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1.
J Natl Cancer Inst ; 114(7): 979-987, 2022 07 11.
Article in English | MEDLINE | ID: covidwho-1853114

ABSTRACT

BACKGROUND: Fifteen percent of patients with cancer experience symptomatic sequelae, which impair post-COVID-19 outcomes. In this study, we investigated whether a proinflammatory status is associated with the development of COVID-19 sequelae. METHODS: OnCovid recruited 2795 consecutive patients who were diagnosed with Severe Acute Respiratory Syndrome Coronavirus 2 infection between February 27, 2020, and February 14, 2021. This analysis focused on COVID-19 survivors who underwent a clinical reassessment after the exclusion of patients with hematological malignancies. We evaluated the association of inflammatory markers collected at COVID-19 diagnosis with sequelae, considering the impact of previous systemic anticancer therapy. All statistical tests were 2-sided. RESULTS: Of 1339 eligible patients, 203 experienced at least 1 sequela (15.2%). Median baseline C-reactive protein (CRP; 77.5 mg/L vs 22.2 mg/L, P < .001), lactate dehydrogenase (310 UI/L vs 274 UI/L, P = .03), and the neutrophil to lymphocyte ratio (NLR; 6.0 vs 4.3, P = .001) were statistically significantly higher among patients who experienced sequelae, whereas no association was reported for the platelet to lymphocyte ratio and the OnCovid Inflammatory Score, which includes albumin and lymphocytes. The widest area under the ROC curve (AUC) was reported for baseline CRP (AUC = 0.66, 95% confidence interval [CI]: 0.63 to 0.69), followed by the NLR (AUC = 0.58, 95% CI: 0.55 to 0.61) and lactate dehydrogenase (AUC = 0.57, 95% CI: 0.52 to 0.61). Using a fixed categorical multivariable analysis, high CRP (odds ratio [OR] = 2.56, 95% CI: 1.67 to 3.91) and NLR (OR = 1.45, 95% CI: 1.01 to 2.10) were confirmed to be statistically significantly associated with an increased risk of sequelae. Exposure to chemotherapy was associated with a decreased risk of sequelae (OR = 0.57, 95% CI: 0.36 to 0.91), whereas no associations with immune checkpoint inhibitors, endocrine therapy, and other types of systemic anticancer therapy were found. CONCLUSIONS: Although the association between inflammatory status, recent chemotherapy and sequelae warrants further investigation, our findings suggest that a deranged proinflammatory reaction at COVID-19 diagnosis may predict for sequelae development.


Subject(s)
COVID-19 , C-Reactive Protein/analysis , COVID-19/complications , COVID-19/epidemiology , COVID-19 Testing , Disease Progression , Humans , Lactate Dehydrogenases , Lymphocytes/chemistry , Neutrophils/chemistry , Prognosis , ROC Curve , Registries , Retrospective Studies
2.
J Immunother Cancer ; 9(3)2021 03.
Article in English | MEDLINE | ID: covidwho-1147333

ABSTRACT

BACKGROUND: Patients with cancer are particularly susceptible to SARS-CoV-2 infection. The systemic inflammatory response is a pathogenic mechanism shared by cancer progression and COVID-19. We investigated systemic inflammation as a driver of severity and mortality from COVID-19, evaluating the prognostic role of commonly used inflammatory indices in SARS-CoV-2-infected patients with cancer accrued to the OnCovid study. METHODS: In a multicenter cohort of SARS-CoV-2-infected patients with cancer in Europe, we evaluated dynamic changes in neutrophil:lymphocyte ratio (NLR); platelet:lymphocyte ratio (PLR); Prognostic Nutritional Index (PNI), renamed the OnCovid Inflammatory Score (OIS); modified Glasgow Prognostic Score (mGPS); and Prognostic Index (PI) in relation to oncological and COVID-19 infection features, testing their prognostic potential in independent training (n=529) and validation (n=542) sets. RESULTS: We evaluated 1071 eligible patients, of which 625 (58.3%) were men, and 420 were patients with malignancy in advanced stage (39.2%), most commonly genitourinary (n=216, 20.2%). 844 (78.8%) had ≥1 comorbidity and 754 (70.4%) had ≥1 COVID-19 complication. NLR, OIS, and mGPS worsened at COVID-19 diagnosis compared with pre-COVID-19 measurement (p<0.01), recovering in survivors to pre-COVID-19 levels. Patients in poorer risk categories for each index except the PLR exhibited higher mortality rates (p<0.001) and shorter median overall survival in the training and validation sets (p<0.01). Multivariable analyses revealed the OIS to be most independently predictive of survival (validation set HR 2.48, 95% CI 1.47 to 4.20, p=0.001; adjusted concordance index score 0.611). CONCLUSIONS: Systemic inflammation is a validated prognostic domain in SARS-CoV-2-infected patients with cancer and can be used as a bedside predictor of adverse outcome. Lymphocytopenia and hypoalbuminemia as computed by the OIS are independently predictive of severe COVID-19, supporting their use for risk stratification. Reversal of the COVID-19-induced proinflammatory state is a putative therapeutic strategy in patients with cancer.


Subject(s)
COVID-19 Drug Treatment , Neoplasms/virology , Systemic Inflammatory Response Syndrome/etiology , Adult , Aged , Aged, 80 and over , Blood Cell Count , COVID-19/complications , COVID-19/mortality , COVID-19 Testing , Comorbidity , Female , Humans , Male , Middle Aged , Multivariate Analysis , Neoplasms/epidemiology , Prognosis , Systemic Inflammatory Response Syndrome/virology , Young Adult
3.
Clin Rheumatol ; 40(5): 2057-2063, 2021 May.
Article in English | MEDLINE | ID: covidwho-1118235

ABSTRACT

OBJECTIVE: To evaluate the incidence and characteristics of SARS-CoV-2 infection among patients with systemic lupus erythematosus (SLE) and to compare it to that described in the general population. METHODS: For 5 weeks, we carried out a cross-sectional study consisting of telephone interviews of SLE patients. We collected epidemiological data, symptoms suggesting COVID-19, results of nasopharyngeal swabs, and ongoing treatments. In those patients who required hospital admission, clinical, radiological, and laboratory features, and outcome were investigated. RESULTS: Four hundred patients with SLE completed the survey. Overall, 4 (1.00%, 95%CI 0.02-1.98) patients were classified as confirmed cases of COVID-19 and 26 (6.51%, 95%CI 4.08-8.94) as possible clinical cases. The incidence of confirmed cases in our series was similar to that of the Catalan population (1.00% versus 0.63%; p = 0.456), whereas the incidence of possible cases was higher in our series (6.51% versus 1.29%; p < 0.005). The only difference between SLE patients with confirmed and possible COVID-19 and those without was the percentage of patients who have had contact with a confirmed or possible case of COVID-19 (26.7% versus 9.2%; p = 0.003) CONCLUSIONS: The incidence of COVID-19 in SLE patients with inactive disease is low and, in our series, all cases with confirmed infection recovered. Key Points • In a cohort of SLE patients with stable and clinical inactive disease, the incidence of COVID-19 is low. • All SLE patients with confirmed SARS-CoV-2 infection recovered.


Subject(s)
COVID-19 , Lupus Erythematosus, Systemic , Cross-Sectional Studies , Humans , Lupus Erythematosus, Systemic/complications , Lupus Erythematosus, Systemic/epidemiology , SARS-CoV-2 , Spain/epidemiology
4.
Cancers (Basel) ; 12(7)2020 Jul 08.
Article in English | MEDLINE | ID: covidwho-639970

ABSTRACT

We describe the outcomes in cancer patients during the initial outbreak of the COVID-19 in Europe from the retrospective, multi-center observational OnCovid study. We identified 204 cancer patients from eight centers in the United Kingdom, Italy, and Spain aged > 18 (mean = 69) and diagnosed with COVID-19 between February 26th and April 1st, 2020. A total of 127 (62%) were male, 184 (91%) had a diagnosis of solid malignancy, and 103 (51%) had non-metastatic disease. A total of 161 (79%) had > 1 co-morbidity. A total of 141 (69%) patients had > 1 COVID-19 complication. A total of 36 (19%) were escalated to high-dependency or intensive care. A total of 59 (29%) died, 53 (26%) were discharged, and 92 (45%) were in-hospital survivors. Mortality was higher in patients aged > 65 (36% versus 16%), in those with > 2 co-morbidities (40% versus 18%) and developing > 1 complication from COVID-19 (38% versus 4%, p = 0.004). Multi-variable analyses confirmed age > 65 and > 2 co-morbidities to predict for patient mortality independent of tumor stage, active malignancy, or anticancer therapy. During the early outbreak of SARS-CoV-2 infection in Europe co-morbid burden and advancing age predicted for adverse disease course in cancer patients. The ongoing OnCovid study will allow us to compare risks and outcomes in cancer patients between the initial and later stages of the COVID-19 pandemic.

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