Clinical Characteristics and Outcomes of Patients With Mpox Who Received Tecovirimat in a New York City Health System.

Background: The 2022 global mpox outbreak was notable for transmission between persons outside of travel and zoonotic exposures and primarily through intimate contact. An understanding of the presentation of mpox in people with human immunodeficiency virus (HIV) and other immunocompromising conditions and knowledge of the efficacy of tecovirimat continue to evolve. Methods: This retrospective study describes clinical features and outcomes of persons with mpox who received tecovirimat. Data were obtained via medical record review of patients prescribed tecovirimat in a health system in New York City during the height of the outbreak in 2022. Results: One hundred thirty people received tecovirimat between 1 July and 1 October 2022. People with HIV (n = 80) experienced similar rates of recovery, bacterial superinfections, and hospitalization compared to patients without immunocompromising conditions. Individuals determined to be severely immunocompromised (n = 14) had a higher risk of hospitalization than those without severe immunocompromise (cohort inclusive of those with well-controlled HIV, excluding those without virologic suppression, n = 101): 50% versus 9% (P < .001). Hospitalized patients (n = 18 [13% of total]) were primarily admitted for bacterial superinfections (44.4%), with a median hospital stay of 4 days. Of those who completed follow-up (n = 85 [66%]), 97% had recovery of lesions at time of posttreatment assessment. Tecovirimat was well tolerated; there were no reported severe adverse events attributed to therapy. Conclusions: There were no significant differences in outcomes between people with HIV when evaluated as a whole and patients without immunocompromising conditions. However, mpox infection was associated with higher rates of hospitalization in those with severe immunocompromise, including patients with HIV/AIDS. Treatment with tecovirimat was well tolerated.Key Points: In our mpox cohort, people with HIV had similar rates of recovery and complications as those without HIV or other immunocompromising conditions. Severe immunocompromise was associated with a higher hospitalization rate. Tecovirimat was well tolerated, with minimal side effects.

Back2PrEP: Rates of Bacterial Sexually Transmitted Infection Diagnosis Among Individuals Returning to HIV Pre-Exposure Prophylaxis Care: A Retrospective Review of a New York City Comprehensive HIV Prevention Program.

HIV pre-exposure prophylaxis (PrEP) effectively reduces new HIV diagnoses. High rates of incident bacterial sexually transmitted infections (STIs) have been observed in patients eligible for and adherent to PrEP. Observational studies generally report low long-term retention in PrEP care. Limited data exist on the rates of bacterial STI diagnosis upon re-engagement with PrEP services. We conducted a retrospective chart review within the HIV prevention program of an urban academic medical center in New York City. Eligible patients started PrEP from 2015 to 2019, then resumed PrEP services after a gap in care of at least 180 days. Demographic, clinical, and laboratory data were used to characterize the patient population and rates of bacterial STI diagnosis at re-engagement. In total, 286 patients were identified, with 316 qualifying re-engagement visits. Twenty-nine percent of patients had continued PrEP during the care gap, and 30% reported discontinuing medication due to a perceived change in risk. A new STI was diagnosed at 19% of re-engagement visits. There was no statistically significant difference in rates of new STI between individuals returning on or off PrEP, nor between those with perceived lower risk and those without. Individuals who fall out of PrEP services and subsequently re-engage remain at high risk of bacterial STI during the gap in care, regardless of whether PrEP medication is continued or the patient perceives themselves to be at lower HIV acquisition risk. Providers should strongly encourage patients discontinuing PrEP to remain engaged in sexual health services. Alternatives to clinic-based PrEP care must still include regular bacterial STI screening.

Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City.

BACKGROUND: The progression of clinical manifestations in patients with coronavirus disease 2019 (COVID-19) highlights the need to account for symptom duration at the time of hospital presentation in decision-making algorithms. METHODS: We performed a nested case-control analysis of 4103 adult patients with COVID-19 and at least 28 days of follow-up who presented to a New York City medical center. Multivariable logistic regression and classification and regression tree (CART) analysis were used to identify predictors of poor outcome. RESULTS: Patients presenting to the hospital earlier in their disease course were older, had more comorbidities, and a greater proportion decompensated (<4 days, 41%; 4-8 days, 31%; >8 days, 26%). The first recorded oxygen delivery method was the most important predictor of decompensation overall in CART analysis. In patients with symptoms for <4, 4-8, and >8 days, requiring at least non-rebreather, age ≥ 63 years, and neutrophil/lymphocyte ratio ≥ 5.1; requiring at least non-rebreather, IL-6 ≥ 24.7 pg/mL, and D-dimer ≥ 2.4 µg/mL; and IL-6 ≥ 64.3 pg/mL, requiring non-rebreather, and CRP ≥ 152.5 mg/mL in predictive models were independently associated with poor outcome, respectively. CONCLUSION: Symptom duration in tandem with initial clinical and laboratory markers can be used to identify patients with COVID-19 at increased risk for poor outcomes.

Characterization of Bacterial and Fungal Infections in Hospitalized Patients With Coronavirus Disease 2019 and Factors Associated With Health Care-Associated Infections.

BACKGROUND: Patients hospitalized with coronavirus disease 2019 (COVID-19) are at increased risk of health care-associated infections (HAIs), especially with prolonged hospital stays. We sought to identify incidence, antimicrobial susceptibilities, and outcomes associated with bacterial/fungal secondary infections in a large cohort of patients with COVID-19. METHODS: We evaluated adult patients diagnosed with COVID-19 between 2 March and 31 May 2020 and hospitalized >24 hours. Data extracted from medical records included diagnoses, vital signs, laboratory results, microbiological data, and antibiotic use. Microbiologically confirmed bacterial and fungal pathogens from clinical cultures were evaluated to characterize community- and health care-associated infections, including describing temporal changes in predominant organisms on presentation and throughout hospitalization. Univariable and multivariable logistic regression analyses were performed to investigate risk factors for HAIs. RESULTS: A total of 3028 patients were included and accounted for 899 positive clinical cultures. Overall, 516 (17%) patients with positive cultures met criteria for infection. Community-associated coinfections were identified in 183 (6%) patients, whereas HAIs occurred in 350 (12%) patients. Fifty-seven percent of HAIs were caused by gram-negative bacteria and 19% by fungi. Antibiotic resistance increased with longer hospital stays, with incremental increases in the proportion of vancomycin resistance among enterococci and ceftriaxone and carbapenem resistance among Enterobacterales. Intensive care unit stay, invasive mechanical ventilation, and steroids were associated with HAIs. CONCLUSIONS: HAIs occur in a small proportion of patients hospitalized with COVID-19 and are most often caused by gram-negative and fungal pathogens. Antibiotic resistance is more prevalent with prolonged hospital stays. Antimicrobial stewardship is imperative in this population to minimize unnecessary broad-spectrum antibiotic use.

Disease Course and Outcomes of COVID-19 Among Hospitalized Patients With Gastrointestinal Manifestations.

BACKGROUND & AIMS: Our understanding of outcomes and disease time course of COVID-19 in patients with gastrointestinal (GI) symptoms remains limited. In this study we characterize the disease course and severity of COVID-19 among hospitalized patients with gastrointestinal manifestations in a large, diverse cohort from the Unites States. METHODS: This retrospective study evaluated hospitalized individuals with COVID-19 between March 11 and April 28, 2020 at two affiliated hospitals in New York City. We evaluated the association between GI symptoms and death, and also explored disease duration, from symptom onset to death or discharge. RESULTS: Of 2804 patients hospitalized with COVID-19, the 1,084 (38.7%) patients with GI symptoms were younger (aOR for age ≥75, 0.59; 95% CI, 0.45-0.77) and had more co-morbidities (aOR for modified Charlson comorbidity score ≥2, 1.22; 95% CI, 1.01-1.48) compared to those without GI symptoms. Individuals with GI symptoms had better outcomes, with a lower likelihood of intubation (aHR, 0.66; 95% CI, 0.55-0.79) and death (aHR, 0.71; 95% CI, 0.59-0.87), after adjusting for clinical factors. These patients had a longer median disease course from symptom onset to discharge (13.8 vs 10.8 days, log-rank p = .048; among 769 survivors with available symptom onset time), which was driven by longer time from symptom onset to hospitalization (7.4 vs 5.4 days, log-rank P < .01). CONCLUSION: Hospitalized patients with GI manifestations of COVID-19 have a reduced risk of intubation and death, but may have a longer overall disease course driven by duration of symptoms prior to hospitalization.