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1.
Infection ; 50(3): 783-790, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1872775

ABSTRACT

PURPOSE: COVID-19 patients on anti-CD20 treatment can suffer a delayed viral clearance and worse clinical outcome. We aim to present our experience with remdesivir treatment in anti-CD20-treated patients with prolonged symptoms, a patient population for which no data from randomized controlled trials are available. METHODS: From the beginning of the pandemic until February 2021, we included all consecutive patients from our healthcare network on anti-CD20 treatment with prolonged COVID-19 symptoms, who received remdesivir. Patient informed consent was gathered and patients' charts were reviewed to collect baseline data, COVID-19 history including time of symptom onset, diagnosis, data on treatment and disease course. Patients or their next of kin were contacted in March 2022 to assess long-term outcomes. RESULTS: We included 11 patients, who received remdesivir at a median of 33 days after diagnosis. Eight patients showed clinical improvement along with reductions in viral loads, one patient with relapsing infection recovered after administration of convalescent plasma, and two patients died. No clinical relapses were reported (median follow-up 13 months), while follow-up PCRs were not performed. One patient died of underlying malignancy 8 months after recovery from COVID-19. CONCLUSIONS: We observed a benefit of antiviral therapy in a majority of COVID-19 patients on anti-CD20 treatment, without any clinical relapses in the 1-year follow-up. Although these data suggest that remdesivir might be a promising management option in patients with delayed viral clearance, the lack of a control group is an important limitation of the study design. TRIAL REGISTRATION: Ethikkommission Ostschweiz, Scheibenackerstrasse 4, CH-9000 St. Gallen approved this case series. Project-ID 2021-00349 EKOS 21/027.


Subject(s)
COVID-19 Drug Treatment , COVID-19 , Adenosine Monophosphate/analogs & derivatives , Alanine/analogs & derivatives , Antibodies, Monoclonal/therapeutic use , Antiviral Agents/therapeutic use , COVID-19/therapy , Humans , Immunization, Passive , Recurrence , SARS-CoV-2 , Treatment Outcome , COVID-19 Serotherapy
2.
Antimicrob Resist Infect Control ; 11(1): 12, 2022 01 21.
Article in English | MEDLINE | ID: covidwho-1643184

ABSTRACT

BACKGROUND: Despite the adoption of strict infection prevention and control measures, many hospitals have reported outbreaks of multidrug-resistant organisms (MDRO) during the Coronavirus 2019 (COVID-19) pandemic. Following an outbreak of carbapenem-resistant Acinetobacter baumannii (CRAB) in our institution, we sought to systematically analyse characteristics of MDRO outbreaks in times of COVID-19, focussing on contributing factors and specific challenges in controlling these outbreaks. METHODS: We describe results of our own CRAB outbreak investigation and performed a systematic literature review for MDRO (including Candida auris) outbreaks which occurred during the COVID-19 pandemic (between December 2019 and March 2021). Search terms were related to pathogens/resistance mechanisms AND COVID-19. We summarized outbreak characteristics in a narrative synthesis and contrasted contributing factors with implemented control measures. RESULTS: The CRAB outbreak occurred in our intensive care units between September and December 2020 and comprised 10 patients (thereof seven with COVID-19) within two distinct genetic clusters (both ST2 carrying OXA-23). Both clusters presumably originated from COVID-19 patients transferred from the Balkans. Including our outbreak, we identified 17 reports, mostly caused by Candida auris (n = 6) or CRAB (n = 5), with an overall patient mortality of 35% (68/193). All outbreaks involved intensive care settings. Non-adherence to personal protective equipment (PPE) or hand hygiene (n = 11), PPE shortage (n = 8) and high antibiotic use (n = 8) were most commonly reported as contributing factors, followed by environmental contamination (n = 7), prolonged critical illness (n = 7) and lack of trained HCW (n = 7). Implemented measures mainly focussed on PPE/hand hygiene audits (n = 9), environmental cleaning/disinfection (n = 9) and enhanced patient screening (n = 8). Comparing potentially modifiable risk factors and control measures, we found the largest discrepancies in the areas of PPE shortage (risk factor in 8 studies, addressed in 2 studies) and patient overcrowding (risk factor in 5 studies, addressed in 0 studies). CONCLUSIONS: Reported MDRO outbreaks during the COVID-19 pandemic were most often caused by CRAB (including our outbreak) and C. auris. Inadequate PPE/hand hygiene adherence, PPE shortage, and high antibiotic use were the most commonly reported potentially modifiable factors contributing to the outbreaks. These findings should be considered for the prevention of MDRO outbreaks during future COVID-19 waves.


Subject(s)
Acinetobacter Infections/prevention & control , Acinetobacter baumannii , COVID-19/complications , COVID-19/epidemiology , Candida auris , Candidiasis/prevention & control , Pandemics , SARS-CoV-2 , Acinetobacter Infections/complications , Acinetobacter baumannii/drug effects , Aged , Candidiasis/complications , Carbapenems/pharmacology , Cross Infection/prevention & control , Disease Outbreaks/prevention & control , Drug Resistance, Multiple, Bacterial , Female , Humans , Infection Control/methods , Male , Middle Aged , Retrospective Studies , Switzerland/epidemiology
3.
Am J Transplant ; 21(5): 1789-1800, 2021 05.
Article in English | MEDLINE | ID: covidwho-897176

ABSTRACT

Solid organ transplant (SOT) recipients are exposed to respiratory viral infection (RVI) during seasonal epidemics; however, the associated burden of disease has not been fully characterized. We describe the epidemiology and outcomes of RVI in a cohort enrolling 3294 consecutive patients undergoing SOT from May 2008 to December 2015 in Switzerland. Patient and allograft outcomes, and RVI diagnosed during routine clinical practice were prospectively collected. Median follow-up was 3.4 years (interquartile range 1.61-5.56). Six hundred ninety-six RVIs were diagnosed in 151/334 (45%) lung and 265/2960 (9%) non-lung transplant recipients. Cumulative incidence was 60% (95% confidence interval [CI] 53%-69%) in lung and 12% (95% CI 11%-14%) in non-lung transplant recipients. RVI led to 17.9 (95% CI 15.7-20.5) hospital admissions per 1000 patient-years. Intensive care unit admission was required in 4% (27/691) of cases. Thirty-day all-cause case fatality rate was 0.9% (6/696). Using proportional hazard models we found that RVI (adjusted hazard ratio [aHR] 2.45; 95% CI 1.62-3.73), lower respiratory tract RVI (aHR 3.45; 95% CI 2.15-5.52), and influenza (aHR 3.57; 95% CI 1.75-7.26) were associated with graft failure or death. In this cohort of SOT recipients, RVI caused important morbidity and may affect long-term outcomes, underlying the need for improved preventive strategies.


Subject(s)
Influenza, Human , Organ Transplantation , Respiratory Tract Infections , Cohort Studies , Humans , Influenza, Human/epidemiology , Organ Transplantation/adverse effects , Prospective Studies , Respiratory Tract Infections/epidemiology , Respiratory Tract Infections/etiology , Seasons , Switzerland , Transplant Recipients
4.
BMC Infect Dis ; 21(1): 271, 2021 Mar 17.
Article in English | MEDLINE | ID: covidwho-1140480

ABSTRACT

BACKGROUND: In the future, co-circulation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza viruses A/B is likely. From a clinical point of view, differentiation of the two disease entities is crucial for patient management. We therefore aim to detect clinical differences between Coronavirus Disease 2019 (COVID-19) and seasonal influenza patients at time of hospital admission. METHODS: In this single-center observational study, we included all consecutive patients hospitalized for COVID-19 or influenza between November 2019 and May 2020. Data were extracted from a nationwide surveillance program and from electronic health records. COVID-19 and influenza patients were compared in terms of baseline characteristics, clinical presentation and outcome. We used recursive partitioning to generate a classification tree to discriminate COVID-19 from influenza patients. RESULTS: We included 96 COVID-19 and 96 influenza patients. Median age was 68 vs. 70 years (p = 0.90), 72% vs. 56% (p = 0.024) were males, and median Charlson Comorbidity Index (CCI) was 1 vs. 2 (p = 0.027) in COVID-19 and influenza patients, respectively. Time from symptom onset to hospital admission was longer for COVID-19 (median 7 days, IQR 3-10) than for influenza patients (median 3 days, IQR 2-5, p < 0.001). Other variables favoring a diagnosis of COVID-19 in the classification tree were higher systolic blood pressure, lack of productive sputum, and lack of headache. The tree classified 86/192 patients (45%) into two subsets with ≥80% of patients having influenza or COVID-19, respectively. In-hospital mortality was higher for COVID-19 patients (16% vs. 5%, p = 0.018). CONCLUSION: Discriminating COVID-19 from influenza patients based on clinical presentation is challenging. Time from symptom onset to hospital admission is considerably longer in COVID-19 than in influenza patients and showed the strongest discriminatory power in our classification tree. Although they had fewer comorbidities, in-hospital mortality was higher for COVID-19 patients.


Subject(s)
COVID-19/diagnosis , Influenza, Human/diagnosis , Aged , Aged, 80 and over , COVID-19/epidemiology , Comorbidity , Diagnosis, Differential , Female , Hospital Mortality , Hospitalization , Humans , Influenza, Human/epidemiology , Male , Middle Aged , Retrospective Studies , Switzerland
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