The Effects of GCSF Primary Prophylaxis on Survival Outcomes and Toxicity in Patients with Advanced Non-Small Cell Lung Cancer on First-Line Chemoimmunotherapy: A Sub-Analysis of the Spinnaker Study.

GCSF prophylaxis is recommended in patients on chemotherapy with a >20% risk of febrile neutropenia and is to be considered if there is an intermediate risk of 10−20%. GCSF has been suggested as a possible adjunct to immunotherapy due to increased peripheral neutrophil recruitment and PD-L1 expression on neutrophils with GCSF use and greater tumour volume decrease with higher tumour GCSF expression. However, its potential to increase neutrophil counts and, thus, NLR values, could subsequently confer poorer prognoses on patients with advanced NSCLC. This analysis follows on from the retrospective multicentre observational cohort Spinnaker study on advanced NSCLC patients. The primary endpoints were OS and PFS. The secondary endpoints were the frequency and severity of AEs and irAEs. Patient information, including GCSF use and NLR values, was collected. A secondary comparison with matched follow-up duration was also undertaken. Three hundred and eight patients were included. Median OS was 13.4 months in patients given GCSF and 12.6 months in those not (p = 0.948). Median PFS was 7.3 months in patients given GCSF and 8.4 months in those not (p = 0.369). A total of 56% of patients receiving GCSF had Grade 1−2 AEs compared to 35% who did not receive GCSF (p = 0.004). Following an assessment with matched follow-up, 41% of patients given GCSF experienced Grade 1−2 irAEs compared to 23% of those not given GCSF (p = 0.023). GCSF prophylaxis use did not significantly affect overall or progression-free survival. Patients given GCSF prophylaxis were more likely to experience Grade 1−2 adverse effects and Grade 1−2 immunotherapy-related adverse effects.

Neutrophil Lymphocyte Ratio (NLR) as a Predictor of Disease Severity and Mortality in Geriatric Patients with COVID-19

Introduction: COVID-19 pandemic affected 44,696,984 people in India Geriatric (age 60 years and above) population is increasing globally. Older adults have been affected badly with COVID-19 Neutrophil lymphocyte ratio (NLR) is used in several diseases as an inflammatory marker in predicting prognosis. According to a recent study patients with severe COVID-19 are reported to have higher Neutrophil lymphocyte ratio ( NLR). In this study we aimed to assess the accuracy of Neutrophil lymphocyte ratio (NLR) as a predictor of disease severity and mortality in geriatric patients with COVID-19. Material(s) and Method(s): 200 geriatric inpatients infected with COVID-19 were included in the study. Neutrophil lymphocyte ratio (NLR) at admission was recorded. Neutrophil lymphocyte ratio (NLR) cutoff was taken 3.5. Patients were categorized into mild, moderate, severe and critical cases according to criteria given by Maharashtra Task Force. Relationship between Neutrophil lymphocyte ratio (NLR) and disease outcome was assessed. A p value < 0.05 was taken as statistically significant. Result(s): The mean age of study sample was 69.00 +/-7.09 years. A significant association was found between Neutrophil lymphocyte ratio (NLR) and disease severity (p-0.048) as well as mortality (p-0.041).Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.

Associations of the neutrophil/lymphocyte ratio, monocyte/ lymphocyte ratio, and platelet/lymphocyte ratio with COVID-19 disease severity in patients with neurological symptoms: A cross-sectional monocentric study.

Objectives: Data are limited regarding the relationship of neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), and platelet/ lymphocyte ratio (PLR) with neurological symptoms (NS) in COVID-19 patients. This study is the first to assess the utility of the NLR, MLR, and PLR for predicting COVID-19 severity in infected patients with NS. Materials and Methods: Consecutive 192 PCR-positive COVID-19 patients with NS were included in this cross-sectional and prospective study. The patients were classified into the non-severe and severe groups. We analyzed routinely complete blood count in these groups in terms of COVID-19 disease severity. Results: Advanced age, a higher body mass index, and comorbidities were significantly more common in the severe group (P < 0.001). Among the NS, anosmia (P = 0.001) and memory loss (P = 0.041) were significantly more common in the non-severe group. In the severe group, the lymphocytes and monocyte counts and the hemoglobin level were significantly lower, while the neutrophil count, NLR, and PLR were significantly higher (all P < 0.001). In the multivariate model, advanced age and a higher neutrophil count were independently associated with severe disease (both P < 0.001) but the NLR and PLR were not (both P > 0.05). Conclusion: We found positive associations of COVID-19 severity with the NLR and PLR in infected patients with NS. Further research is required to shed more light on the role of neurological involvement in disease prognosis and outcomes.

COVID-19 Biomarkers at the Crossroad between Patient Stratification and Targeted Therapy: The Role of Validated and Proposed Parameters.

Clinical knowledge about SARS-CoV-2 infection mechanisms and COVID-19 pathophysiology have enormously increased during the pandemic. Nevertheless, because of the great heterogeneity of disease manifestations, a precise patient stratification at admission is still difficult, thus rendering a rational allocation of limited medical resources as well as a tailored therapeutic approach challenging. To date, many hematologic biomarkers have been validated to support the early triage of SARS-CoV-2-positive patients and to monitor their disease progression. Among them, some indices have proven to be not only predictive parameters, but also direct or indirect pharmacological targets, thus allowing for a more tailored approach to single-patient symptoms, especially in those with severe progressive disease. While many blood test-derived parameters quickly entered routine clinical practice, other circulating biomarkers have been proposed by several researchers who have investigated their reliability in specific patient cohorts. Despite their usefulness in specific contexts as well as their potential interest as therapeutic targets, such experimental markers have not been implemented in routine clinical practice, mainly due to their higher costs and low availability in general hospital settings. This narrative review will present an overview of the most commonly adopted biomarkers in clinical practice and of the most promising ones emerging from specific population studies. Considering that each of the validated markers reflects a specific aspect of COVID-19 evolution, embedding new highly informative markers into routine clinical testing could help not only in early patient stratification, but also in guiding a timely and tailored method of therapeutic intervention.

Platelet-albumin-bilirubin score and neutrophil-to-lymphocyte ratio predict intensive care unit admission in patients with end-stage kidney disease infected with the Omicron variant of COVID-19: a single-center prospective cohort study.

OBJECTIVES: The objective of this study was to develop clinical scores to predict the risk of intensive care unit (ICU) admission in patients with COVID-19 and end stage kidney disease (ESKD). METHODS: This was a prospective study in which 100 patients with ESKD were enrolled and divided into two groups: the ICU group and the non-ICU group. We utilized univariate logistic regression and nonparametric statistics to analyze the clinical characteristics and liver function changes of both groups. By plotting receiver operating characteristic curves, we identified clinical scores that could predict the risk of ICU admission. RESULTS: Out of the 100 patients with Omicron infection, 12 patients were transferred to the ICU due to disease aggravation, with an average of 9.08 days from hospitalization to ICU transfer. Patients transferred to the ICU more commonly experienced shortness of breath, orthopnea, and gastrointestinal bleeding. The peak liver function and changes from baseline in the ICU group were significantly higher, with p values <.05. We found that the baseline platelet-albumin-bilirubin score (PALBI) and neutrophil-to-lymphocyte ratio (NLR) were good predictors of ICU admission risk, with area under curve values of 0.713 and 0.770, respectively. These scores were comparable to the classic Acute Physiology and Chronic Health Evaluation II (APACHE-II) score (p > .05). CONCLUSION: Patients with ESKD and Omicron infection who are transferred to the ICU are more likely to have abnormal liver function. The baseline PALBI and NLR scores can better predict the risk of clinical deterioration and early transfer to the ICU for treatment.

Predictive Value of Neutrophil-to-Lymphocyte Ratio at Admission for Chest X-Ray Progression in Hospitalized COVID-19 Patients

Objective: Previous studies focused on using the neutrophil-to-lymphocyte ratio (NLR) to monitor COVID-19 patients as an early warning signal of severe COVID-19 infection. Results showed that NLR could also be used as a prognostic factor. In the present study, the role of NLR in predicting chest X-ray (CXR) progression in hospitalized COVID-19 patients was investigated. Material(s) and Method(s): The present study was an ambispective observational cohort study that included COVID-19 patients admitted to the isolation ward and COVID-19 intensive care unit between July and September 2021 in Buddhasothorn Hospital, Chachoengsao, Thailand. NLR and demographic findings were analyzed. Result(s): Medical details of 564 patients were retrospectively analyzed using 3.24 as the cut-off value of the maximum Youden index to classify a high NLR group and a low NLR group. The estimated cumulative hazard function for CXR progression in the high NLR group was statistically significant, (HR 1.31, 95% CI 1.02 to 1.68, p=0.031). Univariate analysis suggested that high NLR value and three or more clinical risk factors (age 60 years or older, diabetes mellitus, chronic obstructive pulmonary disease, chronic kidney disease, cirrhosis, stroke, obesity, and immunocompromised) were associated with CXR progression, while multivariate analysis determined high NLR as an independent predictive marker for COVID-19 CXR progression (aOR 1.54, 95% CI 1.06 to 2.23, p=0.022). Using NLR along with pre-existing comorbidity risk factors significantly increased the predictive value for COVID-19 CXR progression (area under the ROC curve 0.565, p=0.017). Conclusion(s): High NLR at the time of hospitalization was identified as a simple predictor for COVID-19 CXR progression requiring close monitoring.Copyright © 2023 JOURNAL OF THE MEDICAL ASSOCIATION OF THAILAND.

Value of Laboratory Indicators in Predicting Pneumonia in Symptomatic COVID-19 Patients Infected with the SARS-CoV-2 Omicron Variant.

Background: The pathogenicity of Omicron is different from that of the previous strains. The value of hematological indicators in patients at high risk of Omicron infection remains unclear. We need rapid, inexpensive and widely available biomarkers to guide the early detection of people at risk of pneumonia and to provide early intervention. We aimed to assess the value of hematological indicators as risk factors for pneumonia in symptomatic COVID-19 patients infected with the SARS-CoV-2 Omicron variant. Patients and Methods: The study enrolled 144 symptomatic COVID-19 patients with Omicron infection. We collected available clinical details, including laboratory tests and CT examinations. Univariate and multivariate logistic analyses and receiver operating characteristic (ROC) curve analyses were used to assess the value of laboratory markers in predicting the development of pneumonia. Results: Among the 144 patients, 50 (34.7%) had pneumonia. The ROC analysis revealed that the areas under the ROC curve (AUC) for leukocytes, lymphocytes, neutrophils, and fibrinogen were 0.603 (95% confidence interval (CI): 0.501-0.704, P=0.043), 0.615 (95% CI: 0.517-0.712, P=0.024), 0.632 (95% CI: 0.534-0.730, P=0.009) and 0.635 (95% CI: 0.539-0.730, P=0.008), respectively. The AUC for neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), fibrinogen to lymphocyte ratio (FLR), and fibrinogen to D-dimer ratio (FDR) were 0.670 (95% CI: 0.580-0.760, P=0.001), 0.632 (95% CI: 0.535-0.728, P=0.009), 0.669 (95% CI: 0.575-0.763, P=0.001) and 0.615 (95% CI: 0.510-0.721, P=0.023), respectively. Univariate analysis showed that elevated levels of NLR (odds ratio (OR): 1.219, 95% CI: 1.046-1.421, P=0.011), FLR (OR: 1.170, 95% CI: 1.014-1.349, P=0.031) and FDR (OR: 1.131, 95% CI: 1.039-1.231, P=0.005) were significantly correlated with the presence of pneumonia. Multivariate analysis indicated elevated NLR (OR: 1.248, 95% CI: 1.068-1.459, P=0.005) and FDR (OR: 1.160, 95% CI: 1.054-1.276, P=0.002) levels were associated with the existence of pneumonia. The AUC for the combination of NLR and FDR was 0.701 (95% CI: 0.606-0.796, P<0.001, sensitivity 56.0%, specificity 83.0%). Conclusion: NLR and FDR can predict the presence of pneumonia in symptomatic COVID-19 patients infected with the SARS-CoV-2 Omicron variant.

Factors Affecting Duration of Hospital Stay in Deceased COVID-19 Patients.

Objective: Extensive research has been conducted to identify the predictive criteria for COVID-19 disease. White blood cell, C-reactive protein, CRP/albumin ratio, neutrophil-to-lymphocyte ratio and ferritin are among the indicators of increased inflammatory response; hence, they could be used to determine the prognosis of COVID-19 cases. Within the scope of this study, we aimed to elucidate the predictivity of NLR, CAR and other laboratory parameters on the duration of hospital stay and mortality in patients with COVID-19. Materials and Method: The data of 1516 COVID-19 patients who were hospitalized in our institution have been analyzed retrospectively. Patients were divided into two groups those who deceased within the first 10 days of hospitalization (Group I, ≤10 days) and those who deceased in the later period (Group II, >10 days). Age, gender, time to mortality after hospitalization, neutrophil count, CRP, neutrophil-to-lymphocyte ratio (NLR), CRP/albumin ratio (CAR), and d-dimer values were obtained from blood samples taken during hospitalization. Results: NLR and CAR values were significantly higher in those who died in the first 10 days compared to the other group (p<0.02 and p<0.001, respectively). In addition, WBC, neutrophil, CRP and d-dimer levels were statistically significantly higher than the other group (p<0.05). Logistic regression analysis results for NLR and CAR were significant. The cut-off values were calculated (5.74 and 4.27, respectively) for both parameters. Among the most common comorbid diseases were hypertension (HT) in 41%, coronary artery disease (CAD) in 41.7%, asthma-chronic obstructive pulmonary disease (COPD) in 36.7%, diabetes mellitus (DM) in 36.1%. Conclusion: NLR and CAR may have a decisive influence in determining the length of stay in hospital for patients who die in hospital due to COVID-19. In addition, it is recommended that COVID-19 cases with diabetes be followed closely.

Utility of monocyte distribution width in the differential diagnosis between simple and complicated diverticulitis: a retrospective cohort study.

BACKGROUND: Colonic diverticulitis is a leading cause of abdominal pain. The monocyte distribution width (MDW) is a novel inflammatory biomarker with prognostic significance for coronavirus disease and pancreatitis; however, no study has assessed its correlation with the severity of colonic diverticulitis. METHODS: This single-center retrospective cohort study included patients older than 18 years who presented to the emergency department between November 1, 2020, and May 31, 2021, and received a diagnosis of acute colonic diverticulitis after abdominal computed tomography. The characteristics and laboratory parameters of patients with simple versus complicated diverticulitis were compared. The significance of categorical data was assessed using the chi-square or Fisher's exact test. The Mann-Whitney U test was used for continuous variables. Multivariable regression analysis was performed to identify predictors of complicated colonic diverticulitis. Receiver operator characteristic (ROC) curves were used to test the efficacy of inflammatory biomarkers in distinguishing simple from complicated cases. RESULTS: Of the 160 patients enrolled, 21 (13.125%) had complicated diverticulitis. Although right-sided was more prevalent than left-sided colonic diverticulitis (70% versus 30%), complicated diverticulitis was more common in those with left-sided colonic diverticulitis (61.905%, p = 0.001). Age, white blood cell (WBC) count, neutrophil count, C-reactive protein (CRP) level, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and MDW were significantly higher in the complicated diverticulitis group (p < 0.05). Logistic regression analysis indicated that the left-sided location and the MDW were significant and independent predictors of complicated diverticulitis. The area under the ROC curve (AUC) was as follows: MDW, 0.870 (95% confidence interval [CI], 0.784-0.956); CRP, 0.800 (95% CI, 0.707-0.892); NLR, 0.724 (95% CI, 0.616-0.832); PLR, 0.662 (95% CI, 0.525-0.798); and WBC, 0.679 (95% CI, 0.563-0.795). When the MDW cutoff was 20.38, the sensitivity and specificity were maximized to 90.5% and 80.6%, respectively. CONCLUSIONS: A large MDW was a significant and independent predictor of complicated diverticulitis. The optimal cutoff value for MDW is 20.38 as it exhibits maximum sensitivity and specificity for distinguishing between simple and complicated diverticulitis The MDW may aid in planning antibiotic therapy for patients with colonic diverticulitis in the emergency department.

The Impact of Granulocyte Colony-Stimulating Factor Administration in a Neutropenic Cancer Patient With COVID-19-Related Acute Respiratory Distress Syndrome.

Chemotherapy-induced neutropenia is a serious adverse effect found in cancer patients treated with chemotherapy. As these patients are at risk of infections, granulocyte colony-stimulating factors (G-CSF) are commonly used in these patients to increase neutrophil counts. This report describes a case of a 73-year-old female with metastatic breast cancer treated with letrozole and palbociclib who presented to the hospital with flu-like symptoms and a positive SARS-CoV-2 test. She was saturating well on room air without the need for supplemental oxygen initially, however, she was febrile and lab work revealed neutropenia. Subsequently, she was given two doses of Tbo-filgrastim. Her respiratory status deteriorated shortly afterward and she required supplemental oxygen. The chest X-ray obtained at that time revealed increased atelectasis or infiltration in the middle and lower lung fields, and computed tomography angiography of the chest revealed bilateral patchy airspace and ground glass opacities. The timeline from symptom onset along with her imaging findings suggested COVID-19-related acute respiratory distress syndrome (ARDS) as a possible explanation for her respiratory status decline. Interestingly, her neutrophil-to-lymphocyte ratio (NLR) had consistently increased, along with her respiratory status deterioration, after the completion of the two doses of G-CSF. The patient was treated with dexamethasone. Her respiratory status eventually improved prior to discharge.

The role of CD4+, CD8+, CD4+/CD8+ and neutrophile to lymphocyte ratio in predicting and determining COVID-19 severity in Indonesian patients.

BACKGROUND: Biomarkers that are cost-effective and accurate for predicting severe coronavirus disease 2019 (COVID-19) are urgently needed. We would like to assess the role of various inflammatory biomarkers on admission as disease severity predictors and determine the optimal cut-off of the neutrophile-to-lymphocyte ratio (NLR) for predicting severe COVID-19. METHODS: We conducted a cross-sectional study in six hospitals in Bali and recruited real-time PCR-confirmed COVID-19 patients aged >18 y from June to August 2020. Data collection included each patient's demographic, clinical, disease severity and hematological data. Multivariate and receiver operating characteristic curve analyses were performed. RESULTS: A total of 95 Indonesian COVID-19 patients were included. The highest NLR among severe patients was 11.5±6.2, followed by the non-severe group at 3.3±2.8. The lowest NLR was found in the asymptomatic group (1.9±1.1). The CD4+ and CD8+ values were lowest in the critical and severe disease groups. The area under the curve of NLR was 0.959. Therefore, the optimal NLR cut-off value for predicting severe COVID-19 was ≥3.55, with sensitivity at 90.9% and a specificity of 16.7%. CONCLUSIONS: Lower CD4+ and CD8+ and higher NLR values on admission are reliable predictors of severe COVID-19 among Indonesian people. NLR cut-off ≥3.55 is the optimal value for predicting severe COVID-19.

Serial Changes in Blood-Cell-Count-Derived and CRP-Derived Inflammatory Indices of COVID-19 Patients.

The aim of the study was to investigate the serial changes in inflammatory indices derived from blood cell counts and C-reactive protein (CRP) levels in COVID-19 patients with good and poor outcomes. We retrospectively analyzed the serial changes in the inflammatory indices in 169 COVID-19 patients. Comparative analyses were performed on the first and last days of a hospital stay or death and serially from day 1 to day 30 from the symptom onset. On admission, non-survivors had higher CRP to lymphocytes ratio (CLR) and multi-inflammatory index (MII) values than survivors, while at the time of discharge/death, the largest differences were found for the neutrophil to lymphocyte ratio (NLR), systemic inflammation response index (SIRI), and MII. A significant decrease in NLR, CLR, and MII by the time of discharge was documented in the survivors, and a significant increase in NLR was documented in the non-survivors. The NLR was the only one that remained significant from days 7-30 of disease in intergroup comparisons. The correlation between the indices and the outcome was observed starting from days 13-15. The changes in the index values over time proved to be more helpful in predicting COVID-19 outcomes than those measured on admission. The values of the inflammatory indices could reliably predict the outcome no earlier than days 13-15 of the disease.

The Dynamics of the Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios Predict Progression to Septic Shock and Death in Patients with Prolonged Intensive Care Unit Stay.

Background and objectives: The prognoses of patients experiencing a prolonged stay in the intensive care unit (ICU) are often significantly altered by hospital-acquired infections (HAIs), the early detection of which might be cumbersome. The aim of this study was to investigate the roles of the neutrophil-to-lymphocyte (NLR), derived-NRL (d-NLR), platelet-to-lymphocyte (PLR), and lymphocyte-to-C-reactive protein (LCR) ratios in predicting the progression to septic shock and death. Materials and Methods: A retrospective analysis of a consecutive series of ninety COVID-19 patients with prolonged hospitalization (exceeding 15 days) admitted to the ICU was conducted. The prevalence of culture-proven HAIs throughout their hospital stays was documented. NLR, dNLR, PLR, and LCR were recorded on admission, day 7, and day 14 to assess their discriminative prowess for detecting further progression to septic shock or death. Results: The prevalence of HAIs was 76.6%, 50% of patients met the criteria for septic shock, and 50% died. The median time to the first positive culture was 13.5 days and 20.5 days for developing septic shock. Mechanical ventilation was a key contributing factor to HAI, septic shock, and mortality. On admission and day 7 NLR, dNLR, PLR, and LCR values had no prognostic relevance for events occurring late during hospitalization. However, day-14 NLR, dNLR, and PLR were independent predictors for progression to septic shock and mortality and have shown good discriminative capabilities. The AUCs for septic shock were 0.762, 0.764, and 0.716, while the values for predicting in-hospital death were 0.782, 0.778, and 0.758, respectively. Conclusions: NLR, dNLR, and PLR are quick, easy-to-use, cheap, effective biomarkers for the detection of a more severe disease course, of the late development of HAIs, and of the risk of death in critically ill patients requiring a prolonged ICU stay.

Predictive value of neutrophil-to-lymphocyte ratio in terms of need for intensive care unit and mortality in maintenance hemodialysis patients with COVID-19.

INTRODUCTION: The transmission risk of Severe Acute Respiratory Syndrome Coronavirus-2 virus infection is increased in maintenance hemodialysis (MHD) patients, and also the disease causes much higher mortality than the normal population. The aim of this study is to define the predictive value of neutrophil-to-lymphocyte ratio (NLR) in terms of worse outcomes in MHD patients. METHODS: A total of 123 MHD patients who had received inpatient care due to COVID-19 infection were included in this multicentered retrospective study. Receiver operating curve analysis were plotted to illustrate C reactive protein (C-rp), systemic inflammatory index (SII) and NLR best cut-off values for estimation of need for intensive care unit (ICU) and mortality. Multivariate regression analysis and Cox proportional hazard models were constructed to determine the association between C-rp, SII and NLR and mortality. RESULTS: Twenty-eight (23%) patients with MHD were dead due to COVID-19. Nonsurvivor patients was significantly older than the survivors (p < 0.001) and also had higher rates of diabetes mellitus (p = 0.01) and coronary artery disease (p = 0.02). Cox regression analysis revealed that NLR >5.17 significantly associated with mortality [HR: 6.508, p < 0.001]. Similarly, SII > 726 [HR: 3.124, p = 0.006] and C-rp > 88 [HR: 4.590, p = 0.002] were significantly associated with mortality due to COVID-19 in hospitalized MHD patients. Multivarite logistic regression analysis showed that age older than 60 years, higher ferritin, and NLR > 5.17 were independent factors associated with mortality. CONCLUSION: NLR had favorable predictive value than the C-rp and SII in terms of need for ICU and mortality in MHD patients. Determining the poor prognosis with simple and easily applicable markers may reduce mortality in these patients with early supportive treatments.

The prognostic value of neutrophil–to-lymphocyte ratio and platelet–to-lymphocyte ratio in the severe COVID-19 cases

Aim: COVID-19 is a cause of high-mortality pandemic with the RNA virus in its etiology and has an effect all over the world. In the present study, the relationship between in-hospital prognosis and mortality was investigated by comparing neutrophil-to-lymphocyte ratio (NLR), platelet –to-lymphocyte ratio (PLR) values ​​with C-reactive protein (CRP) and with a detailed analysis of complete blood count and biochemical parameters in mild and severe COVID-19 cases.Method: A total of 271 patients who were diagnosed with pneumonia because of COVID-19 and 278 healthy control groups were included in the study. In our study, COVID-19 cases were divided into 2 groups as mild and severe, and the data were compared with healthy people without COVID-19. Lung tomography results of the cases that were diagnosed with COVID-19 were examined. Those with positive RT-PCR (Real-Time Polymerized Chain Reaction) test results were recorded from the system. Biochemical tests and complete blood count parameters of the patients, NLR/ lymphocyte- to- monocyte ratio (LMR)/PLR N/L, and CRP levels were compared with the control group. The results were evaluated and analyzed in statistical terms.Results:When all the data were analyzed, NLR/PLR and CRP levels were found to be higher at statistically significant levels in the severe patient group than in the control group, and LMR was lower (p<0.01). In ROC analysis, NLR/PLR and CRP had a high AUC (area under the curve) (0.844/0.719/0.501) and LMR had a low AUC (0.225).Conclusion: NLR and PLR might be useful in demonstrating the prognosis in severe COVID-19 cases.

Neutrophil to lymphocyte ratio and in-hospital mortality among patients with SARS-CoV-2: A retrospective study.

The goal of this study was to investigate in-hospital mortality in patients suffering from acute respiratory syndrome coronavirus 2 (SARS-CoV-2) relative to the neutrophil to lymphocyte ratio (NLR) and to determine if there are gender disparities in outcome. Between February 26 and September 8, 2020, patients having SARS-CoV-2 infection were enrolled in this retrospective cohort research, which was categorized by NLR levels ≥9 and < 9. In total, 6893 patients were involved included of whom6591 had NLR <9, and 302 had NLR ≥9. The age of most of the patients in the NLR<9 group was 50 years, on the other hand, the age of most of the NLR ≥9 group patients was between 50 and 70 years. The majority of patients in both groups were male 2211 (66.1%). The ICU admission time and mortality rate for the patients with NLR ≥9 was significantly higher compared to patients with NLR <9. Logistic regression's outcome indicated that NLR ≥9 (odds ratio (OR), 24.9; 95% confidence interval (CI): 15.5-40.0; p < 0.001), male sex (OR, 3.5; 95% CI: 2.0-5.9; p < 0.001) and haemoglobin (HB) (OR, 0.95; 95% CI; 0.94-0.96; p < 0.001) predicted in-hospital mortality significantly. Additionally, Cox proportional hazards analysis (B = 4.04, SE = 0.18, HR = 56.89, p < 0.001) and Kaplan-Meier survival probability plots also indicated that NLR>9 had a significant effect on mortality. NLR ≥9 is an independent predictor of mortality(in-hospital) among SARS-CoV-2 patients.

Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study.

Here, we performed a multicenter, age- and sex-matched study to compare the efficiency of various machine learning algorithms in the prediction of COVID-19 fatal outcomes and to develop sensitive, specific, and robust artificial intelligence tools for the prompt triage of patients with severe COVID-19 in the intensive care unit setting. In a challenge against other established machine learning algorithms (decision trees, random forests, extra trees, neural networks, k-nearest neighbors, and gradient boosting: XGBoost, LightGBM, and CatBoost) and multivariate logistic regression as a reference, neural networks demonstrated the highest sensitivity, sufficient specificity, and excellent robustness. Further, neural networks based on coronary artery disease/chronic heart failure, stage 3-5 chronic kidney disease, blood urea nitrogen, and C-reactive protein as the predictors exceeded 90% sensitivity and 80% specificity, reaching AUROC of 0.866 at primary cross-validation and 0.849 at secondary cross-validation on virtual samples generated by the bootstrapping procedure. These results underscore the impact of cardiovascular and renal comorbidities in the context of thrombotic complications characteristic of severe COVID-19. As aforementioned predictors can be obtained from the case histories or are inexpensive to be measured at admission to the intensive care unit, we suggest this predictor composition is useful for the triage of critically ill COVID-19 patients.

THE ROLE OF d-NLR, RDW AND PLR IN PREDICTING CLINICAL SEVERITY IN COVID-19 INFECTION: A SINGLE-CENTER, RETROSPECTIVE OBSERVATIONAL STUDY IN A TERTIARY CARE MEDICAL COLLEGE HOSPITAL IN CENTRAL KERALA

Background: The corona virus disease 2019 (COVID-19) caused by SARS-CoV-2 virus has been declared as a global pandemic by WHO. Various hematological parameters may be considered as useful prognostic indicators in COVID-19 infection. Material(s) and Method(s): Age, neutrophil to lymphocyte ratio (NLR), derived-NLR (d-NLR), platelet to lymphocyte ratio (PLR) and red cell distribution width (RDW) of 266 laboratory confirmed COVID-19 patients, at the time of admission, belonging to clinical category B and C were recorded and compared in this single-center, retrospective observational study. The receiver operating characteristic (ROC) curve was applied to determine the thresholds for bio-markers and their prognostic values were assessed. Result(s): A statistically significant elevated NLR (P=0.001), d-NLR ( P=0.001), PLR (P=0.001) and RDW (P=0.026) were noticed in Category C (severe) group when compared to Category B group. From the ROC curve, it was established that d-NLR, NLR and WBC count proved to be a fair distinguisher (area under the curve between 0.7- 0.8) in predicting the clinical severity in COVID-19 patients. NLR and WBC count was found to be having the highest sensitivity of 82%, while d-NLR proved to be highly specific. Elevated age was also significantly associated with illness severity (P=0.001). Conclusion(s): Elevated age, WBC count, NLR, d-NLR, RDW and PLR may be considered as useful prognostic biomarkers for predicting the severity of COVID-19 infection and adverse outcome, with NLR and WBC count showing the highest sensitivity and d-NLR with the highest specificity. Copyright © 2022 Necati Ozpinar. All rights reserved.

The Value of Early and Follow-Up Elevated Scores Based on Peripheral Complete Blood Cell Count for Predicting Adverse Outcomes in COVID-19 Patients.

Background: The ongoing COVID-19 pandemic has put a constant strain on hospital resources, so there is a dire need for investigation methods that are widely available and that can predict mortality and the need for critical care. Hematological indices, which can be easily calculated from a complete blood count (CBC), are useful in determining a patient's inflammatory response to infectious diseases. Aim: This was a prospective cohort study that aimed to assess the prognostic value of scores based on CBCs in hospitalized patients with mild or moderate COVID-19 and medical comorbidities regarding the need for intensive care unit (ICU) therapy and short-term mortality. Methods: We included 607 patients with confirmed COVID-19, followed up for the need for ICU admission (15.5%) and 30 day mortality post-discharge (21.7%). CBC-derived scores were tested upon emergency department (ED) admission and after a median of 8 days. Results: In a multivariate model, elevated followed-up neutrophil-to-lymphocyte ratio (NLR) predicted increased odds for ICU admission (OR: 1.14 [95%CI: 1.06−1.22], p < 0.001) and short-term mortality (OR: 1.30 [95%CI: 1.09−1.57], p = 0.005). Monocyte-to-lymphocyte ratio (MLR) predicted 2.5-fold increased odds for ICU admission and 2.2-fold increased odds for mortality. Conclusion: NLR and MLR followed up 8 days post-admission are predictive for adverse outcomes in mild or moderate COVID-19 patients.

Dapsone Lowers Neutrophil to Lymphocyte Ratio and Mortality in COVID-19 Patients Admitted to the ICU.

Some physicians use dapsone as part of the standard treatment of severe COVID-19 patients entering the ICU, though some do not. To obtain an indication of whether dapsone is helping or not, we undertook a retrospective chart review of 29 consecutive ICU COVID-19 patients receiving dapsone and 30 not receiving dapsone. As we previously reported, of those given dapsone, 9/29 (30%) died, while of those not given dapsone, 18/30 (60%) died. We looked back on that data set to determine if there might be basic laboratory findings in these patients that might give an indication of a mechanism by which dapsone was acting. We found that the neutrophil-to-lymphocyte ratio decreased in 48% of those given dapsone and in 30% of those not given dapsone. We concluded that dapsone might be lowering that ratio. We then reviewed collected data on neutrophil related inflammation pathways on which dapsone might act as presented here. As this was not a controlled study, many variables prevent drawing any conclusions from this work; a formal, randomized controlled study of dapsone in severe COVID-19 is warranted.