scholarly journals Clinical Features and Death Risk Factors in COVID-19 Patients with Cancer: A Retrospective Study

2021 ◽  
Author(s):  
Yi Zhou ◽  
Qiao Yang ◽  
Jun Ye ◽  
Xiaocheng Wu ◽  
Xianhua Hou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Retrospective Study ◽  
Clinical Features ◽  
C Reactive Protein ◽  
Propensity Score Matching Analysis ◽  
Patients With Cancer ◽  
Reactive Protein ◽  
Related Risk ◽  
Laboratory Results ◽  
Severe Group

Abstract Purpose: Coronavirus disease 2019 (COVID-19) has spread around the world. This retrospective study aims to analyze the clinical features of COVID-19 patients with cancer and identify death outcome related risk factors.Methods: From February 10th to April 15th, 2020, 103 COVID-19 patients with cancer were enrolled. Difference analyses were performed between severe and non-severe patients. A propensity score matching analysis, including 103 COVID-19 patients with cancer and 206 matched non-cancer COVID-19 patients were performed. Next, we identified death related risk factors and developed a nomogram for predicting the probability.Results: In 103 COVID-19 patients with cancer, the main cancer categories were breast cancer, lung cancer and bladder cancer. Compared to non-severe patients, severe patients had a higher median age, and a higher proportion of smokers, diabetes, heart disease and dyspnea. In addition, most of the laboratory results between two groups were significant different. PSM analysis found that the proportion of dyspnea was much higher in COVID-19 patients with cancer. The severity incidence in two groups were similar, while a much higher mortality was found in COVID-19 patients with cancer compared to that in COVID-19 patients without cancer (11.7% vs. 4.4%, P = 0.028). Furthermore, we found that neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) were related to death outcome. And a nomogram based on the factors was developed.Conclusion: In COVID-19 patients with cancer, the clinical features and laboratory results between severe group and non-severe group were significant different. NLR and CRP were the risk factors that could predict death outcome.

scholarly journals Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yi Zhou ◽  
Qiao Yang ◽  
Jun Ye ◽  
Xiaocheng Wu ◽  
Xianhua Hou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Retrospective Study ◽  
Clinical Features ◽  
C Reactive Protein ◽  
Patients With Cancer ◽  
Reactive Protein ◽  
Related Risk ◽  
The World ◽  
Laboratory Results ◽  
Severe Group

Abstract Background Coronavirus disease 2019 (COVID-19) has spread around the world. This retrospective study aims to analyze the clinical features of COVID-19 patients with cancer and identify death outcome related risk factors. Methods From February 10th to April 15th, 2020, 103 COVID-19 patients with cancer were enrolled. Difference analyses were performed between severe and non-severe patients. A propensity score matching (PSM) analysis was performed, including 103 COVID-19 patients with cancer and 206 matched non-cancer COVID-19 patients. Next, we identified death related risk factors and developed a nomogram for predicting the probability. Results In 103 COVID-19 patients with cancer, the main cancer categories were breast cancer, lung cancer and bladder cancer. Compared to non-severe patients, severe patients had a higher median age, and a higher proportion of smokers, diabetes, heart disease and dyspnea. In addition, most of the laboratory results between two groups were significantly different. PSM analysis found that the proportion of dyspnea was much higher in COVID-19 patients with cancer. The severity incidence in two groups were similar, while a much higher mortality was found in COVID-19 patients with cancer compared to that in COVID-19 patients without cancer (11.7% vs. 4.4%, P = 0.028). Furthermore, we found that neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) were related to death outcome. And a nomogram based on the factors was developed. Conclusion In COVID-19 patients with cancer, the clinical features and laboratory results between severe group and non-severe group were significantly different. NLR and CRP were the risk factors that could predict death outcome.

Complications and risk factors for severe outcome in children with measles

2019 ◽  
Vol 105 (9) ◽  
pp. 896-899 ◽  
Author(s):  
Andrea Lo Vecchio ◽  
Andrzej Krzysztofiak ◽  
Carlotta Montagnani ◽  
Piero Valentini ◽  
Nadia Rossi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Retrospective Study ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Multivariable Analysis ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Operating Characteristic Curve ◽  
Organ Complications

Objective and designRisk factors for severe measles are poorly investigated in high-income countries. The Italian Society for Paediatric Infectious Diseases conducted a retrospective study in children hospitalised for measles from January 2016 to August 2017 to investigate the risk factors for severe outcome defined by the presence of long-lasting sequelae, need of intensive care or death.ResultsNineteen hospitals enrolled 249 children (median age 14.5 months): 207 (83%) children developed a complication and 3 (1%) died. Neutropaenia was more commonly reported in children with B3-genotype compared with other genotypes (29.5% vs 7.7%, p=0.01). Pancreatitis (adjusted OR [aOR] 9.19, p=0.01) and encephalitis (aOR 7.02, p=0.04) were related to severe outcome in multivariable analysis, as well as C reactive protein (CRP) (aOR 1.1, p=0.028), the increase of which predicted severe outcome (area under the receiver operating characteristic curve 0.67, 95% CI 0.52 to 0.82). CRP values >2 mg/dL were related to higher risk of complications (OR 2.0, 95% CI 1.15 to 3.7, p=0.01) or severe outcome (OR 4.13, 95% CI 1.43 to 11.8, p<0.01).ConclusionThe risk of severe outcome in measles is independent of age and underlying conditions, but is related to the development of organ complications and may be predicted by CRP value.

Patient-related Risk Factors for Nausea and Vomiting With Standard Antiemetics in Patients With Cancer Receiving Carboplatin: A Retrospective Study

2020 ◽  
Vol 42 (10) ◽  
pp. 1975-1982
Author(s):  
Izumi Nasu ◽  
Rena Shimano ◽  
Hitoshi Kawazoe ◽  
Tomonori Nakamura ◽  
Yuji Miura ◽  
...  
Keyword(s):  
Risk Factors ◽  
Retrospective Study ◽  
Nausea And Vomiting ◽  
Patients With Cancer ◽  
Related Risk

Clinical Characteristics and Risk Factors of Poor Prognosis in 83 Cases of Coronavirus Disease 2019

2021 ◽  
Vol 7 (5) ◽  
pp. 2668-2677
Author(s):  
Jun Shao ◽  
Jing Yuan ◽  
Ping Fu ◽  
Rui-qiang Zheng ◽  
Qi-hong Chen
Keyword(s):  
Risk Factors ◽  
Poor Prognosis ◽  
Composite Endpoint ◽  
High Sensitivity ◽  
High Flow ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Primary Composite Endpoint ◽  
High Flow Oxygen ◽  
Severe Group

Objective Since December 2019, coronavirus disease 2019 (COVID-19) emerged in Wuhan city and rapidly spread throughout the world. The clinical characteristics of patients with COVID-19 have been reported, but risk factors for prognosis have not been well described.Methods A total of 83 patients with COVID-19 were included in this retrospective study. All cases were divided into severe and nonsevere groups according to the severity of the disease. The primary composite endpoint was admission to an intensive care unit (ICU), use of mechanical ventilation or high-flow oxygen, or death. We used univariable and multivariable logistic regression methods to explore the risk factors associated with the primary composite endpoint.ResultsThe median age of patients was 46 years; a total of 48.2% of the patients were male. Of these patients, 17 were in the severe group (20.5%), and 66 were in the nonsevere group (79.5%).ln the severe group, the proportions of basic diseases, including hypertension, diabetes, and malignant tumors, were significantly higher than those in the nonsevere group(all P<0.05), and patients in the severe group were significantly older than those in the nonsevere group (P<0.05).The primary composite endpoint occurred in 13(15.7%) patients, including 10(12.0%) who underwent mechanical ventilation, 3(3.6%) who were treated with high-flow oxygen, 5(6.0%) who were admitted to the ICU,and 5(6.0%) who died. Multivariable regression showed that an increase in high-sensitivity C-reactive protein (1.063,1.02-1.108;P=0.004) or having diabetes (735.985,7.111-8444.318;P=0.002) was an independent risk factor for COVID-19 patients with poor prognosis; however,higher hemoglobin was associated with lower odds of poor prognosis(0.912, 0.856-0.97;P=0.004).CondusionMore than 20% ofpatients with COVID-19 developed severe conditions with a poor prognosis. The potential risk factors of high-sensitivity C-reactive protein, diabetes andlow hemoglobin content could help clinicians identify COVID-19 patients with poor prognosis on admission.

scholarly journals Validation of reported risk factors for disease classification and prognosis in COVID-19: a descriptive and retrospective study

2020 ◽  
Author(s):  
Li Tan ◽  
Xia Kang ◽  
Xinran Ji ◽  
Qi Wang ◽  
Yongsheng Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lactic Acid ◽  
Viral Load ◽  
Retrospective Study ◽  
Critically Ill ◽  
Disease Classification ◽  
Risk Indicators ◽  
C Reactive Protein ◽  
Reactive Protein

AbstractRisk indicators viral load (ORF1ab Ct), lymphocyte percentage (LYM%), C-reactive protein (CRP), interleukin-6 (IL-6), procalcitonin (PCT) and lactic acid (LA) in COVID-19 patients have been proposed in recent studies. However, the predictive effects of those indicators on disease classification and prognosis remains largely unknown. We dynamically measured those reported indicators in 132 cases of COVID-19 patients including the moderate-cured (moderated and cured), severe-cured (severe and cured) and critically ill (died). Our data showed that CRP, PCT, IL-6, LYM%, lactic acid and viral load could predict prognosis and guide classification of COVID-19 patients in different degrees. CRP, IL-6 and LYM% were more effective than other three factors in predicting prognosis. For disease classification, CRP and LYM% were sensitive in identifying the types between critically ill and severe (or moderate). Notably, among the investigated factors, LYM% was the only one that could distinguish between the severe and moderate types. Collectively, we concluded that LYM% was the most sensitive and reliable predictor for disease typing and prognosis. During the COVID-19 pandemic, the precise classification and prognosis prediction are critical for saving the insufficient medical resources, stratified treatment and improving the survival rate of critically ill patients. We recommend that LYM% be used independently or in combination with other indicators in the management of COVID-19.

Complementary Effects of Multivitamin and Omega-3 Fatty Acid Supplementation on Indices of Cardiovascular Health in Individuals with Elevated Homocysteine

2012 ◽  
Vol 82 (1) ◽  
pp. 41-52 ◽  
Author(s):  
P. Earnest ◽  
S. Kupper ◽  
M. Thompson ◽  
Guo ◽  
S. Church
Keyword(s):  
Risk Factors ◽  
Cardiovascular Health ◽  
Omega 3 Fatty Acids ◽  
Omega 3 ◽  
C Reactive Protein ◽  
Fatty Acid Supplementation ◽  
Omega 3 Fatty Acid ◽  
Reactive Protein ◽  
Daily Ingestion

Homocysteine (HCY), C-reactive protein (hsCRP), and triglycerides (TG) are risk factors for cardiovascular disease (CVD). While multivitamins (MVit) may reduce HCY and hsCRP, omega-3 fatty acids (N3) reduce TG; yet, they are seldom studied simultaneously. We randomly assigned 100 participants with baseline HCY (> 8.0 umol/L) to the daily ingestion of: (1) placebo, (2) MVit (VitC: 200 mg; VitE: 400 IU; VitB6: 25 mg; Folic Acid: 400 ug; VitB12: 400 ug) + placebo, (3) N3 (2 g N3, 760 mg EPA, 440 mg DHA)+placebo, or (4) MVit + N3 for 12 weeks. At follow-up, we observed significant reductions in HCY (umol/L) for the MVit (- 1.43, 95 %CI, - 2.39, - 0.47) and MVit + N3 groups (- 1.01, 95 %CI, - 1.98, - 0.04) groups, both being significant (p < 0.05) vs. placebo (- 0.57, 95 %CI, - 1.49, 0.35) and N3 (1.11, 95 % CI, 0.07, 2.17). hsCRP (nmol/L) was significantly reduced in the MVit (- 6.00, 95 %CI, - 1.04, - 0.15) and MVit + N3 (- 0.98, 95 %CI, - 1.51, - 0.46) groups, but not vs. placebo (- 0.15, 95 %CI, - 0.74, 0.43) or N3 (- 0.53, 95 %CI, - 1.18, 0.12). Lastly, we observed significant reductions in TG for the N3 (- 0.41, 95 %CI, - 0.69, - 0.13) and MVit + N3 (- 0.71, 95 %CI, - 0.93, - 0.46) groups, both significant vs. placebo (- 0.10, 95 %CI, - 0.36, 0.17) and MVit groups (0.15, 95 %CI, - 12, 0.42). The co-ingestion of MVit + N3 provides synergistic affects on HCY, hsCRP, and plasma TG.

scholarly journals FRI0420 ASSOCIATION BETWEEN RED BLOOD CELLS DISTRIBUTION WIDTH AND CARDIOVASCULAR RISK IN OSTEOARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 808.2-808
Author(s):  
N. Hammam ◽  
G. Salem ◽  
D. Fouad ◽  
S. Rashad
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Functional Limitations ◽  
Functional Limitation ◽  
C Reactive Protein ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Distribution Width ◽  
Reactive Protein ◽  
Lipid Panel

Background:Osteoarthritis (OA) is the most common joint disease that results in patient’s morbidity and disabilities. There is strong evidence that OA is a significant risk factor for cardiovascular disease (CVD). Red cell distribution width (RDW) blood test is a measure of the variation in red blood cell volume and size. Elevated RDW has recently been found to correlate with CVD risk in patients with and without heart disease and autoimmune diseases. RDW may be a marker for factors driving CVS risk.Objectives:: To investigate whether RDW can serve as a potential parameter for indicating cardiovascular risk in OA patients.Methods:A subsample of 819 OA patients was extracted from 2003-2006 National Health & Nutrition Examination Survey in a cross-sectional study. 63.7% of them were females. Their mean age was 66.4 ± 14.1 yrs. Demographic, medical data, inflammatory markers & lipid panel were obtained. Only patients with Haemoglobin>12 mg/dl were included. Functional limitations were assessed using a physical function questionnaire.Results:Elevated levels of RDW were associated with CVD risk factors in OA patients. 532 (65.8%) OA patients had functional limitations, while 78 (9.5%) and 63 (7.6%) known to have heart attacks or stroke ever. Mean RDW was 12.9±1.1fL. There was a positive significant correlation between RDW & CVD risk factors including body mass index (r=0.17, p<0.001), C-reactive protein (r=0.29, p<0.001), serum uric acid (r=0.12, p<0.001), and functional limitation (0.16, p<0.001). No significant association between RDW & lipid panel was found. In multiple regression analysis controlling for age, sex as covariates, body mass index (β =0.02, 95%CI: 0.01, 0.03, p=0.002), C-reactive protein (β =0.35, 95%CI: 0.26, 0.45, p<0.001), and functional limitation (β =0.18, 95%CI: 0.13, 0.35, p=0.03).Conclusion:In addition to known CVD risk in OA patients, elevated RDW levels should prompt physicians to aggressively screen and treat their patients for modifiable CVS risk factors, in addition to OA.Disclosure of Interests:None declared

scholarly journals The association of parameters of body composition and laboratory markers with the severity of hypertriglyceridemia-induced pancreatitis

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Lifang Chen ◽  
Yingbao Huang ◽  
Huajun Yu ◽  
Kehua Pan ◽  
Zhao Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Composition ◽  
Adipose Tissue ◽  
Serum Albumin ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Apolipoprotein A ◽  
Laboratory Markers ◽  
Subcutaneous Adipose ◽  
Low Serum

AbstractBackgroundHypertriglyceridemia has arisen as the third leading cause of acute pancreatitis. This study aimed at exploring the association between the severity of hypertriglyceridemia-induced pancreatitis (HTGP) and computed tomography (CT)-based body composition parameters and laboratory markers.MethodsLaboratory and clinical parameters were collected from 242 patients with HTGP between 2017 and 2020. Severity of HTGP was evaluated by original or modified CT severity index. Body composition parameters such as area and radiodensity of muscle, subcutaneous adipose tissue and visceral adipose tissue were calculated by CT at the level of third lumbar vertebra. Parameters were compared between mild and moderately severe to severe HTGP. Uni-variate and multi-variate Logistic regression analyses were employed to assess the risk factors of the severity of HTGP.ResultsSeventy patients (28.9%) presented with mild HTGP. Body mass index, waist circumference and all CT-based body composition parameters differed between male and female patients. None was associated with the severity of HTGP, neither in males nor in females. Receiver operating characteristic curves showed that areas under the curves of apolipoprotein A-I and albumin to predict the severity of HTGP were 0.786 and 0.759, respectively (allP < 0.001). Uni-variate and further multi-variate Logistic regression analysis confirmed that low serum albumin (< 35 g/L,P = 0.004, OR = 3.362, 95%CI = 1.492–8.823) and apolipoprotein A-I (< 1.1 g/L,P < 0.001, OR = 5.126, 95%CI = 2.348–11.195), as well as high C-reactive protein (> 90 mg/L,P = 0.005, OR = 3.061, 95%CI = 1.407–6.659) and lipase (P = 0.033, OR = 2.283, 95%CI = 1.070–4.873) were risk factors of moderately severe to severe HTGP. Levels of albumin, apolipoprotein A-I, C-reactive protein and lipase were also associated with the length of hospital stay (allP < 0.05). Besides, low serum albumin, low-density lipoprotein cholesterol and high radiodensity of subcutaneous adipose tissue were significant risk factors of pancreatic necrosis in patients with HTGP (allP < 0.05).ConclusionsLow serum albumin and apolipoprotein A-I, and high C-reactive protein and lipase upon admission were associated with a more severe type of HTGP and longer hospital stay for these patients. Albumin and apolipoprotein A-I may serve as novel biomarkers for the severity of HTGP. However, none of the body composition parameters was associated with the severity of HTGP.

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