Background To estimate the infectious period of SARS-CoV-2 in older adults with underlying conditions, we assessed duration of COVID-19 symptoms, reverse-transcription polymerase chain reaction (RT-PCR) positivity, and culture positivity among nursing home residents. Methods We enrolled residents within 15 days of their first positive SARS-CoV-2 test (diagnosis) at an Arkansas facility from July 7–15, 2020 and followed them for 42 days. Every 3 days for 21 days and then weekly, we assessed COVID-19 symptoms, collected specimens (oropharyngeal, anterior nares, and saliva), and reviewed medical charts. Blood for serology was collected on days 0, 6, 12, 21, and 42. Infectivity was defined by positive culture. Duration of culture positivity was compared to duration of COVID-19 symptoms and RT-PCR positivity. Data were summarized using measures of central tendency, frequencies and proportions. Results We enrolled 17/39 (44%) eligible residents. Median participant age was 82 years (range: 58–97 years). All had ≥3 underlying conditions. Median duration of RT-PCR positivity was 22 days (interquartile range [IQR]: 8–31 days) from diagnosis; median duration of symptoms was 42 days (IQR: 28–49 days). Of nine (53%) participants with any culture-positive specimens, 1 (11%) severely immunocompromised participant remained culture-positive 19 days from diagnosis; 8/9 (89%) were culture-positive ≤8 days from diagnosis. Seroconversion occurred in 12/12 (100%) surviving participants with ≥1 blood specimen; all participants were culture-negative before seroconversion. Conclusion Duration of infectivity was considerably shorter than duration of symptoms and RT-PCR positivity. Severe immunocompromise may prolong SARS-CoV-2 infectivity. Seroconversion indicated non-infectivity in this cohort.

Carbapenemase gene-positive (CP) Gram-negative bacilli are of significant clinical and public health concern. Their rapid detection and containment are critical to preventing their spread and additional infections they can cause. To this end, CDC developed the Antibiotic Resistance Laboratory Network (AR Lab Network), in which public health laboratories across all 50 states, several cities, and Puerto Rico characterize clinical isolates of carbapenem-resistant Enterobacterales (CRE), Pseudomonas aeruginosa (CRPA), and Acinetobacter baumannii (CRAB), and conduct colonization screens to detect the presence of mobile carbapenemase genes. In its first three years, the AR Lab Network tested 76,887 isolates and 31,001 rectal swab colonization screens. Targeted carbapenemase genes ( bla KPC , bla NDM , bla OXA-48-like , bla VIM , or bla IMP ) were detected by PCR in 35% of CRE, 2% of CRPA, <1% of CRAB, and 8% of colonization screens tested, respectively. bla KPC and bla VIM were the most common CP-CRE and CP-CRPA, respectively, but regional differences in the frequency of carbapenemase genes detected were apparent. In CRE and CRPA isolates tested for carbapenemase production and the presence of the targeted genes, 97% had concordant results; 3% of CRE and 2% of CRPA were carbapenemase production-positive but PCR-negative for those genes. Isolates harboring bla NDM showed the highest frequency of resistance across the carbapenems tested and those harboring bla IMP and bla OXA-48-like genes showed the lowest frequency of carbapenem resistance. The AR Lab Network provides a national snapshot of rare and emerging carbapenemase genes, delivering data to inform public health actions to limit the spread of these antibiotic resistance threats.

Aztreonam-avibactam is a drug combination pending phase 3 clinical trials and is suggested for treatment of severe infections caused by metallo-beta-lactamase (MBL)-producing Enterobacterales by combining ceftazidime-avibactam and aztreonam. Beginning in 2019, four Antibiotic Resistance Laboratory Network regional laboratories offered aztreonam-avibactam susceptibility testing by broth microdilution. For 64 clinical isolates tested, the MIC 50 and MIC 90 of aztreonam-avibactam were 0.5/4 μg/mL and 8/4 μg/mL, respectively. Aztreonam-avibactam displayed potent in vitro activity against the MBL-producing Enterobacterales tested.

Background: Detection of carbapenem-resistant Pseudomonas aeruginosa (CRPA) with carbapenamase-producing (CP) genes is critical for preventing transmission. Our objective was to assess whether certain antimicrobial susceptibility testing (AST) profiles can efficiently identify CP-CRPA. Methods: We defined CRPA as P. aeruginosa with imipenem or meropenem MICs of ≥8μg/ml; CP-CRPA were CRPA with CP genes (blaKPC/blaIMP/blaNDM/blaVIM). We assessed the sensitivity and specificity of AST profiles to detect CP-CRPA among CRPA collected by CDC’s Antibiotic Resistance Laboratory Network (AR Lab Network) and the Emerging Infections Program (EIP) during 2017–2019. Results: Three percent (195/6192) of AR Lab Network CRPA were CP-CRPA. Among CRPA, adding not susceptible (NS) to cefepime or ceftazidime to the definition had 91% sensitivity and 50% specificity for identifying CP-CRPA; NS to ceftolozane-tazobactam had 100% sensitivity and 86% specificity. Of 965 EIP CRPA evaluated for CP genes, seven CP-CRPA were identified; 6 of 7 were NS to cefepime and ceftazidime, and all 7 were NS to ceftolozane-tazobactam. Among 4182 EIP isolates, clinical laboratory AST results were available for 96% for cefepime, 80% for ceftazidime, and 4% for ceftolozane-tazobactam. The number of CRPA needed to test (NNT) to identify one CP-CRPA decreased from 138 to 64 if the definition of NS to cefepime or ceftazidime was used and to 7 with NS to ceftolozane-tazobactam. Conclusion: Adding not susceptible to cefepime or ceftazidime to CRPA carbapenemase testing criteria would reduce the NNT by half and can be implemented in most clinical laboratories; adding not susceptible to ceftolozane-tazobactam could be even more predictive once AST for this drug is more widely available.

Objective: Characterize and compare SARS-CoV-2–specific immune responses in plasma and gingival crevicular fluid (GCF) from nursing home residents during and after natural infection Design: Prospective cohort Setting: Nursing home Participants: SARS-CoV-2–infected nursing home residents Methods: A convenience sample of 14 SARS-CoV-2–infected nursing home residents, enrolled 4–13 days after real-time reverse transcription polymerase chain reaction diagnosis, were followed for 42 days. Post diagnosis, plasma SARS-CoV-2–specific pan-Immunoglobulin (Ig), IgG, IgA, IgM, and neutralizing antibodies were measured at 5 timepoints and GCF SARS-CoV-2–specific IgG and IgA were measured at 4 timepoints. Results: All participants demonstrated immune responses to SARS-CoV-2 infection. Among 12 phlebotomized participants, plasma was positive for pan-Ig and IgG in all 12, neutralizing antibodies in 11, IgM in 10, and IgA in 9. Among 14 participants with GCF specimens, GCF was positive for IgG in 13 and IgA in 12. Immunoglobulin responses in plasma and GCF had similar kinetics; median times to peak antibody response was similar across specimen types (4 weeks for IgG; 3 weeks for IgA). Participants with pan-Ig, IgG, and IgA detected in plasma and GCF IgG remained positive through this evaluation’s end 46–55 days post-diagnosis. All participants were viral culture negative by the first detection of antibodies. Conclusions: Nursing home residents had detectable SARS-CoV-2 antibodies in plasma and GCF after infection. Kinetics of antibodies detected in GCF mirrored those from plasma. Non-invasive GCF may be useful for detecting and monitoring immunologic responses in populations unable or unwilling to be phlebotomized.