Differential white blood cell count in the COVID-19: A cross-sectional study of 148 patients

BackgroundSARS-CoV-2 infection alters various blood parameters, which may indicate disease severity and thus help in better clinical management.AimTo study the association between various hematological parameters and disease severity of COVID-19. To analyze the effects of hypertension and diabetes on neutrophil-lymphocyte ratio and neutrophil-monocyte ratio in patients suffering from COVID-19.Materials and methodsThe study was a cross-sectional study involving 148 laboratory-confirmed cases of SARS-CoV-2 infection. The patients were divided into three groups on the basis of disease severity. Various hematological parameters were analyzed. The effects of hypertension and diabetes on NLR and NMR in COVID-19 patients were evaluated.ResultsOf the 148 patients, 78.4%, 8.1% and 13.5% cases were in the mild, moderate and severe groups, respectively. Mean age was 42.63 ± 16.04 years (IQR: 29, 54.75; Range: 7–74). 58.8% patients were male while the rest (42.2%) were female. Mean TLC (cells/mm³), neutrophil (%), lymphocyte (%), monocyte (%), eosinophil (%), neutrophil-lymphocyte ratio (NLR) and neutrophil-monocyte ratio (NMR) among mild, moderate and severe COVID-19 was statistically significant (p < 0.05). Basophil (%) and lymphocyte-monocyte ratio (LMR) was statistically insignificant among the three groups. Lymphocyte (%), monocyte (%) and eosinophil (%) were negatively correlated to disease severity. Among diabetics, both NLR and NMR were statistically significant (p < 0.05). However, among hypertensive cases, only the NLR was statistically significant.ConclusionOlder age, higher TLC, neutrophilia, lymphopenia, eosinopenia, high NLR and high NMR are associated with severe COVID-19. High NLR and high NMR are indicative of severe disease among diabetic patients. High NLR also indicates severe disease among hypertensive patients.     

Hypocalcemia is associated with severe COVID-19: A systematic review and meta-analysis

Background and aimsHypocalcemia is commonly in critically ill patients and studies have shown that hypocalcemia is prevalent in patients with COVID-19. This meta-analysis aimed to evaluate the prognostic performance of hypocalcemia in patients with coronavirus disease 2019 (COVID-19).MethodsWe performed a systematic literature search on PubMed, Scopus, and Embase with keywords “SARS-CoV-2″ OR″COVID-19″ OR ″2019-nCoV” AND “hypocalcemia” up until 10 December 2020. The key exposure was hypocalcemia, defined as serum calcium below study-defined cut-off points. The main outcome was poor outcome, which was a composite of mortality and severity. The effect estimate of the main outcome was reported as odds ratio (OR) and its 95% confidence interval (95% CI). We also generate sensitivity, specificity, positive and negative likelihood ratio (PLR & NLR), diagnostic odds ratio (DOR), and area under curve (AUC).ResultsThere are 2032 patients from 7 studies included in this systematic review and meta-analysis. The incidence of poor outcome in this study was 26%. Serum calcium was lower in patients with poor outcome (mean difference ?0.173 mmol/L [-0.259, ?0.087], p < 0.001; I²: 31.3%). Hypocalcemia was associated with poor outcome (OR 3.19 [2.02, 5.06], p < 0.001; I²: 32.86%); with sensitivity of 0.74 [0.53, 0.88], specificity of 0.54 [0.29, 0.77], PLR of 1.6 [1.1, 2.3], NLR of 0.49 [0.35, 0.66], DOR of 3 [2, 5], and AUC of 0.70 [0.66, 0.74]. In this pooled analysis, the post-test probability was 36% in patients with hypocalcemia and 15% in patients without hypocalcemia.ConclusionHypocalcemia was associated with poor outcome in COVID-19 patients.PROSPERO ID: CRD42020225506.     

The prognostic value of elevated creatine kinase to predict poor outcome in patients with COVID-19 - A systematic review and meta-analysis

Background and aimsCreatine kinase (CK), a marker of muscle damage, is potentially associated with a more severe COVID-19. In this systematic review and meta-analysis, we aim to evaluate the association between the elevated CK and severity and mortality in COVID-19.MethodsWe performed a systematic literature search on PubMed, Scopus, and Embase up until January 26, 2020. The main outcome was poor outcome, a composite of mortality and severe COVID-19.ResultsThere are 2471 patients from 14 studies included in this systematic review and meta-analysis. The incidence of elevated CK in this pooled analysis was 17% (11%, 22%) and the incidence of poor outcome in this pooled analysis was 27% (19%, 34%). Elevated CK was associated with poor outcome in patients with COVID-19 (OR 3.01 [2.21, 4.10], p < 0.001; I²: 10.2%). The effect estimate did not vary with age (p = 0.610), male (p = 0.449), hypertension (p = 0.490), and diabetes (p = 0.457). Elevated CK has a sensitivity of 0.24 (0.17, 0.32), specificity of 0.91 (0.86, 0.94), PLR of 2.6 (1.9, 3.7), NLR of 0.84 (0.78, 0.90), DOR of 3 (2, 5), and AUC of 0.62 (0.57, 0.66) for predicting poor outcome in patients with COVID-19. In this pooled analysis, elevated CK confers to a 49% probability for poor outcome and a non-elevated CK confers to a 24% probability. Subgroup analysis and univariate meta-regression indicates that the sensitivity and specificity does not vary with age, male, hypertension, and diabetes.ConclusionElevated CK was associated with increased mortality and severity in patients with COVID-19.PROSPEROCRD42021233435.     

The prognostic values of thyroid disorders in predicting COVID-19 composite poor outcomes: A systematic review and meta-analysis

Background and aimsIn this meta-analysis, we aimed to evaluate the prognostic properties of thyroid disorder during admission on poor prognosis and factors that may influence the relationship in patients with COVID-19.MethodsA systematic literature search of PubMed, EBSCO, and CENTRAL was conducted from inception to August 27, 2021. The main exposure was unspecified and specified thyroid disorders–hypothyroidism or hypothyroidism. The outcome of interest was the COVID-19 composite poor outcome that comprises of severity, mortality, ICU admission, and hospitalization.ResultsThere were 24,734 patients from 20 studies. Meta-analysis showed that thyroid disorder was associated with composite poor outcome (OR 2.87 (95% CI 2.04–4.04), p < 0.001; I² = 62.4%, p < 0.001). Meta regression showed that age (p = 0.047) and hypertension (p = 0.01), but not gender (p = 0.15), DM (p = 0.10), CAD/CVD (p = 0.38), obesity (p = 0.84), and COPD (p = 0.07) affected the association. Subgroup analysis showed that thyroid disorder increased risk of severe COVID-19 (OR 5.13 (95% CI 3.22–8.17), p < 0.05; I² = 0%, p = 0.70) and mortality (OR 2.78 (95%CI 1.31–5.90), p < 0.05; I² = 80%, p < 0.01). Pooled diagnostic analysis of thyroid disorder yielded a sensitivity of 0.22 (0.13–0.35), specificity of 0.92 (0.87–0.95), and AUC of 0.72. The probability of poor outcome was 38% in patients with thyroid disorder and 15% in patients without thyroid abnormality.ConclusionOn-admission thyroid disorder was associated with poor prognosis in COVID-19 patients.     

Impact of the vitamin D deficiency on COVID-19 infection and mortality in Asian countries

Background and aimsCOVID-19 is a pandemic that has affected beyond 100 million and caused nearly 3 million deaths globally. Vitamin D is a known risk factor for COVID-19. Therefore, we aimed to investigate the association of prevalence of vitamin D deficiency and mean vitamin D level with COVID-19 infection and mortality in Asia, predicting with other confounding factors such as median age, obesity, and diabetes.MethodsCOVID-19 infections and mortalities among the Asian countries were retrieved from the Worldometer website. Information on prevalence of vitamin D deficiency and mean vitamin D values in each Asian country was retrieved through literature searching on PubMed® and Google scholar. The associations between COVID-19 infections and mortalities with prevalence of vitamin D deficiency and mean vitamin D level were explored with correlation coefficients. As a predictive analysis, multiple linear regression was carried out with all confounders.ResultsPositive correlations were observed for prevalence of vitamin D deficiency with COVID-19 infections (r = 0.55; p = 0.01; R² = 0.31) and mortalities (r = 0.50; p = 0.01; R² = 0.25). Moreover, the associations for the COVID-19 infections and mortalities improved to r = 0.76 (p = 0.002; R² = 0.58) and r = 0.65 (p = 0.03; R² = 0.42), respectively, after predicting with confounding factors. Similarly, mean vitamin D level had a significant negative correlation with COVID-19 infections (r = ?0.77; p = 0.04; R² = 0.59) and mortalities (r = ?0.80; p = 0.03; R² = 0.63) when combining with confounders.ConclusionPrevalence of vitamin D deficiency is significantly positively associated whereas the mean vitamin D level is significantly negatively associated with both infection and mortality rate of COVID-19 among Asian countries upon predicting with all confounders.     

Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia – A systematic review,meta-analysis,and meta-regression

Background and aimsDiabetes Mellitus (DM) is chronic conditions with devastating multi-systemic complication and may be associated with severe form of Coronavirus Disease 2019 (COVID-19). We conducted a systematic review and meta-analysis in order to investigate the association between DM and poor outcome in patients with COVID-19 pneumonia.MethodsSystematic literature search was performed from several electronic databases on subjects that assess DM and outcome in COVID-19 pneumonia. The outcome of interest was composite poor outcome, including mortality, severe COVID-19, acute respiratory distress syndrome (ARDS), need for intensive care unit (ICU) care, and disease progression.ResultsThere were a total of 6452 patients from 30 studies. Meta-analysis showed that DM was associated with composite poor outcome (RR 2.38 [1.88, 3.03], p < 0.001; I²: 62%) and its subgroup which comprised of mortality (RR 2.12 [1.44, 3.11], p < 0.001; I²: 72%), severe COVID-19 (RR 2.45 [1.79, 3.35], p < 0.001; I²: 45%), ARDS (RR 4.64 [1.86, 11.58], p = 0.001; I²: 9%), and disease progression (RR 3.31 [1.08, 10.14], p = 0.04; I²: 0%). Meta-regression showed that the association with composite poor outcome was influenced by age (p = 0.003) and hypertension (p < 0.001). Subgroup analysis showed that the association was weaker in studies with median age ≥55 years-old (RR 1.92) compared to <55 years-old (RR 3.48), and in prevalence of hypertension ≥25% (RR 1.93) compared to <25% (RR 3.06). Subgroup analysis on median age <55 years-old and prevalence of hypertension <25% showed strong association (RR 3.33)ConclusionDM was associated with mortality, severe COVID-19, ARDS, and disease progression in patients with COVID-19.     

Statin and outcomes of coronavirus disease 2019 (COVID-19): A systematic review,meta-analysis,and meta-regression

AimsOne of the comorbidities associated with severe outcome and mortality of COVID-19 is dyslipidemia. Statin is one of the drugs which is most commonly used for the treatment of dyslipidemic patients. This study aims to analyze the association between statin use and composite poor outcomes of COVID-19.Data synthesisWe systematically searched the PubMed and Europe PMC database using specific keywords related to our aims until November 25th, 2020. All articles published on COVID-19 and statin were retrieved. Statistical analysis was done using Review Manager 5.4 and Comprehensive Meta-Analysis 3 software.ResultsA total of 35 studies with a total of 11, 930, 583 patients were included in our analysis. Our meta-analysis showed that statin use did not improve the composite poor outcomes of COVID-19 [OR 1.08 (95% CI 0.86–1.35), p = 0.50, I² = 98%, random-effect modelling]. Meta-regression showed that the association with composite poor outcomes of COVID-19 was influenced by age (p = 0.010), gender (p = 0.045), and cardiovascular disease (p = 0.012). Subgroup analysis showed that the association was weaker in studies with median age ≥60 years-old (OR 0.94) compared to <60 years-old (OR 1.43), and in the prevalence of cardiovascular disease ≥25% (RR 0.94) compared to <25% (RR 1.24).ConclusionStatin use did not improve the composite poor outcomes of COVID-19. Patients with dyslipidemia should continue taking statin drugs despite COVID-19 infection status, given its beneficial effects on cardiovascular outcomes.     

Preoperative platelet-to-lymphocyte ratio improves the performance of the international consensus guidelines in predicting malignant pancreatic cystic neoplasms

IntroductionTo determine if neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were predictive of malignancy in pancreatic cystic neoplasms (PCN) and if these improved the performance of the international consensus guidelines (ICG) in the initial triage of these patients.Methods318 patients with surgically-treated suspected PCN were retrospectively reviewed. Malignant neoplasms were defined as neoplasms harbouring invasive carcinoma. The optimal cut-off for NLR and PLR were determined by plotting the receiver operating characteristics (ROC) curves of NLR/PLR in predicting malignant PCN and utilizing the Youden index.ResultsThe optimal NLR and PLR cut-offs were determined to be 3.33 and 205, respectively. Univariate analyses demonstrated that symptomatic PCNs, age, obstructive jaundice, presence of solid component, dilatation of main pancreatic duct ≥10 mm, high NLR and high PLR were predictive of a malignant PCN. Multivariate analyses demonstrated that obstructive jaundice, presence of solid component, MPD ≥10 mm and high PLR but not NLR were independent predictors of a malignant PCN. A high PLR significantly predicted invasive carcinoma in patients classified within the ICG^HR group. Comparison between the ROC curves of the ICG versus ICG plus high PLR in predicting malignant PCN demonstrated a significant improvement in the accuracy of the ICG when PLR was included [AUC 0.784 (95% CI: 0.740–0.829) vs AUC 0.822 (95% CI: 0.772–0.872) (p = 0.0032)].ConclusionsHigh PLR is an independent predictor of malignancy in PCN. The addition of PLR as a criterion to the ICG improved the accuracy of these guidelines in detecting invasive neoplasms.     

A predictive score for COVID-19 diagnosis using clinical,laboratory and chest image data

ObjectivesDifferential diagnosis of COVID-19 includes a broad range of conditions. Prioritizing containment efforts, protective personal equipment and testing can be challenging. Our aim was to develop a tool to identify patients with higher probability of COVID-19 diagnosis at admission.MethodsThis cross-sectional study analyzed data from 100 patients admitted with suspected COVID-19. Predictive models of COVID-19 diagnosis were performed based on radiology, clinical and laboratory findings; bootstrapping was performed in order to account for overfitting.ResultsA total of 29% of patients tested positive for SARS-CoV-2. Variables associated with COVID-19 diagnosis in multivariate analysis were leukocyte count ≤7.7 × 10³ mm^–3, LDH >273 U/L, and chest radiographic abnormality. A predictive score was built for COVID-19 diagnosis, with an area under ROC curve of 0.847 (95% CI 0.77–0.92), 96% sensitivity and 73.5% specificity. After bootstrapping, the corrected AUC for this model was 0.827 (95% CI 0.75–0.90).ConclusionsConsidering unavailability of RT-PCR at some centers, as well as its questionable early sensitivity, other tools might be used in order to identify patients who should be prioritized for testing, re-testing and admission to isolated wards. We propose a predictive score that can be easily applied in clinical practice. This score is yet to be validated in larger populations.     

Predictability of early changes in derived neutrophil-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio in patients with advanced non-small cell lung cancer treated with immune checkpoint inhibitors

BackgroundAs association between systemic inflammation and disease progression has been suggested, early changes in neutrophil-to-lymphocyte ratio (NLR) and derived NLR (dNLR) may have accurate predictability for prognosis in non-small cell lung cancer (NSCLC) treated with ICI therapy.MethodsComplete blood count (CBC) was measured immediately before the first and second cycles of ICI therapy in patients with advanced NSCLC. Differences in NLR and dNLR were measured. When the increase in NLR was ≥1, the patient was classified into the increased NLR group. Similarly, when the increase in dNLR was ≥1, the patient was classified into the increased dNLR group; otherwise, they were classified into the non-increased NLR or dNLR group.ResultsA total of 89 patients was selected for evaluation. Median progression-free survival (PFS) was significantly shorter in the increased NLR group than in the non-increased NLR group (2.6 vs. 9.5 months, P<0.001). The increased dNLR group showed significantly shorter median PFS than the non-increased dNLR group (4.2 vs. 9.2 months, P=0.001). Association with PFS was analyzed using the Cox regression model. In model 1, increase ≥1 in NLR showed significant association (HR =3.085, 95% CI, 1.657–5.742, P<0.001). In model 2, increase ≥1 in dNLR showed significant association (HR =2.826, 95% CI, 1.436–5.561, P=0.003).ConclusionsEarly changes in dNLR were shown to have prognostic value in patients undergoing immunotherapy. It can be an accurate and a comprehensive biomarker for predicting ICI response.     

Prevalence and clinical outcomes of cardiac injury in patients with COVID-19: A systematic review and meta-analysis

Background and aimsEmerging data have linked the presence of cardiac injury with a worse prognosis in novel coronavirus disease 2019 (COVID-19) patients. However, available data cannot clearly characterize the correlation between cardiac injury and COVID-19. Thus, we conducted a meta-analysis of recent studies to 1) explore the prevalence of cardiac injury in different types of COVID-19 patients and 2) evaluate the association between cardiac injury and worse prognosis (severe disease, admission to ICU, and mortality) in patients with COVID-19.Methods and resultsLiterature search was conducted through PubMed, the Cochrane Library, Embase, and MedRxiv databases. A meta-analysis was performed with Stata 14.0. A fixed-effects model was used if the I² values ≤ 50%, otherwise the random-effects model was performed. The prevalence of cardiac injury was 19% (95% CI: 0.15–0.22, and p < 0.001) in total COVID-19 patients, 36% (95% CI: 0.25–0.47, and p < 0.001) in severe COVID-19 patients, and 48% (95% CI: 0.30–0.66, and p < 0.001) in non-survivors. Furthermore, cardiac injury was found to be associated with a significant increase in the risk of poor outcomes with a pooled effect size (ES) of 8.46 (95% CI: 3.76–19.06, and p = 0.062), severe disease with an ES of 3.54 (95% CI: 2.25–5.58, and p < 0.001), admission to ICU with an ES of 5.03 (95% CI: 2.69–9.39, and p < 0.001), and mortality with an ES of 4.99 (95% CI: 3.38–7.37, and p < 0.001).ConclusionsThe prevalence of cardiac injury was greatly increased in COVID-19 patients, particularly in patients with severe disease and non-survivors. COVID-19 patients with cardiac injury are more likely to be associated with poor outcomes, severity of disease, admission to ICU, and mortality.     

Elevated interleukin levels are associated with higher severity and mortality in COVID 19 – A systematic review,meta-analysis,and meta-regression

Background and aimsCOVID 19 pneumonia commonly leads to ARDS. The occurrence of ARDS in COVID 19 patients is thought to occur secondary to an exaggerated immunologic response. In this meta-analysis, we aim to comprehensively study the various levels of immunological parameters in patients with COVID 19.Materials and methodsWe performed a systematic literature search from PubMed, EuropePMC, SCOPUS, Cochrane Central Database, and medRxiv with the search terms, “COVID-19” and “Interleukin”. The outcome of interest was prognosis in COVID 19 patients.ResultsWe performed meta analysis of 16 studies. Higher counts of CD4 and CD8 with Lower Levels of TNF-a, IL2R, IL6, IL8 were observed on patients with good prognosis compared to patients with poor prognosis; −0.57 (pg/mL) (−1.10, −0.04, p = 0.04), (I² 91%, p < 0.001); −579.84 (U/mL) (−930.11, −229.57, p < 0.001), (I² 96%, p < 0.001); −1.49 (pg/mL) (−1.97, −1.01, p < 0.001), (I² 94%, p < 0.001); −0.80 (pg/mL) (−1.21, −0.40, p < 0.001), (I2 79%, p < 0.001); −2.51 (pg/mL) (−3.64, −1.38, p < 0.00001), (I² 98%, p < 0.001) respectively. Meta-regression showed age and hypertension (coefficient: 1.99, and −1.57, p = 0.005, and 0.006) significantly influenced association between IL-6 and poor outcome.ConclusionElevated immune response to coronavirus occurs in COVID 19 patients. Higher counts of CD4 and CD8 were seen in patients with good prognosis compared to patients with poor prognosis, with Lower levels of TNF-a, IL2R, IL6, IL8, were observed in patients with good prognosis compared to patients with poor prognosis.     

Thyroid disease and hypothyroidism are associated with poor COVID-19 outcomes: A systematic review,meta-analysis,and meta-regression

Background and aimsCoronavirus disease (COVID-19) still becomes a global burden that affected people in different groups. The aim of this study was to evaluate the association between thyroid disease and the outcome of COVID-19 patients.MethodThis was a meta-analysis study from articles obtained through a systematic literature search to investigate the relationship between thyroid disease and COVID-19 outcomes. Composite poor outcomes comprised of severity, mortality, intensive care unit (ICU) admission, and hospitalization.ResultsA total of 31339 patients from 21 studies included in this study. Thyroid disorder was associated with increased composite poor outcome (risk ratio (RR) 1.87 [95% confidence interval (CI) 1.53, 2.27], p < 0.001; I2 = 84%, p < 0.01), this included higher disease severity (RR 1.92 [1.40, 2.63], p < 0.05; I2 = 86%, p < 0.01), ICU admission (RR 1.61 [1.12, 2.32], p > 0.05; I2 = 32%, p < 0.05), mortality (RR 2.43 [1.44, 4.13], p < 0.05; I2 = 83%, p < 0.01), and hospitalization (RR 1.28 [1.17, 1.39], p < 0.05; I2 = 0%, p < 0.96). Meta-regression analysis indicated that age (p = 0.002) was a significant influence that affects the association. Also, the presence of unspecified thyroid disease (RR 1.91 [1.38, 2.65], p < 0.05; I2 = 81%, p < 0.01) and hypothyroidism (RR 1.90 [1.45, 2.55], p < 0.05; I2 = 85%, p < 0.01) during admission were associated with poor outcomes.ConclusionThyroid abnormalities increased the risk of COVID-19 composite poor outcomes and were influenced by the patient's age. Abnormal thyroid and hypothyroidism, but not hyperthyroidism, were associated with poor COVID-19 outcomes.     

The use of renin angiotensin system inhibitor on mortality in patients with coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis

Backgroundand Aims; To investigate the association between use of angiotensin-converting enzyme inhibitor (ACEI)/angiotensin-receptor blocker (ARB) and outcomes of hypertensive COVID-19 patients, a systematic review and meta-analysis were performed.MethodsWe systematically searched PubMed, EuropePMC, ProQuest, and Cochrane Central Databases using the terms “(COVID-19 OR SARS-CoV-2) AND (angiotensin converting enzyme OR angiotensin receptor blocker)”. The primary and second outcomes were mortality (non-survivor) and severe COVID-19, respectively.ResultsTotally, 7410 patients were included from 15 studies. Pooled analysis showed that the use of ACEI/ARB was not associated with mortality (OR 0.73 [0.38, 1.40], p = 0.34; I²: 81%) and severity (OR 1.03 [0.73, 1.45], p = 0.87; I²: 65%). Pooled adjusted OR showed no risk/benefit associated with ACEI/ARB use in terms of mortality (OR 0.83 [0.54, 1.27], p = 0.38; I²: 0%). Subgroup analysis showed that the use of ARB was associated with reduced mortality (OR 0.51 [0.29, 0.90], p = 0.02; I²: 22%) but not ACEI subgroup (OR 0.68 [0.39, 1.17], p = 0.16; I²: 0%). Meta-regression showed that the association between ACEI/ARB use and mortality in patients with COVID-19 do not varies by gender (p = 0.104). GRADE showed a very low certainty of evidence for effect of ACEI/ARB on mortality and severity. The certainty of evidence was very low for both ACEI and ARB subgroups.ConclusionAdministration of a renin angiotensin system (RAS) inhibitor, was not associated with increased mortality or severity of COVID-19 in patients with hypertension. Specifically, ARB and not ACEI use, was associated with lower mortality.     

Effect of colchicine on mortality in patients with COVID-19 – A systematic review and meta-analysis

Background and aimThis systematic review and meta-analysis aimed to evaluate the latest evidence on the association between colchicine and mortality in patients with COVID-19.MethodsWe performed a comprehensive literature search from the PubMed, Scopus, Embase, EuropePMC, and Clinicaltrials.gov up until 02 January 2022. We include randomized controlled trials (RCTs) and observational studies reporting colchicine use in patients with COVID-19 and mortality within 30 days. The intervention group was patients given colchicine during the course of treatment. The control group was patients given placebo or standard of care at the respective institutions. The outcome was mortality. The effect estimate was reported as risk ratio (RR).ResultsThere were 12 studies comprising of 6953 patients included in this meta-analysis. Mortality rate was 0.18 [95%CI 0.10, 0.26] in the colchicine group and 0.26 [95%CI 0.15, 0.38] in the control group. Colchicine was associated with reduction in mortality (RR 0.66 [95%CI 0.53, 0.83], p < 0.001; I²: 42%). Sensitivity analysis using fixed-effect model (RR 0.73 [95%CI 0.63, 0.83], p < 0.001; I²: 42%. Subgroup analysis on the four RCTs showed non-significant result (RR 0.81 [95%CI 0.54, 1.20], p = 0.29; I²: 10%). Meta-regression showed that the association between colchicine and reduced mortality was not affected by age (p = 0.613) [Fig. 3], sex (p = 0.915), diabetes (p = 0.795), and hypertension (p = 0.403).ConclusionThough the meta-analysis showed decreased mortality with colchicine in patients with COVID-19, the meta-analysis of randomized trials did not show any significant effect of colchicine on mortality.     

Value of hematological parameters as biomarkers of disease manifestations and severity in systemic sclerosis

Aim of the workTo investigate the value of neutrophil- lymphocyte ratio (NLR), platelet- lymphocyte ratio (PLR), red blood cell distribution width (RDW), mean platelet volume (MPV) as biomarkers of disease severity and clinical manifestations in systemic sclerosis (SSc).Patients and methodsThis study included 35 SSc patients, together with 45 controls. Disease severity was assessed by Medsger severity score (MSS). NLR, PLR, MPV, RDW were measured by COULTER LH 750 assay analyzer.ResultsThe mean age of SSc patients and controls was 42.8 ± 12.6 and 40.8 ± 9.7 years respectively. MPV, RDW, NLR, PLR were significantly higher in patients compared to controls (p = 0.03, < 0.001, <0.001, 0.02). NLR, PLR were significantly higher in patients presenting with myositis (p = 0.002, 0.004), and proximal muscle weakness on MSS (p = 0.009, 0.02). NLR was significantly higher in patients with severe peripheral vascular ischemia (p = 0.02). RDW was significantly higher in patients with higher general MSS (p = 0.03) NLR, PLR were significantly positively correlated with severity of muscle weakness (p = 0.001, 0.004), RDW was significantly associated with general MSS (p = 0.002). NLR and PLR were the valuable predictors of muscle involvement (p = 0.003, 0.005) and severity of muscle weakness (p = 0.001, 0.003).ConclusionMPV, RDW, NLR, PLR were significantly higher in SSc patients suggesting their role as biomarkers reflecting the enduring inflammatory process in SSc. Increased NLR and PLR were related to muscular involvement, and severity of muscular weakness. Increased NLR predicted severity of peripheral vascular ischemia and elevated RDW predicted general severity, MPV did not predict severity or disease manifestations of SSc.     

The combination of systemic inflammation-based marker NLR and circulating regulatory T cells predicts the prognosis of resectable pancreatic cancer patients

BackgroundThe systemic inflammation response and immune impairment are closely related to the development and progression of various tumours, such as pancreatic cancer. In this study, we evaluated circulating inflammation factors and circulating regulatory T cells (Tregs) as markers of immunosuppression in a cohort of Chinese patients with resectable pancreatic cancer.MethodsSamples were retrospectively collected from a series of 195 pathological stage I/II pancreatic cancer patients who underwent potentially curative surgery between June 2010 and April 2014. To examine the prognostic factors, circulating systemic inflammation-based markers and Tregs, detected by flow cytometry, were analysed.ResultsUnivariate analyses revealed that the neutrophil-lymphocyte ratio (NLR), TNM stage, differentiation, chemotherapy, CA19-9 levels and presence of Tregs are significantly associated with overall survival in patients with resectable pancreatic cancers. NLR (p = 0.001, HR = 0.538), TNM stage (p = 0.004, HR = 0.593), differentiation (p = 0.011, HR = 0.46), chemotherapy (p = 0.006, HR = 0.516) and Tregs (p = 0.001, HR = 0.558) are identified as independent prognostic markers by multivariate analyses. Interestingly, we also found that high NLR levels combined with a high proportion of Tregs (p < 0.001, HR = 3.521) correlate strongly with worse survival, with a greater than 3.5–fold increased risk of death compared with those with concurrent low levels of NLR and Tregs.ConclusionsThe preoperative NLR and circulating regulatory T cells are potentially independent prognostic factors for overall survival in resectable pancreatic cancer patients. High NLR levels combined with poor immune state before surgery, as measured by Tregs, are associated with an extremely poor prognosis.     

Alterations in the lipid profile associate with a dysregulated inflammatory,prothrombotic, anti-fibrinolytic state and development of severe acute kidney injury in coronavirus disease 2019 (COVID-19): A study from Cincinnati,USA

Background and aimsReduction of atherogenic lipoproteins is often the ultimate goal of nutritional interventions, however this is complicated given that hypolipidemia is frequently observed in coronavirus disease 2019 (COVID-19) patients. We aimed to explore the association of hypolipidemia with patient outcomes in terms of immunothrombosis and multiorgan injury, focusing on specialized apolipoproteins apo A1 and apo B.MethodsLipid profiles of 50 COVID-19 patients and 30 sick controls presenting to the Emergency Department (ED) were measured in this prospective observational study. The primary outcome was development of severe acute kidney injury (AKI). Need for hospitalization and ICU admission were secondary outcomes. Lipoproteins were analyzed for independent association with serum creatinine (SCr) increase ratio and correlated with a wide panel of biomarkers.ResultsCOVID-19 cohort had significantly lower apo A1 (p = 0.006), and higher apo B/apo A1 ratio (p = 0.041). Patients developing severe AKI had significantly lower LDL-C (p = 0.021). Apo B/apo A1 was associated with 2.25-fold decrease in serum SCr increase ratio, while LDL-C with a 1.5% decrease. Hypolipidemia correlated with low plasminogen, ADAMTS13 activity/VWF:Ag, and high inflammatory biomarkers (CRP, IL-6, IL-8, IL-10), plasminogen activator inhibitor-1 (PAI-1), ED creatinine, and SCr increase ratio.ConclusionAlthough favored in dietetics, findings of a low LDL-C in COVID-19 patients should be alarming in light of our observations. Low apo B/apo A1 ratio and LDL-C are predictive of renal deterioration in COVID-19 patients, and low LDL-C in particular may potentially serve to indicate COVID-19 related AKI driven by disrupted fibrinolysis and a secondary thrombotic microangiopathy-like process.     

Sex-Related Differences of Coronary Atherosclerosis Regression Following Maximally Intensive Statin Therapy: Insights From SATURN

ObjectivesThe study sought to explore sex-related differences in coronary atheroma regression following high-intensity statin therapy.BackgroundGuidelines now recommend high-intensity statins in all individuals with atherosclerotic cardiovascular disease.MethodsSATURN (Study of Coronary Atheroma by Intravascular Ultrasound: Effect of Rosuvastatin Versus Atorvastatin) employed serial intravascular ultrasound measures of coronary atheroma volume in patients treated with rosuvastatin 40 mg or atorvastatin 80 mg for 24 months. The treatment groups did not differ significantly in change from baseline of percent atheroma volume (PAV) or total atheroma volume (TAV) on intravascular ultrasound, nor in safety or clinical outcomes.ResultsCompared with men (n = 765), women (n = 274) were older (p < 0.001) and more likely to have hypertension (p < 0.001), diabetes (p = 0.002), and higher low-density lipoprotein cholesterol (LDL-C) (p = 0.01), high-density lipoprotein cholesterol (p < 0.001), and C-reactive protein (CRP) (p = 0.004) levels. At follow-up, women had higher high-density lipoprotein cholesterol (p < 0.001) and CRP (p < 0.001), but similar LDL-C (p = 0.46) levels compared with men. Compared with men, women had lower baseline PAV (34.0 ± 8.0% vs. 37.2 ± 8.2%, p < 0.001) and TAV (122.4 ± 55 mm³ vs. 151.9 ± 63 mm³, p < 0.001), yet demonstrated greater PAV regression (–1.52 ± 0.18% vs. –1.07 ± 0.10%, p = 0.03) and TAV regression (–8.27 ± 0.9 mm³ vs. –6.59 ± 0.50 mm³, p = 0.11) following treatment. Greater PAV regression in women versus men occurred with rosuvastatin (p = 0.004), those with diabetes (p = 0.01), stable coronary disease (p = 0.01), higher baseline LDL-C (p = 0.02), and higher CRP (p = 0.04) levels. On multivariable analysis, female sex was independently associated with PAV regression (p = 0.01), and a sex-treatment interaction was found (p = 0.036). For participants with on-treatment LDL-C levels <70 mg/dl, women achieved greater PAV regression (–1.81 ± 0.22% vs. –1.12 ± 0.13%, p = 0.007) and TAV regression (–10.1 ± 1.1 mm³ vs. –7.16 ± 0.65 mm³, p = 0.023) than men, whereas PAV and TAV regression did not differ by sex, with LDL-C levels ≥70 mg/dl.ConclusionsWomen with coronary disease demonstrate greater coronary atheroma regression than men when empirically prescribed guideline-driven potent statin therapy. This benefit appears in the setting of lower on-treatment LDL-C levels. (CRESTOR Athero Imaging Head to Head IVUS Study [SATURN]; NCT000620542)