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1.
Rev Argent Microbiol ; 54(3): 247-257, 2022.
Article in English | MEDLINE | ID: covidwho-1977764

ABSTRACT

Bacterial co-pathogens are commonly identified in viral respiratory infections and are important causes of morbid-mortality. The prevalence of Chlamydia (C.) pneumoniae infection in patients infected with SARS-CoV-2 has not been sufficiently studied. The objective of the present review was to describe the prevalence of C. pneumoniae in patients with coronavirus disease 2019 (COVID-19). A search in MEDLINE and Google Scholar databases for English language literature published between January 2020 and August 2021 was performed. Studies evaluating patients with confirmed COVID-19 and reporting the simultaneous detection of C. pneumoniae were included. Eleven articles were included in the systematic review (5 case cross-sectional studies and 6 retrospective studies). A total of 18450 patients were included in the eleven studies. The detection of laboratory-confirmed C. pneumoniae infection varied between 1.78 and 71.4% of the total number of co-infections. The median age of patients ranged from 35 to 71 years old and 65% were male. Most of the studies reported one or more pre-existing comorbidities and the majority of the patients presented with fever, cough and dyspnea. Lymphopenia and eosinopenia were described in COVID-19 co-infected patients. The main chest CT scan showed a ground glass density shadow, consolidation and bilateral pneumonia. Most patients received empirical antibiotics. Bacterial co-infection was not associated with increased ICU admission and mortality. Despite frequent prescription of broad-spectrum empirical antimicrobials in patients with coronavirus 2-associated respiratory infections, there is a paucity of data to support the association with respiratory bacterial co-infection. Prospective evidence generation to support the development of an antimicrobial policy and appropriate stewardship interventions specific for the COVID-19 pandemic are urgently required.


Subject(s)
Anti-Infective Agents , Bacterial Infections , COVID-19 , Chlamydophila pneumoniae , Coinfection , Adult , Aged , Anti-Bacterial Agents , Bacterial Infections/epidemiology , Coinfection/epidemiology , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Pandemics , Prospective Studies , Retrospective Studies , SARS-CoV-2
2.
Revista Argentina de microbiologia ; 2022.
Article in Spanish | EuropePMC | ID: covidwho-1897782

ABSTRACT

Los patógenos bacterianos pueden detectarse en las infecciones respiratorias virales y son una causa importante de morbimortalidad. La prevalencia de Chlamydia pneumoniae en pacientes infectados con SARS-CoV-2 ha sido poco estudiada. El objetivo de la presente revisión fue describir la prevalencia de C. pneumoniae en pacientes con enfermedad por coronavirus 2019 (COVID-19). Para ello se realizó una búsqueda bibliográfica en MEDLINE y Google Académico, entre enero de 2020 y agosto de 2021. De la revisión surgieron 11 artículos (5 estudios de casos transversales y 6 estudios retrospectivos), que incluyeron un total de 18.450 pacientes. La detección de C. pneumoniae varió entre el 1,78 y 71,4% del total de las coinfecciones. La media de edad de los pacientes osciló entre los 35 y 71 años y el 65% fueron hombres. En la mayoría de los estudios se informaron comorbilidades preexistentes y la mayor parte de los pacientes presentó fiebre, tos y disnea. Además, se describió linfopenia y eosinofilopenia en pacientes con COVID-19 coinfectados. La principal manifestación en la tomografía computarizada fue densidad de vidrio esmerilado, consolidación y neumonía bilateral. La mayoría de los pacientes recibió antibióticos de manera empírica. La coinfección bacteriana no se asoció con un aumento de ingresos en cuidados intensivos ni mortalidad. A pesar de la prescripción de antimicrobianos empíricos en pacientes con infecciones respiratorias asociadas a coronavirus, existen pocos reportes de detección de coinfección bacteriana. Es necesario generar evidencia para el desarrollo de políticas antimicrobianas e intervenciones de administración apropiadas y específicas en la pandemia de COVID-19.

3.
J Acquir Immune Defic Syndr ; 89(Suppl 1): S65-S72, 2022 Feb 01.
Article in English | MEDLINE | ID: covidwho-1722746

ABSTRACT

BACKGROUND: Resilience is defined as an individual's positive adaptation to stressors. The COVID-19 pandemic represents a generalized stressor which may affect differently people living with HIV (PLWH). The objective of this study was to characterize resilience in PLWH with particular regarding the identification of frailty-resilience phenotypes, which may differently affect health-related quality of life (HR-QoL). METHODS: This was an observational study of PLWH attending Modena HIV Metabolic Clinic. Frailty was assessed in 2019, before the onset of the COVID-19 pandemic by using 37-Item frailty index ranging from 0 to 1. The frailty index score was categorized as fit (<0.25) or frail (>0.25). In January 2021, PLWH were offered to complete a set of electronic questionnaires including the CD-RISC-25 for resilience and EQ-5D5L and SF-36 for HR-QoL. Resilience was defined as CD-RISC-25 score >75.7 (ranging from 0 to 100). RESULTS: Of 800 PLWH reached by mail, 575 (72%) completed the questionnaires. The median age and HIV duration were 54.5 and 24.3 years, respectively. Impaired resilience was associated with loneliness [odds ratio (OR = 2.39; 1.20 to 4.76, P < 0.001)]. Predictors for EQ-5D5L <89.7% were the phenotypes "frail/nonresilient" [OR = 5.21, 95% confidence interval (CI): 2.62 to 10.33] and "fit/nonresilient" (OR = 5.48, 95% CI: 2.8 to 10.74). Predictors for SF-36 <64.40 were the phenotypes "frail/nonresilient" (OR = 7.43, 95% CI: 2.57 to 21.22) and "fit/nonresilient" (OR = 6.27, 95% CI: 2.17 to 18.16). Both models were corrected for age, sex, HIV duration, and nadir CD4. CONCLUSIONS: Resilience characterizes the well-being of PLWH during the COVID-19 crisis. This construct is complementary to frailty in the identification of clinical phenotypes with different impacts on HR-QoL.


Subject(s)
Aging , COVID-19/psychology , Frail Elderly/psychology , Frailty/psychology , HIV Infections/psychology , Quality of Life/psychology , Resilience, Psychological , Aged , COVID-19/epidemiology , Cross-Sectional Studies , Female , HIV Infections/complications , HIV Infections/drug therapy , Humans , Male , Pandemics , SARS-CoV-2
4.
Open Forum Infect Dis ; 9(3): ofac003, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1684767

ABSTRACT

BACKGROUND: A proposal has recently been advanced to change the traditional definition of nonalcoholic fatty liver disease to metabolic-associated fatty liver disease (MAFLD), to reflect the cluster of metabolic abnormalities that may be more closely associated with cardiovascular risk. Long coronavirus disease 2019 (COVID-19) is a smoldering inflammatory condition, characterized by several symptom clusters. This study aims to determine the prevalence of MAFLD in patients with postacute COVID syndrome (PACS) and its association with other PACS-cluster phenotypes. METHODS: We included 235 patients observed at a single university outpatient clinic. The diagnosis of PACS was based on ≥1 cluster of symptoms: respiratory, neurocognitive, musculoskeletal, psychological, sensory, and dermatological. The outcome was prevalence of MAFLD detected by transient elastography during the first postdischarge follow-up outpatient visit. The prevalence of MAFLD at the time of hospital admission was calculated retrospectively using the hepatic steatosis index. RESULTS: Of 235 patients, 162 (69%) were men (median age 61). The prevalence of MAFLD was 55.3% at follow-up and 37.3% on admission (P < .001). Insulin resistance (odds ratio [OR] = 1.5; 95% confidence interval [CI], 1.14-1.96), body mass index (OR = 1.14; 95% CI, 1.04-1.24), and the metabolic syndrome (OR = 2.54; 95% CI, 1.13-5.68) were independent predictors of MAFLD. The number of PACS clusters was inversely associated with MAFLD (OR = 0.86; 95% CI, .76-0.97). Thirty-one patients (13.2%) had MAFLD with no other associated PACS clusters. All correlations between MAFLD and other PACS clusters were weak. CONCLUSIONS: Metabolic-associated fatty liver disease was highly prevalent after hospital discharge and may represent a specific PACS-cluster phenotype, with potential long-term metabolic and cardiovascular health implications.

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