Prognostic serum biomarkers in cancer patients with COVID-19: A systematic review

PurposeCancer patients with COVID-19 likely express biomarker changes in circulation. However, the biomarkers used in SARS-CoV-2 infected cancer patients for COVID-19 severity and prognosis are largely unclear. Therefore, this systematic review aims to determine what biomarkers were measured in cancer patients with COVID-19 and their prognostic utility.MethodsA systematic literature review in PubMed, Embase, and Scopus was performed on June 16th, 2021. The search keywords coronavirus, neoplasm, biomarkers, and disease progression were used to filter out 17 eligible studies, which were then carefully evaluated.ResultsA total of 4,168 patients, 16 types of cancer, and 60 biomarkers were included. Seven up-regulated markers, including CRP, d-dimer, ferritin, IL-2R, IL-6, LDH, and PCT, were identified in eligible studies. Albumin and hemoglobin were significantly down-regulated in cancer patients with COVID-19. Moreover, we observed that the SARS-CoV-2 infected cancer patients with lower CRP, ferritin, and LDH levels successfully survived from COVID-19 treatments.ConclusionSeveral important clinical biomarkers, such as CRP, ferritin, and LDH, may serve as the prognostic markers to predict the outcomes following COVID-19 treatment and monitor the deterioration of COVID-19 in cancer patients.     

Euthyroid Sick Syndrome as a Prognostic Indicator of COVID-19 Pulmonary Involvement,Associated With Poorer Disease Prognosis and Increased Mortality

ObjectiveThe prevalence of euthyroid sick syndrome (ESS) and its association with the prognosis of COVID-19 and mortality in patients with lung involvement in COVID-19 have not yet been elucidated.MethodsClinical and laboratory data of patients with COVID-19 with or without ESS were collected retrospectively and analyzed on admission. All subjects were admitted to the Department of Internal Diseases and Clinical Pharmacology at Bieganski Hospital between December 2020 and April 2021.ResultsIn total, 310 medical records of patients with COVID-19 were analyzed retrospectively. Among 215 enrolled patients, 82 cases of ESS were diagnosed. The patients with ESS had higher pro-inflammatory factor levels, longer hospitalizations, and a higher risk of requiring high-flow nasal oxygen therapy or intubation than the patients without ESS. The Kaplan-Meier curve indicated that the patients with ESS had a lower probability of survival when computed tomography showed ≤50% parenchymal involvement compared with that in patients without ESS. However, no differences in mortality were noted in those with more than 50% parenchymal involvement. The survival curve showed that ESS was associated with a higher risk of mortality during hospitalization.ConclusionESS is closely associated with a poor prognosis, including longer hospitalizations, more frequent intubation, transfer to the intensive care unit, and a higher mortality rate in patients with COVID-19. ESS is a potential prognostic predictor of survival, regardless of lung involvement in COVID-19.     

C-reactive protein as an early predictor of COVID-19 severity

BackgroundData for predicting severity of patients with COVID-19 infection are sparse and still under investigation. We retrospectively studied whether the admission serum C-reactive protein level (CRP) can serve as nearly predictor of disease severity during COVID-19 infection in comparison with other hematologic and inflammatory markers.MethodsWe included all consecutive patients who were admitted in Cheikh Khalifa International University Hospital, Casablanca, Morocco, between February to April 2020, with a confirmed diagnosis of COVID-19 infection using SARS-CoV-2 viral nucleic acid via RT-PCR. The complete blood count and serum CRP level were routinely measured on admission. All clinical and laboratory data of patients were collected and analyzed. The classification of the disease severity was in accordance with the clinical classification of the WHO interim guidance, and the management of patients were adapted to the national management guideline. We estimated receiver operating characteristic (ROC) curves of blood routine parameters as well as their association with COVID-19 disease severity.Results145 COVID-19 patients were included in the study. The median age (range) was 50 (32-63) years, and 75 (51.7%) were men. 101 patients were classified in the non-severe group and 44 patients in the severe group. Based on disease severity, significant differences were observed in the age, gender, comorbidities, and respiratory symptom. Similarly, the biological analysis found significant differences for the neutrophil count, lymphocyte count, eosinophil count, and CRP level. However, according to ROC curves of these laboratory biomarkers, the AUC of CRP at 0.872 was significantly higher than all other parameters. Further, CRP was independently associated with severity of COVID-19 disease (OR = 1.11, 95% IC (1.01-1.22) and or = 1.13, 95% IC (1.04-1.23)).ConclusionsThis study found that the CRP level at admission represent a simple and independent factor that can be useful for early detection of severity during COVID-19 and the easy guidance of primary care.     

Evaluation of total LDH and its isoenzymes as markers in preeclampsia

BackgroundPreeclampsia, a rapidly progressing pregnancy-specific multi-systemic syndrome is globally the leading cause of maternal and neonatal morbidity and mortality. This study aims to evaluate the serum total Lactate dehydrogenase levels in women with preeclampsia when compared to normotensive pregnant women and assess the electrophoretic pattern of the LDH isoenzymes in normal pregnancy, preeclampsia and eclampsia.MethodsThe study, carried out in the Department of Biochemistry of MVJ Medical College, included 30 patients of preeclampsia and 30 normotensive gestational age-matched pregnant women admitted to the Department of OBG. Serum total LDH was analysed by DGKC method. Serum and cord blood samples for isoenzyme distribution analysis were collected from a normal pregnant woman undergoing delivery, a woman with mild eclampsia, two women with eclampsia, and analysed by slab gel electrophoresis followed by activity staining.ResultsLDH was significantly elevated in cases as well as between the case (mild and severe) groups, showed a moderate positive statistically significant correlation with systolic, diastolic blood pressure and a sensitivity of 50% and a specificity of 80%. Further, the isoenzyme pattern showed a decreasing distribution of aerobic forms of LDH in preeclampsia-eclampsia.ConclusionsSerum total LDH may serve as a robust and affordable marker of preeclampsia. Serum total LDH, along with its isoenzyme profile, might serve as a predictor and a stronger marker of preeclampsia when compared to serum LDH analysis alone. It may also be used to assess the severity of preeclampsia and hence help in predicting and preventing adverse maternal and foetal outcomes.     

Effects of covid-19 infection on thyroid functions

BackgroundCOVID-19 may affect many endocrine tissues as well as thyroid gland and hypothalamus-pituitary-thyroid axis. It has been shown that COV D-19 infection suppresses thyroid hormones in some studies and causes subacute thyroiditis in the others so that its effects are still not fully known. The aim of our study is to retrospectively evaluate thyroid functions, clinical findings, biochemical and inflammatory markers in PCR positive patients infected with COVID-19; and to evaluate the relationship between abnormal thyroid function tests (TFT) and clinical and laboratory findings and whether it has potential prognostic significance.MethodsThe data of patients aged 18 years and older, 201 patients who applied to Mersin City Training and Research Hospital due to COVID-19 infection between 1st of March and 1st of April in 2021 and received inpatient treatment were evaluated retrospectivelyResultsLarge TFT (TSH, T3, T4, anti-TPO) and laboratory data of 201 patients with mild, moderate or severe pneumonia on CT were scanned retrospectively. 121 (60.2%) of the patients were male, mean age was 51.9 ± 14.6 years, and the most common comorbid disease was hypertension in 65 (32.3%) patients.ConclusionsIt has been determined that the deterioration in TFTs is associated with LDH and D-dimer which are indicators of cell and endothelial damage, duration of hospitalization, clinical severity, and having mutant strains and it has been concluded that low TSH can be used as a prognostic indicator in COVID-19 patients. Further studies with healthy control groups, quantitative RT-PCR tests, histological and pathological correlations, and long-term follow-up are needed.     

A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: Application to COVID-19 patients

PurposeQuantitative metrics in lung computed tomography (CT) images have been widely used, often without a clear connection with physiology. This work proposes a patient-independent model for the estimation of well-aerated volume of lungs in CT images (WAVE).MethodsA Gaussian fit, with mean (Mu.f) and width (Sigma.f) values, was applied to the lower CT histogram data points of the lung to provide the estimation of the well-aerated lung volume (WAVE.f). Independence from CT reconstruction parameters and respiratory cycle was analysed using healthy lung CT images and 4DCT acquisitions. The Gaussian metrics and first order radiomic features calculated for a third cohort of COVID-19 patients were compared with those relative to healthy lungs. Each lung was further segmented in 24 subregions and a new biomarker derived from Gaussian fit parameter Mu.f was proposed to represent the local density changes.ResultsWAVE.f resulted independent from the respiratory motion in 80% of the cases. Differences of 1%, 2% and up to 14% resulted comparing a moderate iterative strength and FBP algorithm, 1 and 3 mm of slice thickness and different reconstruction kernel. Healthy subjects were significantly different from COVID-19 patients for all the metrics calculated. Graphical representation of the local biomarker provides spatial and quantitative information in a single 2D picture.ConclusionsUnlike other metrics based on fixed histogram thresholds, this model is able to consider the inter- and intra-subject variability. In addition, it defines a local biomarker to quantify the severity of the disease, independently of the observer.     

A single centered study reveals association between liver injury and COVID-19 infection

Background and aimDespite the fact that it has been over a year with the pandemic COVID-19 infection, ongoing research and analysis reveal many complications and comorbidities associated with COVID-19. In this study, we aimed at investigating the clinical and laboratory assessments in COVID-19 patients with and without liver injury.MethodsSymptomatic 541 COVID-19 positive patients, who were admitted to Al Kuwait Hospital, Dubai, United Arab Emirates (UAE), were recruited in this study. Their data was collected retrospectively, including demographic data, blood tests, symptoms, radiographical assessments, and clinical outcomes of COVID-19.ResultsAround 19% of the recruited COVID-19 patients displayed signs of acute liver injury. Also, there was an increase in the percentage of critical, ICU-admitted and mortality rates in COVID-19 cases with liver injury, as well as a higher percentage of septic shock and acute respiratory distress syndrome (ARDS). COVID-19 patients with liver injury had more pronounced bilateral consolidation, lymphopenia and neutrophilia. Additionally, these patients had higher levels of CRP, LDH, procalcitonin, ferritin and D dimer levels. Finally, there was a higher percentage of patients taking various COVID-19 therapies in the COVID-19 patients with liver injury group.ConclusionCOVID-19 patients with acute liver injury are at a higher risk for serious outcomes including death.     

神经精神性狼疮患者血清可溶性fractalkine、乳酸脱氢酶水平与疾病活动程度的关系及其影响因素分析

摘要 目的：探讨神经精神性狼疮（NPSLE）患者血清可溶性fractalkine（sFKN）、乳酸脱氢酶（LDH）水平与疾病活动程度的关系,分析NPSLE发病的危险因素。方法：选取2016年1月-2020年12月我院收治的106例系统性红斑狼疮患者,其中44例患者出现神经精神症状（NPSLE组）,62例患者未出现神经精神症状（非NPSLE组）。检测血清sFKN、LDH水平,采用SLE疾病活动程度（SLEDAI）评分评估疾病活动程度,根据 SLEDAI评分将NPSLE组患者分为轻度组（17例）、中度组（15例）、重度组（12例）。Spearman秩相关分析血清sFKN、LDH水平与SLEDAI评分之间相关性,多因素Logistic回归分析NPSLE发病的影响因素。结果：NPSLE组血清sFKN、LDH水平、SLEDAI评分均高于非NPSLE组（P＜0.05）。重度组血清sFKN、LDH水平高于中度组和轻度组（P＜0.05）,中度组血清sFKN、LDH水平高于轻度组（P＜0.05）。血清sFKN、LDH水平与SLEDAI评分均呈正相关（rs=0.868、0.732,P＜0.05）。多因素Logistic回归分析结果显示发病年龄较小、病程较短、未接受正规糖皮质激素治疗、高sFKN、高LDH是NPSLE发病的危险因素（P＜0.05）。结论：NPSLE患者血清sFKN、LDH水平均增高,高水平sFKN、LDH与NPSLE发生和疾病活动程度增加有关,临床监测血清sFKN、LDH水平有助于早期识别NPSLE。     

血清乳酸脱氢酶评估颅脑手术患者重症肺炎的临床价值

摘要 目的：分析血清乳酸脱氢酶在评估颅脑手术患者重症肺炎的中的应用价值。方法：选取2020年7月~2022年6月在本院神经外科进行收治的颅脑择期手术患者268例,根据是否合并术后肺炎,分为非感染组（n=185）和肺炎组（n=83）,肺炎组根据肺炎严重程度分为重症肺炎31例及普通肺炎52例。采用酶联免疫吸附法测定血清PCT、CRP水平;采用酶比色法检测血清 LDH 水平,采用Pearson相关性检验分析合并肺炎患者血清LDH、PCT、CRP水平与病情严重程度的相关性。采用ROC曲线分析血清LDH、PCT、CRP水平对颅脑手术患者合并重症肺炎的临床诊断价值,血清LDH、PCT、CRP水平预估颅脑手术合并重症肺炎患者预后的价值。结果：术后1 d、3 d、7 d与未感染组对比,普通肺炎组患者血清LDH、PCT、CRP水平均明显升高（P<0.05）;与普通肺炎组对比,重症肺炎组患者血清LDH、PCT、CRP水平均明显升高（P<0.05）。经Pearson相关性检验分析,颅脑手术合并肺炎患者血清LDH、PCT、CRP水平与PSI评分呈明显正相关（P<0.05）。以术后1 d血清LDH、PCT、CRP水平建立ROC曲线,结果发现,血清LDH、PCT、CRP的曲线下面积分别为0.840、0.825、0.746。以术后7 d血清LDH、PCT、CRP水平建立ROC曲线,结果发现,血清LDH、PCT、CRP的曲线下面积分别为0.819、0.725、0.684。结论：LDH在颅脑手术合并肺炎患者中高表达,与肺炎严重程度正相关。LDH在区分非重症肺炎患者和重症肺炎患者以及预测重症肺炎患者的28天死亡率方面具有良好价值。     

新型冠状病毒肺炎患者血清SAA、ESR、CRP检测结果分析

目的:分析新型冠状病毒肺炎(COVID-19)患者血清淀粉样蛋白A(SAA)、血沉ESR(ESR)、C-反应蛋白CRP(CRP)的临床价值。方法:以我院2020年1月至2020年2月确诊的COVID-19患者51例为实验组:其中重症患者21例,轻症患者30例,选取非感染患者30例为对照组。分析新型冠状病毒肺炎(COVID-19)患者血清SAA、ESR、CRP水平以及临床价值。结果:实验组SAA、ESR、CRP水平高于对照组(P0.05);重症组SAA、ESR、CRP水平高于轻症组(P0.05),由ROC曲线得知SAA、ESR、CRP预测COVID-19的AUC小于三者联合预测的AUC。结论:COVID-19的SAA、ESR、CRP水平会升高,三者联合预测为疾病评估、预测疾病发展的提供依据,值得临床进一步推广应用。     

血清细胞角蛋白19、神经元特异性烯醇化酶及鳞状上皮细胞癌抗原在小细胞肺癌诊断及病情评估中的作用研究

摘要 目的：分析血清细胞角蛋白19（CK19）、神经元特异性烯醇化酶（NSE）及鳞状上皮细胞癌抗原（SCCA）在小细胞肺癌诊断及病情评估中的作用。方法：选择我院自2020年1月至2022年7月收治的85例小细胞肺癌患者作为观察组,另选同期的85例肺部良性疾病患者作为对照组。检测两组血清CK19、NSE、SCCA表达水平,比较两组血清CK19、NSE、SCCA表达水平及其阳性率,使用ROC曲线下面积（AUC）分析上述指标对小细胞肺癌的诊断效能,观察小细胞肺癌不同分期患者血清CK19、NSE、SCCA表达水平的差异性,分析观察组治疗前后血清CK19、NSE、SCCA表达水平的变化情况。结果：观察组血清CK19、NSE、SCCA表达水平均较对照组高（P＜0.05）;观察组血清CK19、NSE和SCCA的阳性率均较对照组高（P＜0.05）;经ROC曲线分析,血清CK19、NSE联合SCCA诊断小细胞肺癌的敏感度为91.23 %,特异度为84.67 %,AUC为0.910;在85例小细胞肺癌患者中,临床分期为局限期33例、广泛期52例;广泛期患者血清CK19、NSE、SCCA表达水平均高于局限期患者（P＜0.05）。结论：血清CK19、NSE联合SCCA诊断小细胞肺癌的效能较好,三者均与患者病情严重程度有关,有利于此病的早期诊断和病情评估,值得进一步研究应用。     

老年2型糖尿病患者血清促甲状腺激素水平及其与冠脉病变程度的相关性分析

目的:探讨老年2型糖尿病(T2DM)患者血清促甲状腺激素(TSH)水平及其与患者冠脉病变程度的相关性。方法:回顾性分析2015年6月～2017年6月我院收治的88例老年T2DM患者(T2DM组)、50例健康体检者(对照组)的临床资料,根据血清TSH水平将T2DM组分为四个亚组,A组(0.45～1.49 m IU/L,n=18)、B组(1.50～2.49 m IU/L,n=23)、C组(2.50～3.49 m IU/L,n=22)、D组(≥4.5 m IU/L,n=25)。比较T2DM组与对照组TSH水平的差异,并根据计算机断层血管造影(CTA)结果计算Gensini评分,分析Gensini评分与血清TSH水平的相关性。结果:T2DM组血清TSH水平显著高于对照组,且随着血清TSH水平的升高,T2DM患者的年龄、TC、TG、LDL-C明显增加,而HDL-C、T3明显降低(P0.05)。C组病变支数显著多于A组,重度病变的比例明显升高,而D组病变支数、病变程度与A组、B组、C组比较差异均有统计学意义(P0.05)。血清TSH水平与Gensini评分呈显著正相关(r=0.577,P0.05)。结论:老年T2DM患者血清TSH水平显著升高,且与患者冠脉病变严重程度呈显著正相关,血清TSH水平有助于评估老年T2DM患者冠脉病变的严重程度。     

Hepatocellular Damage and Severity of COVID-19 Infection in Iraqi Patients: A Biochemical Study

Background:Infection with COVID-19 can cause hepatic damages. Here, we aimed to examine the effect of COVID-19 infection on the serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), albumin, and procalcitonin (PCT) concentrations as markers to evaluate the liver function.Methods:In this study, 56 patients infected with COVID- 19 and 28 healthy controls was recruited in Private Nursing Home Hospital of the Medical City, Baghdad. Patients were subdivided according to disease severity into severe and non-severe groups.Results:The results showed that the mean±SD value of serum AST activity and serum PCT concentrations were elevated significantly in severe group in comparison to healthy control, (p< 0.01, p< 0.001) respectively. Also, the mean ±SD value of serum ALT activity was higher in severe group compared to the healthy subjects and non-severe ones, significantly (p< 0.0001, p< 0.003) respectively. While the mean value of serum albumin concentration of severe patients and non-severe group were significantly decreased compared to healthy subjects. The receiver operating characteristic curve (ROC) revealed that ROC value of albumin (0.992) differentiates between non-severe infected patients and healthy subjects, while the ROC value of serum ALT activity (0.735) differentiates between severe COVID-19 patients and non- severe ones.Conclusion:Changes of liver function parameters in COVID-19 patients were mild to moderate and measurement of serum ALT activity is the best biomarker in differentiation between non-severe patients and severe ones and albumin concentration is excellent in discrimination between patients and controls.Key Words: Serum aminotransferase enzymes, Albumin, Procalcitonin     

The concentrations of essential/toxic elements in serum of COVID-19 patients are not directly related to the severity of the disease

BackgroundIn recent months, the current COVID-19 pandemic has generated thousands of studies directly or indirectly related with this disease and/or the coronavirus SARS-CoV-2 causing the infection. On August 22, 2022, the database PUBMED included 287,639 publications containing the term COVID-19. However, in spite of the importance of trace elements in human health, including the immune system, data on the levels of metals/metalloids in COVID-19 patients is very limited.MethodsThe concentrations of As, Cd, Cr, Cu, Hg, Fe, Mg, Mn, Pb, Se, V and Zn were determined by inductively coupled plasma-mass spectrometry (ICP-MS) in 126 serum samples of individuals infected with SARS-CoV-2, as well as in 88 samples of non-infected individuals. Participants were divided into four groups: i) individuals COVID-19 positive (COVID-19 +) with an asymptomatic infection course; ii) individuals suffering mild COVID-19; iii) individuals suffering severe COVID-19, and iv) individuals COVID-19 negative (COVID-19-) (control group). The occurrence of the analyzed metals/metalloids was evaluated along with the biochemical profile, including blood cell counts, lipids, proteins and crucial enzymes.ResultsSerum levels of Mg, V, Cr, Cu, Cd, and Pb were higher in COVID-19 positive patients than those in the control group. Although no significant differences were observed between the different groups of patients, the concentrations of Cd, Pb, V and Zn showed a tendency to be higher in individuals with severe COVID-19 than in those showing mild symptoms or being asymptomatic. Arsenic and Hg were rarely detected, regardless if the subjects were infected by SARS-CoV-2, or not. The current results did not show significant differences in the levels of the rest of analyzed elements according to the severity of the disease (asymptomatic, mild and severe).ConclusionsIn spite of the results here obtained, we highlight the need to reduce the exposure to Cd, Pb and V to minimize the potential adverse health outcomes after COVID-19 infection. On the other hand, although a protective role of essential elements was not found, Mg and Cu concentrations were higher in severe COVID-19 patients than in non-infected individuals.     

Sick Euthyroid Syndrome on Presentation of Patients With COVID-19: A Potential Marker for Disease Severity

ObjectivePrecise risk stratification and triage of coronavirus disease 2019 (COVID-19) patients are essential in the setting of an overwhelming pandemic burden. Clinical observation has shown a somewhat high prevalence of sick euthyroid syndrome among patients with COVID-19. This study aimed to evaluate the predictive value of free triiodothyronine (FT3) at the clinical presentation of COVID-19 for disease severity and death.MethodsThis retrospective cohort study was based on electronic medical records. The study was conducted at Sheba Medical Centre, a tertiary hospital where several acute and chronic wards have been dedicated to the treatment of patients with COVID-19. The primary outcome measure was death during hospitalization; secondary outcomes included hospitalization in intensive care, mechanical ventilation, and length of hospitalization.ResultsOf a total of 577 polymerase chain reaction-positive patients with COVID-19 hospitalized between February 27 and July 30, 2020, 90 had at least 1 measurement of thyroid-stimulating hormone, free thyroxine, and FT3 within 3 days of presentation. After applying strict exclusion criteria, 54 patients were included in the study. Patients in the lowest tertile of FT3 had significantly higher rates of mortality (40%, 5.9%, and 5.9%, P = .008), mechanical ventilation (45%, 29.4%, and 0.0%; P = .007) and intensive care unit admission (55%, 29.4%, and 5.9%, P = .006). In multivariate analyses adjusted for age, Charlson comorbidity index, creatinine, albumin, and white blood cell count. FT3 remained a significant independent predictor of death.ConclusionFT3 levels can serve as a prognostic tool for disease severity in the early presentation of COVID-19.     

COVID-19 severity and cardiovascular outcomes in SARS-CoV-2-infected patients with cancer and cardiovascular disease

BackgroundData regarding outcomes among patients with cancer and co-morbid cardiovascular disease (CVD)/cardiovascular risk factors (CVRF) after SARS-CoV-2 infection are limited.ObjectivesTo compare Coronavirus disease 2019 (COVID-19) related complications among cancer patients with and without co-morbid CVD/CVRF.MethodsRetrospective cohort study of patients with cancer and laboratory-confirmed SARS-CoV-2, reported to the COVID-19 and Cancer Consortium (CCC19) registry from 03/17/2020 to 12/31/2021. CVD/CVRF was defined as established CVD or no established CVD, male ≥ 55 or female ≥ 60 years, and one additional CVRF. The primary endpoint was an ordinal COVID-19 severity outcome including need for hospitalization, supplemental oxygen, intensive care unit (ICU), mechanical ventilation, ICU or mechanical ventilation plus vasopressors, and death. Secondary endpoints included incident adverse CV events. Ordinal logistic regression models estimated associations of CVD/CVRF with COVID-19 severity. Effect modification by recent cancer therapy was evaluated.ResultsAmong 10,876 SARS-CoV-2 infected patients with cancer (median age 65 [IQR 54–74] years, 53% female, 52% White), 6253 patients (57%) had co-morbid CVD/CVRF. Co-morbid CVD/CVRF was associated with higher COVID-19 severity (adjusted OR: 1.25 [95% CI 1.11–1.40]). Adverse CV events were significantly higher in patients with CVD/CVRF (all p<0.001). CVD/CVRF was associated with worse COVID-19 severity in patients who had not received recent cancer therapy, but not in those undergoing active cancer therapy (OR 1.51 [95% CI 1.31–1.74] vs. OR 1.04 [95% CI 0.90–1.20], p_interaction <0.001).ConclusionsCo-morbid CVD/CVRF is associated with higher COVID-19 severity among patients with cancer, particularly those not receiving active cancer therapy. While infrequent, COVID-19 related CV complications were higher in patients with comorbid CVD/CVRF. (COVID-19 and Cancer Consortium Registry [CCC19]; NCT04354701).     

Evaluation of amino acid profile in serum of patients with Covid-19 for providing a new treatment strategy

BackgroundAmino acids have an important role in metabolism and may affect COVID-19-related outcomes. In our study, the amino acid serum level of hospitalized COVID19 patients was evaluated to determine a new treatment strategy.MethodsThe amino acid profile covering 43 amino acids in 68 subjects, comprising 30 (14 men and 16 women) controls and 38 (16 men and 22 women) COVID-19 patients, were examined. The amino acid profiles of the participants were screened by LC-MS/MS.ResultsCompared with the control group, serum levels of 27 amino acids increased in the patient group. Alpha-aminopimelic acid, sarcosine, and hydroxyproline amino acids were considerably higher in the control group than in the patient group (p<0.0001). There was no notable difference among control group and the case group for 13 amino acids (p≥0.05). A significant positive correlation was seen among the control and the patient groups in the mean amino acid values (r=0.937; p<0.0001).ConclusionsThese results postulated a clear picture on the serum levels of amino acid in the COVID-19 patients. Serum amino acids measured in hospitalized COVID-19 patients can explain the patient''s metabolic status during the disease.     

Accumulating Impact of Smoking and Co-morbidities on Severity and Mortality of COVID-19 Infection: A Systematic Review and Meta-analysis

BackgroundHigh prevalence, severity, and formidable morbidity have marked the recent emergence of the novel coronavirus disease (COVID-19) pandemic. The significant association with the pre-existing co-morbid conditions has increased the disease burden of this global health emergency, pushing the patients, healthcare workers and facilities to the verge of complete disruption.MethodsMeta-analysis of pooled data was undertaken to assess the cumulative risk assessment of multiple co-morbid conditions associated with severe COVID-19. PubMed, Scopus, and Google Scholar were searched from January 1^st to June 27^th 2020 to generate a well-ordered, analytical, and critical review. The exercise began with keying in requisite keywords, followed by inclusion and exclusion criteria, data extraction, and quality evaluation. The final statistical meta-analysis of the risk factors of critical/severe and non-critical COVID-19 infection was carried out on Microsoft Excel (Ver. 2013), MedCalc (Ver.19.3), and RevMan software (Ver.5.3).ResultsWe investigated 19 eligible studies, comprising 12037 COVID-19 disease patients, representing the People’s Republic of China (PRC), USA, and Europe. 18.2% (n = 2200) of total patients had critical/severe COVID-19 disease. The pooled analysis showed a significant association of COVID-19 disease severity risk with cardiovascular disease (RR: 3.11, p < 0.001), followed by diabetes (RR: 2.06, p < 0.001), hypertension (RR: 1.54, p < 0.001), and smoking (RR: 1.52, p < 006).ConclusionThe review involved a sample size of 12037 COVID-19 patients across a wide geographical distribution. The reviewed reports have focussed on the association of individual risk assessment of co-morbid conditions with the heightened risk of COVID-19 disease. The present meta-analysis of cumulative risk assessment of co-morbidity from cardiovascular disease, diabetes, hypertension, and smoking signals a novel interpretation of inherent risk factors exacerbating COVID-19 disease severity. Consequently, there exists a definite window of opportunity for increasing survival of COVID-19 patients (with high risk and co-morbid conditions) by timely identification and implementation of appropriately suitable treatment modalities.     

Disease characteristics and serological responses in patients with differing severity of COVID-19 infection: A longitudinal cohort study in Dhaka,Bangladesh

BackgroundCOVID-19 caused by SARS-CoV-2 ranges from asymptomatic to severe disease and can cause fatal and devastating outcome in many cases. In this study, we have compared the clinical, biochemical and immunological parameters across the different disease spectrum of COVID-19 in Bangladeshi patients.Methodology/Principal findingsThis longitudinal study was conducted in two COVID-19 hospitals and also around the community in Dhaka city in Bangladesh between November 2020 to March 2021. A total of 100 patients with COVID-19 infection were enrolled and classified into asymptomatic, mild, moderate and severe cases (n = 25/group). In addition, thirty age and sex matched healthy participants were enrolled and 21 were analyzed as controls based on exclusion criteria. After enrollment (study day1), follow-up visits were conducted on day 7, 14 and 28 for the cases.Older age, male gender and co-morbid conditions were the risk factors for severe COVID-19 disease. Those with moderate and severe cases of infection had low lymphocyte counts, high neutrophil counts along with a higher neutrophil-lymphocyte ratio (NLR) at enrollment; this decreased to normal range within 42 days after the onset of symptom. At enrollment, D-dimer, CRP and ferritin levels were elevated among moderate and severe cases. The mild, moderate, and severe cases were seropositive for IgG antibody by day 14 after enrollment. Moderate and severe cases showed significantly higher IgM and IgG levels of antibodies to SARS-CoV-2 compared to mild and asymptomatic cases.Conclusion/SignificanceWe report on the clinical, biochemical, and hematological parameters associated with the different severity of COVID-19 infection. We also show different profile of antibody response against SARS-CoV-2 in relation to disease severity, especially in those with moderate and severe disease manifestations compared to the mild and asymptomatic infection.     

Assessment of the Effectiveness of a Protocol to Manage Dexamethasone-Induced Hyperglycemia Among Hospitalized Patients With COVID-19

ObjectiveWell-controlled glucose levels (ie, 70-180 mg/dL) have been associated with lower mortality from COVID-19. The addition of dexamethasone to COVID-19 treatment protocols has raised concerns about the potential negative consequences of dexamethasone-induced hyperglycemia.MethodsWe developed a protocol to guide the management of dexamethasone-induced hyperglycemia in hospitalized patients with COVID-19. Two of the 4 medical teams managing patients with COVID-19 at a tertiary center in Saudi Arabia used the protocol and the other 2 teams continued to manage hyperglycemia at the discretion of the treating physicians (protocol and control groups, respectively). The glycemic control and clinical outcomes in 163 patients hospitalized with COVID-19 and dexamethasone-induced hyperglycemia between July 5th and September 30th, 2020, were retrospectively compared between the 2 groups.ResultsCompared to the control group, the protocol group had higher proportions of patients with well-controlled glucose across all premeals and bedtime glucose readings throughout the hospital stay. The differences in glycemic control between the 2 groups were statistically significant for fasting glucose on days 4, 5, and the discharge day; prelunch glucose on the discharge day; predinner glucose on days 3, 5, and the discharge day; and bedtime glucose on day 1 (all P < .05). After adjusting for age, sex, nationality, body mass index, Charlson score, and diabetes status, patients in the protocol group were more likely to have well-controlled glucose levels compared with those in the control group. Moreover, the in-hospital mortality was significantly lower in the protocol group (12.93%) compared to the control group (29.93%) (P < .01).ConclusionThe implementation of a protocol to manage dexamethasone-induced hyperglycemia in hospitalized patients with COVID-19 resulted in more patients achieving well-controlled glucose levels and was associated with lower mortality from COVID-19.