic therapy via elastomeric continuous pumps, with most having been conducted outside the United States and few in county hospitals. The OPAT program in Harris Health system, the county hospital system of Houston, Texas, United States, has implemented a disposable elastomeric continuous infusion pump (eCIP) for self-administered intravenous antibiotics (s-OPAT) since December 2018. Our goal was to describe the clinical characteristics of patients discharged with an eCIP, as well as the safety and cost-effectiveness of this pump. METHODS: We retrospectively analysed patients discharged from Harris Health hospitals between 12/2018 and 02/2021 with s-OPAT via eCIP at home. We extracted various patient characteristics and outcomes related to OPAT. RESULTS AND DISCUSSION: Among 481 OPAT patients during the study period, 91 patients received s-OPAT via eCIP. A total of 1925 days of s-OPAT were administered at home, with a median duration of 12 days. Eighty-three patients (93.4%) achieved a cure from infection, six patients (6.6%) had side effects, and nine patients (9.9%) experienced 30-day hospital readmission. Twenty-two patients (24.2%) presented to the ED during s-OPAT, with 13 patients (14.3%) presenting with PICC line concerns. We estimated that s-OPAT via eCIP saved $2,360,500 to $3,503,900 compared to inpatient-only therapy. WHAT IS NEW AND CONCLUSION: Our study showed that patients with s-OPAT via eCIP had a high cure rate with a relatively low incidence of side effects and 30-day hospital readmission. ED visits during therapy were relatively high, which indicates the necessity of close patient monitoring via the OPAT program. eCIP appears to be a good option to facilitate an early disposition of patients in county hospitals.

Efficacy and Safety of COVID-19 Convalescent Plasma in Hospitalized Patients: A Randomized Clinical Trial.

Importance: There is clinical equipoise for COVID-19 convalescent plasma (CCP) use in patients hospitalized with COVID-19. Objective: To determine the safety and efficacy of CCP compared with placebo in hospitalized patients with COVID-19 receiving noninvasive supplemental oxygen. Design, Setting, and Participants: CONTAIN COVID-19, a randomized, double-blind, placebo-controlled trial of CCP in hospitalized adults with COVID-19, was conducted at 21 US hospitals from April 17, 2020, to March 15, 2021. The trial enrolled 941 participants who were hospitalized for 3 or less days or presented 7 or less days after symptom onset and required noninvasive oxygen supplementation. Interventions: A unit of approximately 250 mL of CCP or equivalent volume of placebo (normal saline). Main Outcomes and Measures: The primary outcome was participant scores on the 11-point World Health Organization (WHO) Ordinal Scale for Clinical Improvement on day 14 after randomization; the secondary outcome was WHO scores determined on day 28. Subgroups were analyzed with respect to age, baseline WHO score, concomitant medications, symptom duration, CCP SARS-CoV-2 titer, baseline SARS-CoV-2 serostatus, and enrollment quarter. Outcomes were analyzed using a bayesian proportional cumulative odds model. Efficacy of CCP was defined as a cumulative adjusted odds ratio (cOR) less than 1 and a clinically meaningful effect as cOR less than 0.8. Results: Of 941 participants randomized (473 to placebo and 468 to CCP), 556 were men (59.1%); median age was 63 years (IQR, 52-73); 373 (39.6%) were Hispanic and 132 (14.0%) were non-Hispanic Black. The cOR for the primary outcome adjusted for site, baseline risk, WHO score, age, sex, and symptom duration was 0.94 (95% credible interval [CrI], 0.75-1.18) with posterior probability (P[cOR<1] = 72%); the cOR for the secondary adjusted outcome was 0.92 (95% CrI, 0.74-1.16; P[cOR<1] = 76%). Exploratory subgroup analyses suggested heterogeneity of treatment effect: at day 28, cORs were 0.72 (95% CrI, 0.46-1.13; P[cOR<1] = 93%) for participants enrolled in April-June 2020 and 0.65 (95% CrI, 0.41 to 1.02; P[cOR<1] = 97%) for those not receiving remdesivir and not receiving corticosteroids at randomization. Median CCP SARS-CoV-2 neutralizing titer used in April to June 2020 was 1:175 (IQR, 76-379). Any adverse events (excluding transfusion reactions) were reported for 39 (8.2%) placebo recipients and 44 (9.4%) CCP recipients (P = .57). Transfusion reactions occurred in 2 (0.4) placebo recipients and 8 (1.7) CCP recipients (P = .06). Conclusions and Relevance: In this trial, CCP did not meet the prespecified primary and secondary outcomes for CCP efficacy. However, high-titer CCP may have benefited participants early in the pandemic when remdesivir and corticosteroids were not in use. Trial Registration: ClinicalTrials.gov Identifier: NCT04364737.

Real World Long-term Assessment of The Efficacy of Tocilizumab in Patients with COVID-19: Results From A Large De-identified Multicenter Electronic Health Record Dataset in the United States.

BACKGROUND: Studies have shown conflicting results on the efficacy of tocilizumab (TCZ) for patients with COVID-19, with many confounders of clinical status and limited duration of the observation. Here, we evaluate the real-world long-term efficacy of TCZ in COVID-19 patients. METHODS: We conducted a retrospective study of hospitalized adult patients with COVID-19 using a large US-based multicenter COVID-19 database (Cerner Real-World Data; updated in September, 2020). The TCZ group was defined as patients who received at least one dose of the drug. Matching weight (MW) and a propensity score weighting method were used to balance confounding factors. RESULTS: A total of 20,399 patients were identified. 1,510 and 18,899 were in the TCZ and control groups, respectively. After MW adjustment, no statistically significant differences in all-cause mortality were found for the TCZ vs. control group (Hazard Ratio [HR]:0.76, p=0.06). Survival curves suggested a better trend in short-term observation, driven from a subgroup of patients requiring oxygen masks, BIPAP or CPAP. CONCLUSION: We observed a temporal (early) benefit of TCZ, especially in patients on non-invasive high-flow supplemental oxygen. However, the benefit effects faded with longer observation. The long-term benefits and risks of TCZ should be carefully evaluated with follow-up studies.

Distinguishing cytomegalovirus meningoencephalitis from other viral central nervous system infections.

BACKGROUND: Hallmarks of cytomegalovirus (CMV) meningoencephalitis include fever, altered mental status, or meningismus with pleocytosis, elevated protein and hypoglycorrhachia on cerebrospinal fluid (CSF) analysis. Magnetic resonance imaging may show ventriculitis, ependymitis or periventricular enhancement. Studies are limited comparing clinical and laboratory characteristics to other viral etiologies. OBJECTIVES: This multi-center, retrospective cohort analysis reviewed patients with CMV meningitis or encephalitis and compared clinical features, laboratory findings and outcomes to the most common viral causes of meningoencephalitis. STUDY DESIGN: Patients with encephalitis or aseptic meningitis and detectable genetic material by polymerase chain reaction were identified. Clinical characteristics, laboratory findings and neuroimaging were collected from the electronic medical record. Data analysis was performed comparing CMV to other viral etiologies. RESULTS: 485 patients were evaluated and included cases of CMV (n = 36) which were compared with herpes simplex virus (n = 114), enterovirus (n = 207), varicella zoster virus (n = 41) and West Nile virus (n = 81). Human immunodeficiency virus (HIV) infection was seen more frequently in CMV infection compared with all other viral etiologies. Clinical presentations and CSF findings of other viral etiologies differ compared with CMV. Hypoglycorrhacia occurred more often with CMV compared with other viral pathogens. Outcomes were significantly worse compared with enterovirus, herpes simplex virus and varicella zoster virus but not West Nile virus. CONCLUSIONS: CMV meningoencephalitis occurs most often in patients with HIV and encephalitis occurs more frequently than meningitis. Clinical and laboratory findings differ compared with other viral etiologies and can support consideration of CMV in the differential diagnosis of patients with meningoencephalitis.

Risk Classification for Respiratory Viral Infections in Adult Solid Organ Transplantation Recipients.

INTRODUCTION: Molecular testing such as nasopharyngeal viral polymerase chain reaction (PCR) (NVP) is available now in most hospitals and widely used to identify respiratory viral infections (RVIs) in solid organ transplantation (SOT) recipients. MATERIALS AND METHODS: A retrospective multicenter study at 8 hospitals from March 1, 2016, to April 30, 2019. We included all adult SOT recipients who were admitted to the hospitals and had their first NVP post transplantation. RESULTS: A total of 102 adult SOT recipients were enrolled. NVP test was positive in 33 (32.4%) SOT recipients and negative in 69 (67.6%). Median age was more than 60 years old with female predominance in both groups. The majority of patients who had positive NVP were hospitalized either in fall or winter seasons (91%). RVI symptoms were documented in about 73% of the positive NVP group. Rhinovirus was the most common identified virus (48.4%). On logistic regression analysis, clinical presentation in fall or winter seasons, presenting with upper respiratory infection (URI) symptoms and taking prednisone ≥10 mg/d were significantly associated with positive NVP. This model classified patients into 3 categories of risk for RVIs-low (none of the variables), 0%; intermediate (1 variable), 6.5%; and high (≥2 variables), 55.4% with P < .001 for all predictors. CONCLUSION: SOT recipients who are taking prednisone (≥10 mg) and have URI symptoms in fall or winter seasons are more likely to have RVIs.

Seroprevalence of Strongyloides stercoralis and Evaluation of Universal Screening in Kidney Transplant Candidates: A Single-Center Experience in Houston (2012-2017).

BACKGROUND: Disseminated strongyloidiasis in solid organ transplant recipients is a rare but devastating infection. In our center, we implemented a universal screening of all candidates for kidney transplantation. We assessed the seroprevalence and utility of universal screening for strongyloidiasis in our center. METHODS: Patients were identified from our transplant referral list (from July 2012 to June 2017). Demographics, pretransplant laboratory, and serological screenings were retrospectively collected. For Strongyloides-seropositive (SSp) patients, data on travel history, symptoms, treatment, and stool ova and parasite examinations were extracted. Logistic regression and multiple imputation for missing data were performed. RESULTS: A total of 1689 patients underwent serological screening, of whom 168 (9.9%) were SSp. Univariate analysis revealed that SSp patients had higher rates of eosinophilia, diabetes mellitus, latent tuberculosis and were likely to be either Hispanic or Asian (P < .05). In multivariate analysis, eosinophilia (P = .01), diabetes mellitus (P = .02), and Asian race (P = .03) were associated with being SSp, but 45 (27%) of the SSp patients did not have any of these 3 factors, and 18 SSp patients (11%) had no epidemiological risk factors. All patients received ivermectin, and none developed disseminated strongyloidiasis. Of patients who underwent serological screening on multiple occasions, 6.8% seroconverted while waiting for kidney transplantation. CONCLUSIONS: We found a high rate of Strongyloides seropositivity among our kidney transplantation candidates. No epidemiological risk factors effectively predicted SSp status in our population, and universal screening identified a large number of patients without such factors. Serial screening should be considered when a long wait time is expected before transplantation.

Delayed Cerebral Injury in Adults With Bacterial Meningitis: A Novel Complication of Adjunctive Steroids?

OBJECTIVES: To report the prevalence of delayed cerebral injury in adults with bacterial meningitis and explore its association with adjunctive steroids. DESIGN: Retrospective analysis of adults with bacterial meningitis between 2005 and 2016. SETTING: Ten hospitals in the Greater Houston area. PATIENTS: Consecutive subjects with culture proven community-acquired bacterial meningitis. INTERVENTION: Subjects were categorized as receiving or not adjunctive steroids within 4 hours. MEASUREMENTS AND MAIN RESULTS: A total of 120 patients were identified who were admitted with community-acquired bacterial meningitis. Delayed cerebral injury was seen in five of 120 patients (4.1%); all five patients had fever and abnormal neurologic examinations. Adjunctive steroids within 4 hours were more likely given to those with delayed cerebral injury (5/5,100% vs 43/115, 37.5%; p = 0.01). Of the patients who developed delayed cerebral injury, three had Streptococcus pneumoniae, one had methicillin-resistant Staphylococcus aureus, and one had Listeria monocytogenes isolated. We observed an adverse clinical outcome as defined by the Glasgow Outcome Scale in four of the five patients (80%). CONCLUSIONS: Delayed cerebral injury occurred in 4.1% of adults with bacterial meningitis, and it was associated with the use of adjunctive steroids. Future studies should explore the etiology and prevention of this devastating complication.