Pseudomonas fluorescens CRBSI outbreak: complying with the standardization of invasive procedures is a step ahead in the fight against antimicrobial resistance.

In the healthcare sector, the implementation of standardized procedures, such as those commonly employed in franchises to ensure consistent quality, remains underprioritized. Within this framework, we focus on the importance of standardized central venous catheter (CVC) insertion procedures to prevent healthcare-associated outbreaks. While antimicrobial resistance (AMR) may still not be the most prevalent problem in some institutions, its increasing significance certainly underlines the urgency of infection prevention.We aim to highlight this issue by describing and discussing an outbreak scenario of carbapenem-resistant (CR) Pseudomonas fluorescens bloodstream infections resulting from a deviation from the standardized CVC insertion procedure. This outbreak led to six episodes of catheter related bloodstream infection (CRBSI) in patients with hematologic malignancies, delaying their primary treatment. Nineteen patients were exposed, leading to an attack rate of 31.6%.

The impact of cancer metastases on COVID-19 outcomes: A COVID-19 and Cancer Consortium registry-based retrospective cohort study.

BACKGROUND: COVID-19 can have a particularly detrimental effect on patients with cancer, but no studies to date have examined if the presence, or site, of metastatic cancer is related to COVID-19 outcomes. METHODS: Using the COVID-19 and Cancer Consortium (CCC19) registry, the authors identified 10,065 patients with COVID-19 and cancer (2325 with and 7740 without metastasis at the time of COVID-19 diagnosis). The primary ordinal outcome was COVID-19 severity: not hospitalized, hospitalized but did not receive supplemental O2 , hospitalized and received supplemental O2 , admitted to an intensive care unit, received mechanical ventilation, or died from any cause. The authors used ordinal logistic regression models to compare COVID-19 severity by presence and specific site of metastatic cancer. They used logistic regression models to assess 30-day all-cause mortality. RESULTS: Compared to patients without metastasis, patients with metastases have increased hospitalization rates (59% vs. 49%) and higher 30 day mortality (18% vs. 9%). Patients with metastasis to bone, lung, liver, lymph nodes, and brain have significantly higher COVID-19 severity (adjusted odds ratios [ORs], 1.38, 1.59, 1.38, 1.00, and 2.21) compared to patients without metastases at those sites. Patients with metastasis to the lung have significantly higher odds of 30-day mortality (adjusted OR, 1.53; 95% confidence interval, 1.17-2.00) when adjusting for COVID-19 severity. CONCLUSIONS: Patients with metastatic cancer, especially with metastasis to the brain, are more likely to have severe outcomes after COVID-19 whereas patients with metastasis to the lung, compared to patients with cancer metastasis to other sites, have the highest 30-day mortality after COVID-19.

SARS-CoV-2 infection in health care workers during the first 2-years of the pandemic at a cancer hospital in Mexico.

BACKGROUND: Health care workers (HCWs) are occupationally exposed to severe acute respiratory syndrome coronavirus (SARS-CoV-2). This study aimed to characterize COVID-19 in HCWs at an oncology hospital in Mexico City over 2-years, identify factors associated with severity, and establish transmission dynamics. METHODS: This retrospective study included HCWs with confirmed COVID-19. Socio-demographic, clinical, and outcome data were retrieved from March 2020 to March 2022. We compared the proportion of HCWs affected in each wave. A survey on COVID-19 transmission dynamics was conducted in a subgroup. RESULTS: We included 1,058 workers. The risk of COVID-19 was higher during the Omicron odds ratio (OR 2.10, 95% confidence interval [CI] 1.77-2.50, P < .001). Age ≥41 years old (OR 6.32, 95% CI 2.4-16.62) and being administrative staff (OR 5.51, 95% CI 1.72-17.6) or medical staff (OR 6.82, CI 95% 1.77-26.23), compared to nursing staff, were associated with severity. Vaccination with ≥1 vaccine against SARS-CoV-2 was a protective factor for severe disease (OR 0.04, 95% CI 0.005-0.331). CONCLUSIONS: This study highlights the impact of COVID-19 on HCWs in a cancer hospital in Mexico City and the impact of vaccination as a protective factor against severity.

Prevalence of SARS-CoV-2 antibodies in cancer patients and healthcare workers vaccinated with two doses of BNT162b2 or AZD122. A propensity analysis.

BACKGROUND: Vaccination is the most effective intervention for reducing the burden of SARS-CoV-2-related disease; however, gaps in knowledge regarding cancer patients (CPs) immune response persist. OBJECTIVES: To evaluate the humoral response (anti-S antibodies) in CPs and healthcare workers (HCWs) vaccinated with two doses of BNT162b2 or AZD122 vaccines. MATERIAL AND METHODS: Polyspecific anti-SARS-CoV-2 spike protein (anti-S) antibodies were quantified, and a 1:1 propensity score was used to balance baseline characteristics. Multiple logistic regressions were carried out to evaluate the effect of humoral response-related variables. RESULTS: One-hundred and twenty-seven CPs (22%) and 439 HCWs (78%) were included. Both populations developed anti-S antibodies in response to vaccination. The mRNA-based vaccine (BNT162b2) was associated with higher odds of having anti-S antibody titers ≥ 1,000 U/mL, while active cancer was related to a lower probability of developing high antibody titers. CONCLUSIONS: The BNT162b2 vaccine was associated with a higher humoral response. It is necessary for more information and vaccination strategies to be available for immunosuppressed patients in order to select the best biologics for this population based on individual characteristics.

ANTECEDENTES: La vacunación es la intervención más efectiva para reducir la carga de enfermedad por SARS-CoV-2; sin embargo, persisten brechas en el conocimiento en relación con la respuesta inmunológica de los pacientes con cáncer (PC). OBJETIVOS: Evaluar la respuesta humoral (anticuerpos anti-S) en PC y trabajadores de salud (TS) vacunados con dos dosis de la vacuna BNT162b2 o AZD122. MATERIAL Y MÉTODOS: Se cuantificaron anticuerpos poliespecíficos contra la proteína de espiga de SARS-CoV-2 (anti-S) y se efectuó una puntuación de propensión 1:1 para equilibrar las características basales. Se realizaron regresiones logísticas múltiples para evaluar el efecto de las variables relacionadas con la respuesta humoral. RESULTADOS: Se incluyeron 127 PC (22 %) y 439 TS (78 %). Ambas poblaciones desarrollaron anticuerpos anti-S en respuesta a la vacunación. La vacuna de ARNm (BNT162b2) se asoció a mayor probabilidad de mostrar concentraciones de anticuerpos anti-S ≥ 1000 UI/mL, mientras que el cáncer activo se relacionó con menor probabilidad de presentar títulos altos de anticuerpos. CONCLUSIONES: La vacuna BNT162b2 se asoció a respuesta humoral mayor. Es necesario contar con más información y estrategias de vacunación en pacientes inmunosuprimidos. Es relevante la selección de los mejores biológicos para esta población y considerar las características individuales.

Systemic Anticancer Therapy and Thromboembolic Outcomes in Hospitalized Patients With Cancer and COVID-19.

Importance: Systematic data on the association between anticancer therapies and thromboembolic events (TEEs) in patients with COVID-19 are lacking. Objective: To assess the association between anticancer therapy exposure within 3 months prior to COVID-19 and TEEs following COVID-19 diagnosis in patients with cancer. Design, Setting, and Participants: This registry-based retrospective cohort study included patients who were hospitalized and had active cancer and laboratory-confirmed SARS-CoV-2 infection. Data were accrued from March 2020 to December 2021 and analyzed from December 2021 to October 2022. Exposure: Treatments of interest (TOIs) (endocrine therapy, vascular endothelial growth factor inhibitors/tyrosine kinase inhibitors [VEGFis/TKIs], immunomodulators [IMiDs], immune checkpoint inhibitors [ICIs], chemotherapy) vs reference (no systemic therapy) in 3 months prior to COVID-19. Main Outcomes and Measures: Main outcomes were (1) venous thromboembolism (VTE) and (2) arterial thromboembolism (ATE). Secondary outcome was severity of COVID-19 (rates of intensive care unit admission, mechanical ventilation, 30-day all-cause mortality following TEEs in TOI vs reference group) at 30-day follow-up. Results: Of 4988 hospitalized patients with cancer (median [IQR] age, 69 [59-78] years; 2608 [52%] male), 1869 had received 1 or more TOIs. Incidence of VTE was higher in all TOI groups: endocrine therapy, 7%; VEGFis/TKIs, 10%; IMiDs, 8%; ICIs, 12%; and chemotherapy, 10%, compared with patients not receiving systemic therapies (6%). In multivariable log-binomial regression analyses, relative risk of VTE (adjusted risk ratio [aRR], 1.33; 95% CI, 1.04-1.69) but not ATE (aRR, 0.81; 95% CI, 0.56-1.16) was significantly higher in those exposed to all TOIs pooled together vs those with no exposure. Among individual drugs, ICIs were significantly associated with VTE (aRR, 1.45; 95% CI, 1.01-2.07). Also noted were significant associations between VTE and active and progressing cancer (aRR, 1.43; 95% CI, 1.01-2.03), history of VTE (aRR, 3.10; 95% CI, 2.38-4.04), and high-risk site of cancer (aRR, 1.42; 95% CI, 1.14-1.75). Black patients had a higher risk of TEEs (aRR, 1.24; 95% CI, 1.03-1.50) than White patients. Patients with TEEs had high intensive care unit admission (46%) and mechanical ventilation (31%) rates. Relative risk of death in patients with TEEs was higher in those exposed to TOIs vs not (aRR, 1.12; 95% CI, 0.91-1.38) and was significantly associated with poor performance status (aRR, 1.77; 95% CI, 1.30-2.40) and active/progressing cancer (aRR, 1.55; 95% CI, 1.13-2.13). Conclusions and Relevance: In this cohort study, relative risk of developing VTE was high among patients receiving TOIs and varied by the type of therapy, underlying risk factors, and demographics, such as race and ethnicity. These findings highlight the need for close monitoring and perhaps personalized thromboprophylaxis to prevent morbidity and mortality associated with COVID-19-related thromboembolism in patients with cancer.

Molecular characterization and genotyping of isolates from cancer patients with Clostridioides difficile infection or asymptomatic colonization.

Introduction. Cancer patients with Clostridioides difficile infection (CDI) are at a higher risk for adverse outcomes. In addition, a high prevalence of Clostridioides difficile asymptomatic colonization (CDAC) has been reported in this vulnerable population.Gap Statement. The molecular characteristics and potential role of CDAC in healthcare-related transmission in the cancer population have been poorly explored.Aim. We aimed to compare the molecular and genotypic characteristics of C. difficile isolates from cancer patients with CDAC and CDI.Method. We conducted a prospective cohort study of cancer patients with CDAC or CDI from a referral centre. Molecular characterization, typification and tcdC gene expression of isolates were performed.Results. The hospital-onset and community-onset healthcare facility-associated CDI rates were 4.5 cases/10 000 patient-days and 1.4 cases/1 000 admissions during the study period. Fifty-one C. difficile strains were isolated: 37 (72 %) and 14 (28 %) from patients with CDI or CDAC, respectively. All isolates from symptomatic patients were tcdA+/tcdB+, and four (10 %) were ctdA+/ctdB+. In the CDAC group, 10 (71 %) isolates were toxigenic, and none were ctdA+/ctdB+. The Δ18 in-frame tcdC deletion and two transition mutations were found in five isolates. After bacterial typing, 60 % of toxigenic isolates from asymptomatic carriers were clonal to those from patients with C. difficile-associated diarrhoea. No NAP1/027/BI strains were detected.Conclusions. We found a clonal association between C. difficile isolates from patients with CDAC and CDI. Studies are needed to evaluate the potential role of asymptomatic carriers in the dynamics of nosocomial transmission to support infection control measures and reduce the burden of CDI in high-risk groups.

Mortality Prognosis Factors in Patients with Active Cancer Under Treatment, and Severe COVID-19.

BACKGROUND: COVID-19 is associated with systemic inflammation. This inflammatory response is further deregulated by oncological treatments increasing mortality in this population. However, there is conflicting information regarding the clinical factors that increase mortality in patients with severe COVID-19. OBJECTIVE: The aim of this study was to identify prognostic factors associated with mortality during severe COVID-19 in patients with active cancer. In addition, the correlation between oncologic codes and mortality related to severe COVID-19 was evaluated. PATIENTS AND METHODS: We analyzed a cohort of Mexican patients with active cancer and severe COVID-19 between March 2020 and February 2021. We collected information on patient demographic characteristics, COVID-19 symptoms, clinical and laboratory data, and treatments. Patients were classified according to oncologic code. We defined the oncological code based on clinical stage, treatment intention, performance status before COVID-19, and median overall survival with palliative treatment. A log-rank test was performed to determine survival. A multivariate logistic regression model was used to adjust for potential confounders. RESULTS: One hundred fifty-two patients with severe COVID-19 were analyzed. The red oncologic code was associated with an increased risk of mortality OR 22.8 (CI 95% 5.0-105.1, p <0.001), low oxygen saturation OR 5.4 (CI 95% 1.7-17.4, p = 0.005), chronic corticosteriod use OR 4.3 (CI 95% 1.0-18.1, p = 0.050) and high D-dimer level OR 3.2 (CI 95% 1.2-8.2, p = 0.019). CONCLUSIONS: The survival of patients with active cancer and severe COVID-19 was possible to identify, at the time of admission, specific oncological characteristics. Based on this code, decreased oxygen saturation, increased D-dimer levels, and chronic corticosteroid use were the main predictive factors related to mortality.

Prevalencia de anticuerpos contra SARS-CoV-2 en pacientes con cáncer y trabajadores de la salud vacunados con dos dosis de BNT162b2 o AZD122. Análisis de propensión / Prevalence of SARS-CoV-2 antibodies in cancer patients and healthcare workers vaccinated with two doses of BNT162b2 or AZD122. A propensity analysis

Resumen Antecedentes: La vacunación es la intervención más efectiva para reducir la carga de enfermedad por SARS-CoV-2; sin embargo, persisten brechas en el conocimiento en relación con la respuesta inmunológica de los pacientes con cáncer (PC). Objetivos: Evaluar la respuesta humoral (anticuerpos anti-S) en PC y trabajadores de salud (TS) vacunados con dos dosis de la vacuna BNT162b2 o AZD122. Material y métodos: Se cuantificaron anticuerpos poliespecíficos contra la proteína de espiga de SARS-CoV-2 (anti-S) y se efectuó una puntuación de propensión 1:1 para equilibrar las características basales. Se realizaron regresiones logísticas múltiples para evaluar el efecto de las variables relacionadas con la respuesta humoral. Resultados: Se incluyeron 127 PC (22 %) y 439 TS (78 %). Ambas poblaciones desarrollaron anticuerpos anti-S en respuesta a la vacunación. La vacuna de ARNm (BNT162b2) se asoció a mayor probabilidad de mostrar concentraciones de anticuerpos anti-S ≥ 1000 UI/mL, mientras que el cáncer activo se relacionó con menor probabilidad de presentar títulos altos de anticuerpos. Conclusiones: La vacuna BNT162b2 se asoció a respuesta humoral mayor. Es necesario contar con más información y estrategias de vacunación en pacientes inmunosuprimidos. Es relevante la selección de los mejores biológicos para esta población y considerar las características individuales.

Abstract Background: Vaccination is the most effective intervention for reducing the burden of SARS-CoV-2-related disease; however, gaps in knowledge regarding cancer patients (CPs) immune response persist. Objectives: To evaluate the humoral response (anti-S antibodies) in CPs and healthcare workers (HCWs) vaccinated with two doses of BNT162b2 or AZD122 vaccines. Material and methods: Polyspecific anti-SARS-CoV-2 spike protein (anti-S) antibodies were quantified, and a 1:1 propensity score was used to balance baseline characteristics. Multiple logistic regressions were carried out to evaluate the effect of humoral response-related variables. Results: One-hundred and twenty-seven CPs (22 %) and 439 HCWs (78 %) were included. Both populations developed anti-S antibodies in response to vaccination. The mRNA-based vaccine (BNT162b2) was associated with higher odds of having anti-S antibody titers ≥ 1,000 U/mL, while active cancer was related to a lower probability of developing high antibody titers. Conclusions: The BNT162b2 vaccine was associated with a higher humoral response. It is necessary for more information and vaccination strategies to be available for immunosuppressed patients in order to select the best biologics for this population based on individual characteristics.

Surgical site infection following pancreaticoduodenectomy in a referral cancer center in Mexico.

BACKGROUND: Pancreaticoduodenectomy is the standard treatment for resectable periampullary cancer. Surgical site infections (SSI) are common complications with increased morbidity. The study aimed to describe the prevalence, risk factors, microbiology, and outcomes of SSI among patients undergoing pancreaticoduodenectomy. METHODS: We conducted a retrospective study in a referral cancer center between January 2015 and June 2021. We analyzed baseline patient characteristics and SSI occurrence. Culture results and susceptibility patterns were described. Multivariate logistic regression was used to determine risk factors, proportional hazards model to evaluate mortality, and Kaplan-Meier analysis to assess long-term survival. RESULTS: A total of 219 patients were enrolled in the study; 101 (46%) developed SSI. Independent factors for SSI were diabetes mellitus, preoperative albumin level, biliary drainage, biliary prostheses, and clinically relevant postoperative pancreatic fistula. The main pathogens were Enterobacteria and Enterococci. Multidrug-resistance rate in SSI was high but not associated with increased mortality. Infected patients had higher odds of sepsis, longer hospital stay and intensive care unit stay, and readmission rate. Neither 30-day mortality nor long-term survival was significantly different between infected and non-infected patients. CONCLUSIONS: SSI prevalence among patients undergoing pancreaticoduodenectomy was high and largely caused by resistant microorganisms. Most risk factors were related to preoperative instrumentation of the biliary tree. SSI was associated with greater risk of unfavorable outcomes; however, survival was unaffected.

Impact of coronavirus disease 2019 (COVID-19) pandemic in hospital-acquired infections and bacterial resistance at an oncology hospital.

Objective: Hospital-acquired infection (HAI) rates were negatively affected by the the coronavirus disease 2019 (COVID-19) pandemic. We describe the incidence of HAIs, main pathogens, and multidrug-resistant organisms (MDROs) isolated in cancer patients before and during the pandemic. Design: This retrospective, comparative study included patients with HAIs. We compared 2 periods: the prepandemic period (2018, 2019, and the first 3 months of 2020) with the pandemic period (April-December 2020 and all of 2021). Setting: Instituto Nacional de Cancerología, a tertiary-care oncology public hospital in Mexico City, Mexico. Methods: Patients with the following HAIs were included: nosocomial pneumonia, ventilator-associated pneumonia (VAP), secondary bloodstream infection (BSI), central-line-associated bloodstream infection (CLBSI), and Clostridioides difficile infection (CDI). Demographic data, clinical characteristics, pathogens isolated, and MDRO data were included. Results: We identified 639 HAIs: 381 (7.95 per 100 hospital discharges) in the prepandemic period and 258 (7.17 per 100 hospital discharges) in the pandemic period. Hematologic malignancy was documented in 263 (44.3%) patients; 251 (39.2%) were in cancer progression or relapse. Nosocomial pneumonia was more frequent during the pandemic period (40.3% vs 32.3%; P = .04). Total episodes of VAP were not different between the 2 periods (28.1% vs 22.1%; P = .08), but during the pandemic period, the VAP rate was higher among COVID-19 patients than non-COVID-19 patients (72.2% vs 8.8%; P < .001). Escherichia coli, Stenotrophomonas maltophilia, and Staphylococcus aureus bacteremia cases were more frequent in the pandemic period. Extended-spectrum ß-lactamases (ESBL)-E. coli was the only MDRO that occurred more frequently during the pandemic period. Conclusions: In cancer patients, nosocomial pneumonia was more frequent during the pandemic period. We did not observe a significant impact on other HAIs. MDROs did not significantly increase during the pandemic.

Performance of Clostridioides difficile infection severity scores and risk factors related to 30-day all-cause mortality in patients with cancer.

PURPOSE: There are currently no standard definitions for assessing the severity of Clostridioides difficile infection (CDI) in cancer patients. We evaluated the performance of scoring systems for severity and analyzed risk factors for mortality in a cancer cohort. METHODS: We conducted an observational study in patients with cancer and CDI. We calculated the incidence of hospital-onset (HO-CDI) and community-onset health-care facility associated (CO-HCFA-CDI) episodes. We classified severity using five prognostic scales and calculated sensitivity, specificity, positive (PPV), and negative predictive values (NPV) for mortality and intensive care unit (ICU) admission. In addition, multivariate regression was performed to assess variables associated with mortality. RESULTS: The HO-CDI and CO-HCFA-CDI incidence rates were 3.7 cases/10,000 patient-days and 1.9 cases/1,000 admissions, respectively. ESCMID criteria showed the higher sensitivity (97%, 95% CI; 85-100%) and NPV (98%, 95% CI; 85-100%), while ATLAS (≥ 6 points) had the highest specificity (95%, 95% CI; 90-98%) for 30-day all-cause mortality; similar performance was observed for ICU admission. Characteristics associated with fatal outcome were neutropenia (≤ 100 cells/ml) (aOR; 3.03, 95% CI; 1.05-8.74, p = 0.040), male gender (aOR; 2.90, 95% CI; 1.08-7.80, p = 0.034), high serum creatinine (aOR; 1.71, 95% CI; 1.09-2.70, p = 0.020), and albumin (aOR; 0.17, 95% CI; 0.07-0.42, p < 0.001). CONCLUSIONS: Some of the current scales may not be appropriate to discriminate severity in patients with cancer. The variables in this study associated with unfavorable outcomes could be evaluated in prospective studies to develop prognostic scores that identify susceptible patients, especially in immunocompromised populations.

SARS-CoV-2 Genome Variations in Viral Shedding of an Immunocompromised Patient with Non-Hodgkin's Lymphoma.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing coronavirus disease 2019 (COVID-19) is the most transmissible ß-coronavirus in history, affecting all population groups. Immunocompromised patients, particularly cancer patients, have been highlighted as a reservoir to promote accumulation of viral mutations throughout persistent infection. CASE PRESENTATION: We aimed to describe the clinical course and SARS-CoV-2 mutation profile for 102 days in an immunocompromised patient with non-Hodgkin's lymphoma and COVID-19. We used RT-qPCR to quantify SARS-CoV-2 viral load over time and whole-virus genome sequencing to identify viral lineage and mutation profile. The patient presented with a persistent infection through 102 days while being treated with cytotoxic chemotherapy for non-Hodgkin's lymphoma and received targeted therapy for COVID-19 with remdesivir and hyperimmune plasma. All sequenced samples belonged to the BA.1.1 lineage. We detected nine amino acid substitutions in five viral genes (Nucleocapsid, ORF1a, ORF1b, ORF13a, and ORF9b), grouped in two clusters: the first cluster with amino acid substitutions only detected on days 39 and 87 of sample collection, and the second cluster with amino acid substitutions only detected on day 95 of sample collection. The Spike gene remained unchanged in all samples. Viral load was dynamic but consistent with the disease flares. CONCLUSIONS: This report shows that the multiple mutations that occur in an immunocompromised patient with persistent COVID-19 could provide information regarding viral evolution and emergence of new SARS-CoV-2 variants.