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1.
J Crit Care ; 71: 154069, 2022 10.
Artigo em Inglês | MEDLINE | ID: mdl-35667275

RESUMO

PURPOSE: To evaluate Red blood cell distribution width (RDW) as a sepsis prognostic biomarker. METHODS: 203 septic patients admitted to the ICU. Analysis of RDW dynamics, hospital mortality discrimination ability and the added value when incorporated to the SOFA, LODS, SAPS-II and APACHE-II scores using the AUC-ROC. RESULTS: Non-survivors presented higher RDW values during the first week after ICU admission (p = 0.048). Only SOFA and RDW were independently associated with mortality when adjusted by Charlson, immunosuppression, nosocomial infection, NEWS2, SAPS-II, septic shock and haemoglobin (p < 0.05). After adjustment, AUC-ROC was 0.827, 0.822, 0.824, 0.834 and 0.812 for each model including admission, 24, 48 and 72-h and 7-days RDW, respectively. When added to the scores, 24-h RDW and admission RDW improved their discrimination ability (SOFA AUC-ROC = 0.772 vs 0.812 SOFA + admission RDW, p = 0.041; LODS AUC-ROC = 0.687 vs 0.710, p = 0.002; SAPS-II AUC-ROC = 0.734 vs 0.785, p = 0.021; APACHE-II AUC-ROC = 0.672 vs 0.755, p = 0.003). Admission RDW with SOFA presented the better discrimination ability for mortality. CONCLUSION: RDW is an independent prognostic marker of death in septic patients admitted in the ICU that improves SOFA, LODS, APACHE-II and SAPS-II discrimination ability. This parameter could be incorporated to the prognostic scores as a marker of systemic dysfunction and dysregulated inflammatory response.


Assuntos
Sepse , Eritrócitos , Humanos , Unidades de Terapia Intensiva , Prognóstico , Curva ROC , Estudos Retrospectivos
2.
J Fungi (Basel) ; 8(2)2022 Feb 06.
Artigo em Inglês | MEDLINE | ID: mdl-35205914

RESUMO

Introduction: Cytomegalovirus (CMV) infection is a well-known factor associated with invasive aspergillosis in immunocompromised hosts. However, its association with COVID-19-associated pulmonary aspergillosis (CAPA) has not been described. We aimed to examine the possible link between CMV replication and CAPA occurrence. Methods: A single-center, retrospective case-control study was conducted. A case was defined as a patient diagnosed with CAPA according to 2020 ECMM/ISHAM consensus criteria. Two controls were selected for each case among critically ill COVID-19 patients. Results: In total, 24 CAPA cases were included, comprising 14 possible CAPA and 10 probable CAPA. Additionally, 48 matched controls were selected. CMV replication was detected more frequently in CAPA than in controls (75.0% vs. 35.4%, p = 0.002). Probable CMV end-organ disease was more prevalent in CAPA (20.8% vs. 4.2%, p = 0.037). After adjusting for possible confounding factors, CMV replication persisted strongly associated with CAPA (OR 8.28 95% CI 1.90-36.13, p = 0.005). Among 11 CAPA cases with CMV PCR available prior to CAPA, in 9 (81.8%) cases, CMV replication was observed prior to CAPA diagnosis. Conclusions: Among critically ill COVID-19 patients, CMV replication was associated with CAPA and could potentially be considered a harbinger of CAPA. Further studies are needed to confirm this association.

3.
Mycoses ; 65(5): 541-550, 2022 May.
Artigo em Inglês | MEDLINE | ID: mdl-35212030

RESUMO

BACKGROUND: COVID-19-associated pulmonary aspergillosis (CAPA) is a major complication of critically ill COVID-19 patients, with a high mortality rate and potentially preventable. Thus, identifying patients at high risk of CAPA would be of great interest. We intended to develop a clinical prediction score capable of stratifying patients according to the risk for CAPA at ICU admission. METHODS: Single centre retrospective case-control study. A case was defined as a patient diagnosed with CAPA according to 2020 ECMM/ISHAM consensus criteria. 2 controls were selected for each case among critically ill COVID-19 patients. RESULTS: 28 CAPA patients and 56-matched controls were included. Factors associated with CAPA included old age (68 years vs. 62, p = .033), active smoking (17.9% vs. 1.8%, p = .014), chronic respiratory diseases (48.1% vs. 26.3%, p = .043), chronic renal failure (25.0% vs. 3.6%, p = .005), chronic corticosteroid treatment (28.6% vs. 1.8%, p < .001), tocilizumab therapy (92.9% vs. 66.1%, p = .008) and high APACHE II at ICU admission (median 13 vs. 10 points, p = .026). A score was created including these variables, which showed an area under the receiver operator curve of 0.854 (95% CI 0.77-0.92). A punctuation below 6 had a negative predictive value of 99.6%. A punctuation of 10 or higher had a positive predictive value of 27.9%. CONCLUSION: We present a clinical prediction score that allowed to stratify critically ill COVID-19 patients according to the risk for developing CAPA. This CAPA score would allow to target preventive measures. Further evaluation of the score, as well as the utility of these targeted preventive measures, is needed.


Assuntos
COVID-19 , Aspergilose Pulmonar Invasiva , Aspergilose Pulmonar , Idoso , COVID-19/complicações , Estudos de Casos e Controles , Estado Terminal , Humanos , Unidades de Terapia Intensiva , Aspergilose Pulmonar Invasiva/complicações , Aspergilose Pulmonar Invasiva/diagnóstico , Aspergilose Pulmonar Invasiva/tratamento farmacológico , Aspergilose Pulmonar/complicações , Estudos Retrospectivos , Fatores de Risco , SARS-CoV-2
4.
Int J Infect Dis ; 116: 339-343, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-35074517

RESUMO

OBJECTIVES: The aim of the study was to analyze the mortality and characteristics of deceased patients with COVID-19 during the first year of the pandemic. METHODS: All admissions owing to COVID-19 at a tertiary hospital in Madrid were analyzed. Three waves were considered: March 2020 to June 2020, July 2020 to November 2020, and December 2020 to April 2021. RESULTS: A total of 3,676 patients were identified. Among inpatients, no differences regarding age, sex, length of admission, or mortality were found between the 3 waves (p >0.05). The overall mortality rate was 12.9%. Among deceased patients, the median age was 82 years and the median Charlson Comorbidity Index was 6. Considering the main predictors for mortality by COVID-19 (age, sex, and concomitant comorbidities), only patients with previous lung disease were more prevalent in the third period (p <0.01). Finally, higher intensive care unit admission rates, a lower rate of patients coming from nursing homes, and a lower rate of patients with dementia were noted in the third period (p <0.05) among deceased patients. CONCLUSION: One year after the onset of the pandemic, the mortality rate of hospitalized patients and the profile of non-survivors have not changed significantly. In the absence of vaccine benefits, advanced age and multiple pathologies are uniform characteristics of non-survivors.


Assuntos
COVID-19 , Idoso de 80 Anos ou mais , COVID-19/prevenção & controle , Comorbidade , Mortalidade Hospitalar , Humanos , Pandemias/prevenção & controle , Estudos Retrospectivos , SARS-CoV-2 , Vacinação
5.
Artigo em Inglês | MEDLINE | ID: mdl-32571831

RESUMO

Evidence to support the use of steroids in coronavirus disease 2019 (COVID-19) pneumonia is lacking. We aim to determine the impact of steroid use for COVID-19 pneumonia on hospital mortality. We performed a single-center retrospective cohort study in a university hospital in Madrid, Spain, during March of 2020. To determine the role of steroids in in-hospital mortality, patients admitted with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia and treated with steroids were compared to patients not treated with steroids, and we adjusted with a propensity score for patients on steroid treatment. Survival times were compared using the log rank test. Different steroid regimens were compared and adjusted with a second propensity score. During the study period, 463 out of 848 hospitalized patients with COVID-19 pneumonia fulfilled inclusion criteria. Among them, 396 (46.7%) patients were treated with steroids and 67 patients were not. Global mortality was 15.1%. The median time to steroid treatment from symptom onset was 10 days (interquartile range [IQR], 8 to 13 days). In-hospital mortality was lower in patients treated with steroids than in controls (13.9% [55/396] versus 23.9% [16/67]; hazard ratio [HR], 0.51 [95% confidence interval, 0.27 to 0.96]; P = 0.044). Steroid treatment reduced mortality by 41.8% relative to the mortality with no steroid treatment (relative risk reduction, 0.42 [95% confidence interval, 0.048 to 0.65]). Initial treatment with 1 mg/kg of body weight/day of methylprednisolone versus steroid pulses was not associated with in-hospital mortality (13.5% [42/310] versus 15.1% [13/86]; odds ratio [OR], 0.880 [95% confidence interval, 0.449 to 1.726]; P = 0.710). Our results show that the survival of patients with SARS-CoV-2 pneumonia is higher in patients treated with glucocorticoids than in those not treated. Rates of in-hospital mortality were not different between initial regimens of 1 mg/kg/day of methylprednisolone and glucocorticoid pulses.


Assuntos
Antivirais/uso terapêutico , Azitromicina/uso terapêutico , Betacoronavirus/efeitos dos fármacos , Infecções por Coronavirus/tratamento farmacológico , Hidroxicloroquina/uso terapêutico , Interferons/uso terapêutico , Lopinavir/uso terapêutico , Metilprednisolona/uso terapêutico , Pneumonia Viral/tratamento farmacológico , Ritonavir/uso terapêutico , Idoso , Betacoronavirus/imunologia , Betacoronavirus/patogenicidade , COVID-19 , Doenças Cardiovasculares/tratamento farmacológico , Doenças Cardiovasculares/imunologia , Doenças Cardiovasculares/mortalidade , Doenças Cardiovasculares/virologia , Comorbidade , Infecções por Coronavirus/imunologia , Infecções por Coronavirus/mortalidade , Infecções por Coronavirus/virologia , Diabetes Mellitus/tratamento farmacológico , Diabetes Mellitus/imunologia , Diabetes Mellitus/mortalidade , Diabetes Mellitus/virologia , Esquema de Medicação , Combinação de Medicamentos , Quimioterapia Combinada , Dislipidemias/tratamento farmacológico , Dislipidemias/imunologia , Dislipidemias/mortalidade , Dislipidemias/virologia , Feminino , Hospitais Universitários , Humanos , Unidades de Terapia Intensiva , Tempo de Internação/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Neoplasias/tratamento farmacológico , Neoplasias/imunologia , Neoplasias/mortalidade , Neoplasias/virologia , Pandemias , Pneumonia Viral/imunologia , Pneumonia Viral/mortalidade , Pneumonia Viral/virologia , Estudos Retrospectivos , SARS-CoV-2 , Análise de Sobrevida
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