Importance: A global outbreak of clade IIb Monkeypox virus (MPXV) infections spread rapidly across at least 118 countries resulting in a Public Health Emergency of International Concern (PHEIC) from July 2022 to May 2023. This outbreak affected more than 99 000 persons worldwide and caused more than 33 000 infections and 60 deaths in the US. In 2024, there have been approximately 200 new infections per month in the US. On August 14, 2024, the World Health Organization declared mpox a PHEIC for a second time due to a rapid increase in infections with clade I MPXV in Central Africa.Observations: Mpox is primarily acquired through direct skin to skin contact with MPXV. With clade IIb MPXV, infections are most commonly associated with sexual activity among individuals who are gay, bisexual, and other men who have sex with men. After a median incubation period of 7 to 10 days, prodromal symptoms include fever (62%-72%), lymphadenopathy (56%-86%), myalgias (31%-55%), malaise (23%-57%), and headache (25%-55%). Skin lesions progress through 4 well-defined stages (macules, papules, vesicles, and pustules) over 2 to 4 weeks. Clade IIb MPXV is typically a self-limited illness with a low mortality rate (<0.2% in the US); however, severe illness and death may occur in immunocompromised individuals, especially those with advanced HIV (CD4 count <200 cells/μL). Mpox should be suspected in patients with potential exposure to MPXV who have skin lesions, and the diagnosis is confirmed with polymerase chain reaction testing of lesions. Management is supportive and focuses on skin care and symptom relief with analgesics. While no antiviral treatments are currently approved for mpox by the US Food and Drug Administration, several therapeutics, such as tecovirimat, brincidofovir, and vaccinia immune globulin intravenous, are available through expanded access programs or clinical trials. Vaccination with the 2-dose Modified Vaccinia Ankara-Bavarian Nordic vaccine is recommended for high-incidence populations and has an efficacy of 66% to 86%.Conclusions and Relevance: Mpox is a viral infection transmitted primarily through close skin to skin contact that typically causes a self-resolving illness but can result in severe illness and death in immunocompromised individuals. First-line therapy is supportive care, although patients with severe mpox infection may be treated with advanced therapeutics. Mpox vaccination is effective and, if available, should be offered to individuals at risk of exposure to mpox.

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.

SARS-CoV-2 infections have surged across the globe in recent months, concomitant with considerable viral evolution^1–3. Extensive mutations in the spike protein may threaten the efficacy of vaccines and therapeutic monoclonal antibodies⁴. Two signature spike mutations of concern are E484K, which has a crucial role in the loss of neutralizing activity of antibodies, and N501Y, a driver of rapid worldwide transmission of the B.1.1.7 lineage. Here we report the emergence of the variant lineage B.1.526 (also known as the Iota variant⁵), which contains E484K, and its rise to dominance in New York City in early 2021. This variant is partially or completely resistant to two therapeutic monoclonal antibodies that are in clinical use and is less susceptible to neutralization by plasma from individuals who had recovered from SARS-CoV-2 infection or serum from vaccinated individuals, posing a modest antigenic challenge. The presence of the B.1.526 lineage has now been reported in all 50 states in the United States and in many other countries. B.1.526 rapidly replaced earlier lineages in New York, with an estimated transmission advantage of 35%. These transmission dynamics, together with the relative antibody resistance of its E484K sub-lineage, are likely to have contributed to the sharp rise and rapid spread of B.1.526. Although SARS-CoV-2 B.1.526 initially outpaced B.1.1.7 in the region, its growth subsequently slowed concurrently with the rise of B.1.1.7 and ensuing variants.

Objective: Universal HIV screening programs are costly, labor intensive, and often fail to identify high-risk individuals. Automated risk assessment methods that leverage longitudinal electronic health records (EHRs) could catalyze targeted screening programs. Although social and behavioral determinants of health are typically captured in narrative documentation, previous analyses have considered only structured EHR fields. We examined whether natural language processing (NLP) would improve predictive models of HIV diagnosis. Methods: One hundred eighty-one HIV+ individuals received care at New York Presbyterian Hospital before a confirmatory HIV diagnosis and 543 HIV negative controls were selected using propensity score matching and included in the study cohort. EHR data including demographics, laboratory tests, diagnosis codes, and unstructured notes before HIV diagnosis were extracted for modeling. Three predictive algorithms were developed using machine-learning algorithms: (1) a baseline model with only structured EHR data, (2) baseline plus NLP topics, and (3) baseline plus NLP clinical keywords. Results: Predictive models demonstrated a range of performance with F measures of 0.59 for the baseline model, 0.63 for the baseline + NLP topic model, and 0.74 for the baseline + NLP keyword model. The baseline + NLP keyword model yielded the highest precision by including keywords including “msm,” “unprotected,” “hiv,” and “methamphetamine,” and structured EHR data indicative of additional HIV risk factors. Conclusions: NLP improved the predictive performance of automated HIV risk assessment by extracting terms in clinical text indicative of high-risk behavior. Future studies should explore more advanced techniques for extracting social and behavioral determinants from clinical text.

The rapid global spread of the novel coronavirus SARS-CoV-2 has strained healthcare and testing resources, making the identification and prioritization of individuals most at-risk a critical challenge. Recent evidence suggests blood type may affect risk of severe COVID-19. We used observational healthcare data on 14,112 individuals tested for SARS-CoV-2 with known blood type in the New York Presbyterian (NYP) hospital system to assess the association between ABO and Rh blood types and infection, intubation, and death. We found slightly increased infection prevalence among non-O types. Risk of intubation was decreased among A and increased among AB and B types, compared with type O, while risk of death was increased for type AB and decreased for types A and B. We estimated Rh-negative blood type to have a protective effect for all three outcomes. Our results add to the growing body of evidence suggesting blood type may play a role in COVID-19.

We describe the characteristics of 31 people living with human immunodeficiency virus hospitalized for severe acute respiratory syndrome coronavirus 2 infection. All patients were on antiretroviral therapy and virologically suppressed at the time of admission. Clinical course and outcomes were similar to those reported in other hospitalized cohorts.