The significance of neutrophil-lymphocyte ratio, platelet-lymphocyte ratio and lymphocyte-monocyte ratio in predicting peripheral arterial disease, peripheral neuropathy, osteomyelitis and amputation in diabetic foot infection

Significance of Neutrophil to Lymphocyte Ratio (NLR) and Platelet Lymphocyte Ratio (PLR) in Diabetic Foot Ulcer and Potential New Therapeutic Targets

Diabetic foot ulcer (DFU) is a well-known complication of diabetes and a significant burden on the national health systems. The neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio are inexpensive and easily accessible biomarkers that have proved to be useful in several inflammatory, infectious and cardiovascular diseases. We carried out a comprehensive review examining the association of NLR and PLR with the onset and progression of DFU. PLR and NLR were significantly increased in patients with DFU, compared with a control group of T2DM patients without DFU, and correlate well with DFU severity, evaluated by Wagner and IWGDF grading scales. In patients with diabetic foot infections (DFI), elevated NLR and PLR were correlated with osteomyelitis, increased risk of amputation, and septic complications. The significance of the elevated value of these biomarkers in DFU is related to chronic hyperglycemia and low-grade systemic inflammation, atherosclerotic and vascular complications, and also the associated septic factor. Serial, dynamic follow-up can provide useful information in planning and monitoring DFU treatment, as well as in risk stratification of these vulnerable patients. Further randomized studies are needed to set the cut-off values with clinical significance.

Predictors of surgical management in diabetic foot infections

OBJECTIVE

Early recognition of the need for surgical intervention is crucial in terms of limiting amputation level and decreasing mortality. We aimed to determine the risk factors for limb loss in patients with diabetic foot infection (DFI).

METHOD

Data of hospitalised patients with a DFI between 2010 and 2019 were collected retrospectively from their hospital records. Clinical and laboratory findings were analysed according to the type of treatment.

RESULTS

Data were collected for 401 patients, 280 (69.8%) of whom were male. The mean age was 59.6±11.1 years. Treatment modalities included: medical treatment (36.4%); debridement/drainage (21.9%); minor amputation (17.7%); and major amputation (23.9%). Forefoot infection (odds ratio (OR): 3.347; 95% confidence interval (Cl): 1.408-7.956) and peripheral arterial disease (OR: 4.990; 95% Cl: 1.225-20.324) were found to be significant in predicting limb loss, while duration of diabetes (≥20 years) and absence of forefoot infection were significant predictors of debridement/drainage. Subgroup analysis showed that high leukocyte levels (>16.4K/μl) and forefoot infections were independent predictors for major and minor amputation, respectively.

CONCLUSION

The clinical parameters used in this study are simple, broadly available, cost-effective and promising for predicting limb loss in patients with DFI.

Predictive Value of the Naples Prognostic Score on Long-Term Outcomes in Patients with Peripheral Artery Disease Revascularized via Percutaneous Intervention

BACKGROUND

Lower extremity peripheral artery disease (PAD) is the third most common clinical manifestation of atherosclerosis after coronary artery disease and stroke. Despite successful endovascular treatment (EVT), mortality and morbidity rates still remain higher in patients with PAD. Naples prognostic score (NPS) is a novel scoring system, reflects the patient's nutritional and immunological statuses as well as systemic inflammatory responses. In this study, we aimed to investigate the relationship between NPS and long-term outcomes in patients with PAD.

METHODS

The population of this retrospective study consisted of 629 PAD patients who underwent EVT at Kafkas University Hospital between 2020 and 2023. For each patient, the NPS was calculated and then patients were divided into 3 groups based on their NPS. The primary end point of the study was the rate of major adverse cardiovascular (MACEs) and limb events (MALEs), that is, all-cause death or development of critical limb ischemia with consequent amputation.

RESULTS

Of a total of 629 patients, 62 were classified into group 0 (NPS 0), 315 into group 1 (NPS 1 or 2), and 252 into group 2 (NPS 3 or 4). The distribution of patients' baseline characteristics, angiographic features and MACEs and MALEs according to the NPS groups was analyzed. Significant adverse outcomes differences were observed among the 3 groups (P < 0.001). Multivariate logistic regression analysis revealed that age, diabetes mellitus, chronic kidney disease, lowest preprocedure ankle-brachial index, left ventricular ejection fraction and NPS (hazard ratio 1.916, 95% confidence interval [CI] 1.530-2.398, P < 0.001) were independent predictors of MACE whereas diabetes mellitus, presence of previous PAD, hemoglobin level, in-hospital acute thrombotic occlusion and NPS (odds ratio 1.963, 95% CI 1.489-2.588, P < 0.001) were independent predictors of MALE.

CONCLUSIONS

The inflammatory and nutritional state reflected by NPS levels was strongly associated with all-cause mortality and amputation after EVT in patients with PAD. Furthermore, NPS was found to be an independent predictor of these clinical outcomes.

A systematic review of the neutrophil to lymphocyte and platelet to lymphocyte ratios in patients with lower extremity arterial disease

Lower extremity arterial disease (LEAD) is caused by atherosclerotic plaque in the arterial supply to the lower limbs. The neutrophil to lymphocyte and platelet to lymphocyte ratios (NLR, PLR) are established markers of systemic inflammation which are related to inferior outcomes in multiple clinical conditions, though remain poorly described in patients with LEAD. This review was carried out in accordance with PRISMA guidelines. The MEDLINE database was interrogated for relevant studies. Primary outcome was the prognostic effect of NLR and PLR on clinical outcomes following treatment, and secondary outcomes were the prognostic effect of NLR and PLR on disease severity and technical success following revascularisation. There were 34 studies included in the final review reporting outcomes on a total of 19870 patients. NLR was investigated in 21 studies, PLR was investigated in two studies, and both NLR & PLR were investigated in 11 studies. Relating to increased levels of systemic inflammation, 20 studies (100%) reported inferior clinical outcomes, 13 (92.9%) studies reported increased disease severity, and seven (87.5%) studies reported inferior technical results from revascularisation. The studies included in this review support the role of elevated NLR and PLR as key components influencing the clinical outcomes, severity, and success of treatment in patients with LEAD. The use of these easily accessible, cost effective and routinely available markers is supported by the present review.

Predictive value of PAR and PNI for the acute complicated course of pediatric acute hematogenous osteomyelitis

OBJECTIVE

Platelet to albumin ratio (PAR) and prognostic nutritional index (PNI) are potential indicators for evaluating nutritional and inflammatory status. This study aimed to examine the relationship between PAR and PNI and the acute complicated course of acute hematogenous osteomyelitis (AHO).

METHODS

AHO patients were divided into the simple course group and the acute complicated course group. The patient's gender, age, site of infection, body temperature, laboratory results, and pathogen culture results were collected and compared. Multivariate logistic regression analysis was used to determine the independent risk factors of the acute complicated course group. The receiver operating characteristic curve was applied to determine the optimal cut-off value.

RESULTS

In total, 101 AHO patients with a median age of 7.58 years were included. There were 63 cases (62.4 %) in the simple course group and 38 cases (37.6 %) in the complicated course group. Binary logistic regression analysis revealed that PAR and PNI were independent risk factors for predicting the acute complicated course of AHO (p = 0.004 and p < 0.001, respectively). Receiver operating characteristic curve analysis demonstrated that the combination of PAR and PNI had an area under the curve of 0.777 (95 % CI: 0.680-0.873, p < 0.001) with a cut-off value of 0.51.

CONCLUSIONS

The incidence of acute complicated courses was significantly higher in patients with high PAR and low PNI. A combined factor greater than 0.51, derived from PAR and PNI measurements within 24 h of admission, may be useful for predicting AHO patients who are likely to develop severe disease.

Examining the causal relationship between circulating immune cells and the susceptibility to osteomyelitis: A Mendelian randomization study

BACKGROUND

Osteomyelitis is considered as a deleterious inflammatory condition affecting the bone, primarily attributed to pathogenic infection. However, the underlying factors predisposing individuals to osteomyelitis remain incompletely elucidated. The immune system plays a multifaceted role in the progression of this condition, yet previous observational studies and randomized controlled trials investigating the association between circulating immune cell counts and osteomyelitis have been constrained. In order to address this knowledge gap, we conducted a Mendelian randomization (MR) analysis to evaluate the impact of diverse immune cell counts on the risk of developing osteomyelitis.

METHODS

In our study, we utilized single nucleotide polymorphisms (SNPs) that have been strongly linked to circulating immune cells or specific lymphocyte subtypes, as identified in large-scale genome-wide association studies (GWAS). These SNPs served as instrumental variables (IVs) for our MR analysis. We employed a more relaxed clumping threshold to conduct MR analysis on several related lymphocyte subtypes. To estimate causal effects, we utilized the Wald ratio, as well as the random-effects inverse variance weighted (IVW) and weighted median (WM) methods. To enhance the credibility of our results, we performed F-statistic calculations and a series of sensitivity analyses.

RESULTS

Our findings revealed a significant correlation between the absolute count of circulating lymphocytes and the risk of osteomyelitis [odds ratio(OR) 1.20；95 % confidence interval (CI), 1.08-1.32；P = 0.0005]. Furthermore, we identified a causal relationship between the absolute count of CD8+ T cells and susceptibility to osteomyelitis (OR 1.16; 95 % CI, 1.04-1.30; P = 0.0098). Importantly, these findings remained robust across a wide range of sensitivity analyses.

CONCLUSION

Through our MR analysis, we have provided evidence supporting a causal relationship between genetic predisposition to higher circulating immune cell counts and an increased risk of osteomyelitis. Specifically, our findings highlight the association between elevated CD8+ T cell counts and a heightened susceptibility to osteomyelitis. These results offer valuable insights for the future exploration of immunotherapy approaches in the management of osteomyelitis.

Update of biomarkers to diagnose diabetic foot osteomyelitis: A meta-analysis and systematic review

The aim of this study was to evaluate the diagnostic characteristics of biomarker for diabetic foot osteomyelitis (DFO). We searched PubMed, Scopus, Embase and Medline for studies who report serological markers and DFO before December 2022. Studies must include at least one of the following diagnostic parameters for biomarkers: area under the curve, sensitivities, specificities, positive predictive value, negative predictive value. Two authors evaluated quality using the Quality Assessment of Diagnostic Accuracy Studies tool. We included 19 papers. In this systematic review, there were 2854 subjects with 2134 (74.8%) of those patients being included in the meta-analysis. The most common biomarkers were erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and procalcitonin (PCT). A meta-analysis was then performed where data were evaluated with Forrest plots and receiver operating characteristic curves. The pooled sensitivity and specificity were 0.72 and 0.75 for PCT, 0.72 and 0.76 for CRP and 0.70 and 0.77 for ESR. Pooled area under the curves for ESR, CRP and PCT were 0.83, 0.77 and 0.71, respectfully. Average diagnostic odds ratios were 16.1 (range 3.6-55.4), 14.3 (range 2.7-48.7) and 6.7 (range 3.6-10.4) for ESR, CRP and PCT, respectfully. None of the biomarkers we evaluated could be rated as 'outstanding' to diagnose osteomyelitis. Based on the areas under the curve, ESR is an 'excellent' biomarker to detect osteomyelitis, and CRP and PCT are 'acceptable' biomarkers to diagnose osteomyelitis. Diagnostic odds ratios indicate that ESR, CRP and PCT are 'good' or 'very good' tools to identify osteomyelitis.

The impact of inflammatory biomarkers on amputation rates in patients with diabetic foot ulcers

Diabetic Foot Ulcers (DFUs) are a major complication of diabetes, often leading to amputation. Understanding the relationship between haematological inflammatory markers and the incidence of amputation in DFU patients with infectious complications is crucial for improving management and outcomes. This retrospective study, conducted from May 2020 to October 2022, involved 109 patients with DFUs, categorised into amputation (AM) and non-amputation (NAM) groups. Patients were evaluated for various factors, including demographic data, DFU duration, and blood parameters such as haemoglobin A1c (HbA1c), haemoglobin (Hb), albumin (ALB), white blood cell count (WBC), erythrocyte sedimentation rate (ESR), procalcitonin (PCT), C-reactive protein (CRP), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR). Statistical analyses were performed using independent sample t-tests, Mann-Whitney U test and logistic regression. The univariate analysis showed no significant difference in BMI, DM duration or DFU duration between groups. However, significant differences were noted in PCT, Hb, ESR, ALB, HbA1c and WBC levels, and in inflammatory ratios (NLR, PLR and LMR). Multivariate logistic regression identified CRP, NLR and PLR as independent risk factors for amputation. The study highlights CRP, PLR and NLR as key independent risk factors for amputation in patients with DFUs. These easily obtainable markers from routine blood tests can effectively aid in predicting the risk of osteomyelitis and amputation, enhancing clinical decision making and patient care strategies.

Relationship between Prognostic Nutritional Index and Amputation in Patients with Diabetic Foot Ulcer

The prognostic nutritional index (PNI) is a new marker used to assess a patient's nutritional and immune status. It is calculated using serum albumin levels and total lymphocyte count. The aim of this study was to investigate the relationship between PNI and amputation in patients with diabetic foot ulcer (DFU). Patients with DFU were enrolled in this retrospective study. In our study, a total of 386 patient data, of 110 (28.5%) amputated and 276 (71.5%) non-amputated patients, were statistically analyzed. PNI values were significantly lower in the amputated patient group than in the non-amputee patient group (p < 0.001). According to the ROC analysis results, PNI was significant in the prediction of amputation at an excellent level (AUC = 0.937 (0.911-0.963), p < 0.001). The optimal cut-off point for PNI was found to be 39,005. There was classification success for this cut-off point: sensitivity was calculated as 82.7% (74.1-89) and specificity as 93.1% (89.3-95.7). In the multivariate model, the odds ratio (OR) (95% CI) was calculated as 81.8 (38.5-173.7) for PNI. The PNI was associated with an increase in amputation rate in patients with DFU. By using PNI, patients can be directed to advanced centers and have access to early and appropriate interventions.

Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers

BACKGROUND

This study aimed to develop and validate an interpretable machine-learning model that utilizes clinical features and inflammatory biomarkers to predict the risk of in-hospital mortality in critically ill patients suffering from sepsis.

METHODS

We enrolled all patients diagnosed with sepsis in the Medical Information Mart for Intensive Care IV (MIMIC-IV, v.2.0), eICU Collaborative Research Care (eICU-CRD 2.0), and the Amsterdam University Medical Centers databases (AmsterdamUMCdb 1.0.2). LASSO regression was employed for feature selection. Seven machine-learning methods were applied to develop prognostic models. The optimal model was chosen based on its accuracy, F1 score and area under curve (AUC) in the validation cohort. Moreover, we utilized the SHapley Additive exPlanations (SHAP) method to elucidate the effects of the features attributed to the model and analyze how individual features affect the model's output. Finally, Spearman correlation analysis examined the associations among continuous predictor variables. Restricted cubic splines (RCS) explored potential non-linear relationships between continuous risk factors and in-hospital mortality.

RESULTS

3535 patients with sepsis were eligible for participation in this study. The median age of the participants was 66 years (IQR, 55-77 years), and 56% were male. After selection, 12 of the 45 clinical parameters collected on the first day after ICU admission remained associated with prognosis and were used to develop machine-learning models. Among seven constructed models, the eXtreme Gradient Boosting (XGBoost) model achieved the best performance, with an AUC of 0.94 and an F1 score of 0.937 in the validation cohort. Feature importance analysis revealed that Age, AST, invasive ventilation treatment, and serum urea nitrogen (BUN) were the top four features of the XGBoost model with the most significant impact. Inflammatory biomarkers may have prognostic value. Furthermore, SHAP force analysis illustrated how the constructed model visualized the prediction of the model.

CONCLUSIONS

This study demonstrated the potential of machine-learning approaches for early prediction of outcomes in patients with sepsis. The SHAP method could improve the interoperability of machine-learning models and help clinicians better understand the reasoning behind the outcome.

The infected diabetic foot: Modulation of traditional biomarkers for osteomyelitis diagnosis in the setting of diabetic foot infection and renal impairment

The objective of this paper was to investigate erythrocyte sedimentation rate (ESR) and c-reactive protein (CRP) in diagnosing pedal osteomyelitis (OM) in patients with and without diabetes, and with and without severe renal impairment (SRI). This was a retrospective cohort study of patients with moderate and severe foot infections. We evaluated three groups: Subjects without diabetes (NDM), subjects with diabetes and without severe renal insufficiency (DM-NSRI), and patients with diabetes and SRI (DM-SRI). SRI was defined as eGFR <30. We evaluated area under the curve (AUC), cutoff point, sensitivity and specificity to characterize the accuracy of ESR and CRP to diagnose OM. A total of 408 patients were included in the analysis. ROC analysis in the NDM group revealed the AUC for ESR was 0.62, with a cutoff value of 46 mm/h (sensitivity, 49.0%; specificity, 76.0%). DM-NSRI subjects showed the AUC for ESR was 0.70 with the cutoff value of 61 mm/h (sensitivity, 68.9%; specificity 61.8%). In DM-SRI, the AUC for ESR was 0.67, with a cutoff value of 119 mm/h (sensitivity, 46.4%; specificity, 82.40%). In the NDM group, the AUC for CRP was 0.55, with a cutoff value of 6.4 mg/dL (sensitivity, 31.3%; specificity, 84.0%). For DM-NSRI, the AUC for CRP was 0.70, with a cutoff value of 8 mg/dL (sensitivity, 49.2%; specificity, 80.6%). In DM-SRI, the AUC for CRP was 0.62, with a cutoff value of 7 mg/dL (sensitivity, 57.1%; specificity, 67.7%). While CRP demonstrated relatively consistent utility, ESR's diagnostic cutoff points diverged significantly. These results highlight the necessity of considering patient-specific factors when interpreting ESR results in the context of OM diagnosis.

Factors associated with the time required for CRP normalization in pyogenic spondylitis: A retrospective observational study

Background

Treatment for pyogenic spondylitis tends to be prolonged; however, few studies have examined the factors associated with the time required for infection control. Therefore, we analyzed a consecutive cohort of patients to identify factors associated with the time required to control infection in pyogenic spondylitis. This study aimed to clarify the factors linked to the duration necessary for achieving infection control in cases of pyogenic spondylitis, using C-reactive protein (CRP) normalization as an indicator.

Methods

In this retrospective observational study, we investigated 108 patients diagnosed with pyogenic spondylitis. We evaluated the number of days from the first visit to CRP normalization; for cases wherein CRP did not normalize, the number of days to the date of final blood sampling was evaluated. In the present study, infection control in pyogenic spondylitis was defined as a CRP falling within the normal range (≤0.14 mg/dL). We performed univariate and multivariate Cox regression analyses to identify various factors associated with the time required for CRP normalization in pyogenic spondylitis.

Results

The mean time required for CRP normalization was 148 days. Univariate Cox regression analysis showed that the serum creatinine level, estimated glomerular filtration rate (eGFR), lymphocyte percentage, neutrophil percentage, CRP level, CRP-albumin ratio, and neutrophil-to-lymphocyte ratio were significantly associated with the time required to control infection. Multivariate Cox regression analysis showed that a higher neutrophil percentage, diabetes mellitus, and a lower eGFR were the independent factors associated with a longer infection control time.

Conclusions

We found that a higher neutrophil percentage, diabetes mellitus, and a lower eGFR were significantly associated with a longer time for CRP normalization in pyogenic spondylitis. These findings may help identify patients with pyogenic spondylitis who are at a high risk for an extended infection control period.

Risk factor analysis for diabetic foot ulcer-related amputation including Controlling Nutritional Status score and neutrophil-to-lymphocyte ratio

Diabetic foot ulcer often leads to amputation, and both nutritional status and immune function have been associated with this process. We aimed to investigate the risk factors of diabetic ulcer-related amputation including the Controlling Nutritional Status score and neutrophil-to-lymphocyte ratio biomarker. We evaluated data from hospital in patients with diabetic foot ulcer, performing univariate and multivariate analyses to screen for high-risk factors and Kaplan-Meier analysis to correlate high-risk factors with amputation-free survival. Overall, 389 patients underwent 247 amputations over the follow-up period. After correction to relevant variables, we identified five independent risk factors for diabetic ulcer-related amputation: ulcer severity, ulcer site, peripheral arterial disease, neutrophil-to-lymphocyte ratio and nutritional status. Amputation-free survival was lower for the moderate-to-severe versus mild cases, for the plantar forefoot versus hindfoot location, for the concomitant peripheral artery disease versus without and in the high versus low neutrophil-to-lymphocyte ratio (all p < 0.01). The results showed that ulcer severity (p < 0.01), ulcer site (p < 0.01), peripheral artery disease (p < 0.01), neutrophil-to-lymphocyte ratio (p < 0.01) and Controlling Nutritional Status score (p < 0.05) were independent risk factors for amputation in diabetic foot ulcer patients and have predictive values for diabetic foot ulcer progression to amputation.

Relationship between neutrophil to lymphocyte ratio and diabetic peripheral neuropathy: a systematic review and meta-analysis

BACKGROUND

The present study aims to review the existing scientific literature on the role of neutrophil to lymphocyte ratio (NLR) in diabetic peripheral neuropathy (DPN) to perform a meta-analysis on the available data.

METHODS

The electronic repositories Web of Science, PubMed, and Scopus were systematically explored starting from their establishment up until June 9, 2022.

RESULTS

Fifteen articles were included in the meta-analysis after multiple screening according to the PRISMA guidelines. The combined findings indicated that individuals with DPN had higher levels of NLR in comparison to those without DPN (SMD = 0.61; CI 95% = 0.40-0.81, p < 0.001). In the subgroup assessment based on ethnicity, it was observed that diabetic patients with DPN exhibited increased NLR levels in contrast to those without DPN in studies conducted in India (SMD = 1.30; CI 95% = 0.37-2.24, p = 0.006) and East Asia (SMD = 0.53; CI 95% = 0.34-0.73, p < 0.001) but not in studies conducted in Turkey (SMD = 0.30; CI 95% = - 0.06-0.67, p = 0.104) and Egypt (SMD = 0.34; CI 95% = -0.14-0.82, p = 0.165). The pooled sensitivity of NLR was 0.67 (95% CI = 0.49-0.81), and the pooled specificity was 0.70 (95% CI, 0.56-0.81). The pooled positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio (DOR) of NLR were 2.30 (95% CI = 1.71-3.09), 0.45 (95%CI = 0.30-0.67), and 5.06 (95% CI = 3.16-8.12), respectively.

CONCLUSION

NLR serves as a distinct marker of inflammation, and its rise in cases of DPN suggests an immune system imbalance playing a role in the development of the disease.

Clinical value of neutrophil-to-lymphocyte ratio and prognostic nutritional index on prediction of occurrence and development of diabetic foot-induced sepsis

Background

Diabetic foot-induced sepsis is a serious complication associated with increased disability and mortality in hospitalized patients. Early prediction of admission and detection effectively improve treatment options and prevent further deterioration. This study aims to evaluate the clinical value of the neutrophil-to-lymphocyte ratio (NLR) and prognostic nutritional index (PNI) to predict the risk of sepsis in patients with diabetic foot ulcers (DFU).

Methods

Retrospective analysis was performed on 216 patients who were admitted to the Fujian Medical University Union Hospital between January 2015 and December 2022. Patients with DFU were divided into the non-sepsis (n = 166) and the DFU-induced sepsis (n = 50) groups. The independent factors of DFU-induced sepsis were determined by univariate and multivariate logistic regression analyses. A receiver operating characteristic (ROC) curve was performed to compare the area under the curves (AUC) of PNI and NLR.

Results

Multivariate logistic regression analysis revealed that the PNI, NLR, international normalized ratio (INR), thrombin time (PT), and C-reactive protein (CRP) were independent prognostic factors for DFU-induced sepsis. After adjusting for potential confounders, the adjusted odds ratios of NLR for DFU-induced sepsis were 1.121 (1.072-1.172), 1.132 (1.077-1.189), and 1.080 (1.022-1.142), while those of PNI were 0.912 (0.873-0.953), 0.902 (0.856-0.950), and 1.004 (1.001-1.006). Moreover, the AUC of NLR was significantly greater than that of CRP (0.790, 95% CI: 0.689-0.891, p < 0.001 vs. 0.780, 95% CI: 0.686-0.873, p < 0.001).

Conclusion

NLR and PNI have been regarded as readily and independently predictive markers in patients with DFU-induced sepsis. NLR is critical for the early detection and effective treatment of DFU-induced sepsis and is superior to CRP.

The ratio of neutrophil-to-lymphocyte and platelet-to-lymphocyte and association with mortality in community-acquired pneumonia: a derivation-validation cohort study

RATIONALE

The ratio of neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR) and platelet-to-lymphocyte (PLR) are biomarkers that have shown potential for predicting mortality in several diseases. For patients hospitalized with community-acquired pneumonia (CAP), the prognostic capabilities of these biomarkers are unknown.

OBJECTIVE

Investigate whether NLR, MLR or PLR were associated with 90-day mortality in CAP. Further, investigate whether the prediction rule CURB-65 could be improved by adding these biomarkers.

METHODS

A derivation-validation study using a Danish multicentre retrospective cohort as the derivation cohort (N = 831) and a European multicentre prospective cohort as the validation cohort (N = 2463). Associations between biomarkers and mortality were assessed using Cox proportional hazard models with adjustments for sex, CURB-65 and comorbidities. A cut-off value for biomarkers was determined using Youden's J Statistics. The performance of CURB-65 with added biomarkers was evaluated using receiver-operating characteristics.

RESULTS

In both cohorts increasing NLR and PLR were associated with 90-day mortality. In the derivation cohort, the hazard ratios for NLR and PLR were 1.016 (95% confidence interval (CI) 1.001-1.032, P = 0.038) and 1.001 (95% CI 1.000-1.001, P = 0.035), respectively. Adding these biomarkers to CURB-65 did not improve its performance.

CONCLUSIONS

NLR and PLR were associated with 90-day mortality in CAP, but did not improve CURB-65.

Basic haematological tests as inflammatory performance markers of patients treated either by conservative surgery or minor amputation for infected diabetic foot ulcers

Basic inflammatory markers have been extensively studied to differentiate between non-infected and infected diabetic foot ulcers (DFUs). Very rarely, basic haematological tests such as white cell count (WCC) and platelet counts were used as performance markers for DFU infection severity. The aim is to investigate these biomarkers in patients with DFU treated exclusively with surgery. In this retrospective comparative study, we included 154 procedures comparing a conservative surgery group (n = 66 for infected DFU) and a minor amputation group (n = 88 for infected DFU with osteomyelitis). Outcomes were set as the preoperative values of: WCC, neutrophils (N), lymphocytes (L), Monocytes (M), Platelets (P), red cell distribution width (RDW) and the ratios N/L, L/M and P/L. Area under curve (AUC) of the receiver operating characteristic (ROC) was calculated based on the diagnosis of minor amputation as a positive result. Cutoff point values with the highest sensitivity and specificity were obtained for each outcome. The highest AUC values were for WCC (0.68), neutrophils (0.68), platelets (0.7) and P/L ratio (0.69) with corresponding cut-off values of 10,650/mm3 , 76%, 234,000/mcL and 265, respectively. The highest sensitivity was for the platelet count (81.5%) while the highest specificity was for L/M (89%) and P/L ratios (87%). Postoperative values showed similar results. Simple routine blood tests could serve as inflammatory performance markers to help predict the severity of infection in patients treated surgically for infected DFU.

Serum Inflammatory Markers and Amputations in Hand Osteomyelitis: A Retrospective Review of 146 Cases

BACKGROUND

The diagnosis of hand osteomyelitis requires correlation of clinical, radiological, and microbiological findings. The role of serum inflammatory markers in diagnosing and prognosticating hand osteomyelitis remains uncertain. We sought to determine the utility of inflammatory markers in the diagnosis and follow-up of hand osteomyelitis, and their ability to predict outcomes, particularly amputation.

METHODS

We retrospectively reviewed 146 patients diagnosed with hand osteomyelitis and with serum inflammatory marker levels measured after the onset of symptoms and within 14 days either side of diagnosis. Blood results at first presentation including white cell count (WCC), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and C-reactive protein (CRP) were reviewed, and associations with amputations assessed. Follow-up markers taken at 15 to 60 days from diagnosis were analyzed where available.

RESULTS

Mean WCC and CRP at diagnosis were 9.2 (SD: 4.6) and 30.2 (SD: 42.4) respectively, compared with 8.2 (SD: 3.9) and 30.2 (SD: 42.4) at follow-up. At diagnosis, sensitivity of CRP was 74%, and WCC was 31%. Each marker had a low positive predictive value for amputation at diagnosis (<29%). A rise in CRP between diagnosis and follow-up was associated with an increased risk of amputation compared with a fall in CRP. The finding that WCC and CRP were both normal at diagnosis had a high negative predictive value against amputation (96%).

CONCLUSION

C-reactive protein has a higher sensitivity than WCC, NLR, and PLR when used as a diagnostic adjunct in hand osteomyelitis. White cell count and CRP both within reference ranges at diagnosis was highly negatively predictive against amputation.

Application of combined photobiomodulation and curcumin-loaded iron oxide nanoparticles considerably enhanced repair in an infected, delayed-repair wound model in diabetic rats compared to either treatment alone

Herein, we attempted to evaluate the therapeutic potential of photobiomodulation (PBM) and curcumin-loaded iron nanoparticles (CUR), alone and in combination, on wound closure rate (WCR), microbial flora by measuring colony-forming units (CFUs), the stereological and biomechanical properties of repairing wounds in the maturation stage of the wound healing course in an ischemic infected delayed healing wound model (IIDHWM) of type I diabetic (TIDM) rats. There were four groups: group 1 was the control, group 2 received CUR, rats in group 3 were exposed to PBM (80 Hz, 890 nm, and 0.2 J/cm2), and rats in group 4 received both PBM and CUR (PBM + CUR). We found CFU was decreased in groups 2, 3, and 4 compared to group 1 (p = 0.000 for all). Groups 2, 3, and 4 showed a considerable escalation in WCR compared to group 1 (p = 0.000 for all). In terms of wound strength parameters, substantial increases in bending stiffness and high-stress load were observed in groups 2, 3, and 4 compared to group 1 (p = 0.000 for all). Stereological examinations revealed decreases in neutrophil and macrophage counts and increases in fibroblast counts in groups 2, 3, and 4compared  to group 1 (p = 0.000 for all). Blood vessel counts were more dominant in the PBM and PBM + CUR groups over group 1 (p = 0.000 for all). CFU and wound strength as well as macrophage, neutrophil, and fibroblast counts were found to be improved in the PBM + CUR and PBM groups compared to the CUR group (ranging from p = 0.000 to p < 0.05). Better results were achieved in the PBM + CUR  treatment  over the PBM therapy. We determined therapy with PBM + CUR, PBM alone, and CUR alone substantially accelerated diabetic wound healing in an IIDHWM of TIDM rats compared to control  group. Concomitantly, the PBM + CUR and PBM groups attained significantly enhanced results for WCR, stereological parameters, and wound strength than the CUR group, with the PBM + CUR results being superior to those of the PBM group.

Relationship between systemic immune inflammation index and amputation in patients with diabetic foot ulcer

AIM

The systemic immune inflammation index (SII) is a cost-effective biomarker calculated by lymphocyte, neutrophil and platelet counts and is currently being studied in various diseases. Since there is no study examining the relationship between SII and diabetic foot ulcers (DFU) in the literature, our aim was to investigate the relationship between SII and amputation rate in DFU.

METHODS

Type 2 DM 511 patients with DFU were screened from 2017 to 2021. Laboratory data obtained on the first day of hospitalization were considered. Platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and SII were calculated from routine blood count. Participants were divided into two groups as amputation (Group 1) and non-amputation (Group 2).

RESULTS

Amputation rate was 18.8%. The A1c (8.80 (3.26) % vs. 9.52 (3.10) %, p = 0.007) and HGB (10.17 ± 2.16 g/dL vs. 12.05 ± 2.20 g/dL, p < 0.001) levels, and lymphocyte count (1.81 (1.16) vs. 2.05 (1.11), p = 0.015) were significantly lower in Group 1 than Group 2. The counts of WBC (14.01 (9.16) × 109/L vs. 10.41 (5.82) × 109/L), PLT (393.35 (196.98) × 109/L vs. 312.05 (141.33) × 109/L), neutrophil (11.52 (8.75) × 109/L vs. 6.93 (5.96) × 109/L), PLR (226.04 (159.24) × 109/L vs. 153.12 (101.91) × 109/L), NLR (6.64 (6.93) vs. 3.34 (3.99)) and SII (2505.86 (3957.47) × 109/L vs. 1092.50 (1476.08) × 109/L), and the levels of CRP (14.12 (12.66) mg/dL vs. 3.86 (12.63) mg/dL) and ESR (87.50 (50.50) mm/h vs. 63.00 (57.25) mm/h) were significantly higher in Group 1 than Group 2 (all p < 0.001). AUC of ROC analysis of PLR was 0.666 (95% CI, 0.604-0.728), NLR was 0.695 (95% CI, 0.638-0.752) and SII was 0.716 (95% CI, 0.661-0.772) for the predicting of amputation and the SII had the best AUC with 67.4% sensitivity and 63.3%specificty.

CONCLUSION

SII is a cost-effective and readily available marker, but alone may not be sufficient to predict the risk of amputation in DFU. In our results, the predictive role of SII alone or with other markers for future DFU and its role in predicting other chronic diabetic complications will be evaluated in extensive studies.

Diagnosis of COVID-19 from blood parameters using convolutional neural network

Asymptomatically presenting COVID-19 complicates the detection of infected individuals. Additionally, the virus changes too many genomic variants, which increases the virus's ability to spread. Because there isn't a specific treatment for COVID-19 in a short time, the essential goal is to reduce the virulence of the disease. Blood parameters, which contain essential clinical information about infectious diseases and are easy to access, have an important place in COVID-19 detection. The convolutional neural network (CNN) architecture, which is popular in image processing, produces highly successful results for COVID-19 detection models. When the literature is examined, it is seen that COVID-19 studies with CNN are generally done using lung images. In this study, one-dimensional (1D) blood parameters data were converted into two-dimensional (2D) image data after preprocessing, and COVID-19 detection was made with CNN. The t-distributed stochastic neighbor embedding method was applied to transfer the feature vectors to the 2D plane. All data were framed with convex hull and minimum bounding rectangle algorithms to obtain image data. The image data obtained by pixel mapping was presented to the developed 3-line CNN architecture. This study proposes an effective and successful model by providing a combination of low-cost and rapidly-accessible blood parameters and CNN architecture making image data processing highly successful for COVID-19 detection. Ultimately, COVID-19 detection was made with a success rate of 94.85%. This study has brought a new perspective to COVID-19 detection studies by obtaining 2D image data from 1D COVID-19 blood parameters and using CNN.

The Effects of 6-Month Aqua Aerobics Training on Cardiometabolic Parameters in Perimenopausal Women-A Randomized Controlled Trial

BACKGROUND

Menopause is a time when women experience a number of physiological and anatomical changes resulting from a decline in ovarian function. It can be concluded that cardiovascular disease increases in perimenopausal and postmenopausal women, irrespective of age-related changes. Engaging in the amount of moderate physical activity recommended by the World Health Organization helps reduce the risk of death and adverse health events. The aim of the present study was to assess the effect of a 6-month aqua aerobics programme on cardiometabolic (anthropometric and biochemical) parameters in perimenopausal women.

METHODS

In this study, 30 women (control group-16, study group-14) participated in the 6-month aqua aerobics training programme. The mean age of women was 47.67 ± 6.79 year and BMI 26.33 ± 3.64 kg/m2. At the beginning and at the end of the study, anthropometric and blood samples analysis were performed. In the blood, lipid profile, morphotic elements were determined. Body composition, waist-hip ratio (WHR), visceral adiposity index (VAI), blood pressure (BP) were measured.

RESULTS

The aqua aerobics programme resulted in a significant decrease in the WHR (p < 0.05; ES: 2.143), diastolic blood pressure (DBP) (p < 0.05; ES: 1.005), and platelet-to-lymphocyte ratio (PRL) (p < 0.05; ES: 0.460) and an increase in haemoglobin (HGB) concentration (p < 0.05; ES: 0.643).

CONCLUSIONS

The type of physical activity described in the present study is a great way for perimenopausal women to take care of their overall well-being. The reduction in selected cardiometabolic parameters is important from the point of view of the protection of women's health.

Link between Blood Cell-Associated Inflammatory Indices and Chemotherapy-Induced Hyperglycemia in Women Affected with Breast Cancer: Clinical Studies

Krishna PrasadBackground  Development of treatment-induced hyperglycemia/diabetes is a considerable problem in women undergoing chemotherapy for breast cancer. In this study, baseline levels of blood cell-associated inflammatory indices (BCAII) were analyzed to understand their role in the development of treatment-induced hyperglycemia and diabetogenesis. Materials and Methods  This was a retrospective study, and information on women who were normoglycemic and nondiabetic and of women who were diabetic at the beginning of the treatment were collected from files. Demographic, pathology-related details, and complete blood profile were noted. Neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), platelet-to-lymphocyte ratio (PLR), and systemic inflammatory index (SII) which indicate BCAII were calculated. Demographic details were subjected to frequency and percentage, while blood parameters were subjected to one-way analysis of variance followed by post hoc Bonferroni's multiple comparison tests. A p -value of <0.05 was considered significant. Results  The results indicated that a significant difference in levels of total count ( p  < 0.035), neutrophil, lymphocyte, and platelets ( p  < 0.001) were observed. Regarding BCAII, when compared with women who were normoglycemic at the end of treatment, NLR, dNLR, PLR, and SII were significantly high for people who were known diabetics at the beginning of treatment ( p  < 0.001). The dNLR ( p  = 0.0008), PLR ( p  < 0.001), and SII ( p  < 0.001) were significant for people who developed secondary hyperglycemia/diabetes, while only dNLR was significant for people who progressed from normal to prediabetes stage ( p  = 0.049) Conclusion  To the best of the authors' knowledge, this is the first study that indicates difference in baseline BCAII and development of treatment-induced hyperglycemia/diabetes indicating that underlying low levels of inflammation may contribute to diabetogenesis in women affected with breast cancer.

Positive association between urinary albumin-creatinine ratio and lower extremity peripheral arterial disease in Chinese diabetes patients: A cross-section study with propensity score matching analysis

BACKGROUND AND AIMS

Elevated urinary albumin-creatinine ratio (ACR) is an established risk factor for lower extremity peripheral arterial disease (PAD) in non-diabetes individual. This study aimed to determine the relationship between urinary ACR level and PAD in diabetes population.

METHODS AND RESULTS

A cross-section study with 1396 hospitalized diabetes participants from department of endocrinology and neurology were performed and the propensity score matching method was applied to reduce the effects of confounding factors between the matched PAD and Non-PAD groups. The relationship between urinary ACR and ankle-brachial index (ABI) was analyzed by linear curve fitting analyses and multiple logistic regression models. Our study showed that the prevalence of PAD (low ABI, ABI<0.9) was 7.09% in our diabetes patients. The ABI level was significantly lower in high ACR group compared with those in normal urinary ACR group (1.11 ± 0.17 vs 1.13 ± 0.15, p = 0.010). The prevalence of PAD was increased with the increased tertile's of log2-transformed ACR in total patients before and after propensity score matching (p < 0.001 and p = 0.007, respectively). The OR (95% CI) between log2-transformed ACR and PAD was 1.0 and 1.70 (1.08-2.69, p = 0.022) respectively in normal and high ACR levels in diabetes patients after adjusting for potential confounders. After propensity score matching, the OR (95% CI) between log2-transformed ACR and PAD was 1.0 and 1.85 (1.05-3.23, p = 0.031) respectively in normal and high ACR levels in diabetes patients after adjusting for potential confounders.

CONCLUSION

The elevated urinary ACR level was associated with PAD in Chinese diabetes patients.

The Association of the Neutrophil-Lymphocyte Ratio With the Outcome of Diabetic Foot Ulcer

Introduction One of the most common lower-extremity impediments in people suffering from diabetes mellitus (DM) is foot ulceration. Neutrophil-lymphocyte ratio (NLR) is a useful measure in predicting disease-specific morbidity and mortality. Objectives The objective is to study the association between diabetic foot ulcer healing and the NLR. Methodology A prospective analytical study was conducted among 100 patients with diabetic foot ulcers admitted to a surgical ward in a teaching hospital between April and November 2022. Basic demographic details, ulcer examination, and NLR were evaluated on the day of admission, and the status of ulcers was assessed after six weeks and the outcome was compared with the NLR value. Data analysis was done using SPSS version 20 software (SPSS, Inc., Chicago, IL). Results The average neutrophils, lymphocytes, and neutrophil-lymphocyte ratio were, respectively, 94.73%, 14.97%, and 6.65%. 58% had healing ulcers, and 42% had non-healing ulcers. 44% of study subjects had NLR <6, which is normal, and 56% had NLR >6, which is abnormal. Among 58 subjects with healing ulcers, 75.9% had NLR < 6, and among 42 subjects with non-healing ulcers, 100% had NLR >6, which was statistically significant. The mean NLR in the healing group was 5.15 and in the non-healing group was 8.205; this was statistically significant. This shows an increased NLR has a predisposition towards non-healing chronic ulcers with a poor prognosis. Conclusion NLR can be used as a reliable indicator for determining the healing status of diabetic foot ulcers.

Analyzing the effect of data preprocessing techniques using machine learning algorithms on the diagnosis of COVID-19

Real-time polymerase chain reaction (RT-PCR) known as the swab test is a diagnostic test that can diagnose COVID-19 disease through respiratory samples in the laboratory. Due to the rapid spread of the coronavirus around the world, the RT-PCR test has become insufficient to get fast results. For this reason, the need for diagnostic methods to fill this gap has arisen and machine learning studies have started in this area. On the other hand, studying medical data is a challenging area because the data it contains is inconsistent, incomplete, difficult to scale, and very large. Additionally, some poor clinical decisions, irrelevant parameters, and limited medical data adversely affect the accuracy of studies performed. Therefore, considering the availability of datasets containing COVID-19 blood parameters, which are less in number than other medical datasets today, it is aimed to improve these existing datasets. In this direction, to obtain more consistent results in COVID-19 machine learning studies, the effect of data preprocessing techniques on the classification of COVID-19 data was investigated in this study. In this study primarily, encoding categorical feature and feature scaling processes were applied to the dataset with 15 features that contain blood data of 279 patients, including gender and age information. Then, the missingness of the dataset was eliminated by using both K-nearest neighbor algorithm (KNN) and chain equations multiple value assignment (MICE) methods. Data balancing has been done with synthetic minority oversampling technique (SMOTE), which is a data balancing method. The effect of data preprocessing techniques on ensemble learning algorithms bagging, AdaBoost, random forest and on popular classifier algorithms KNN classifier, support vector machine, logistic regression, artificial neural network, and decision tree classifiers have been analyzed. The highest accuracies obtained with the bagging classifier were 83.42% and 83.74% with KNN and MICE imputations by applying SMOTE, respectively. On the other hand, the highest accuracy ratio reached with the same classifier without SMOTE was 83.91% for the KNN imputation. In conclusion, certain data preprocessing techniques are examined comparatively and the effect of these data preprocessing techniques on success is presented and the importance of the right combination of data preprocessing to achieve success has been demonstrated by experimental studies.

Associations of long-term cadmium exposure with peripheral white blood cell subtype counts and indices in residents of cadmium-polluted areas

BACKGROUND

Experimental evidence suggests that exposure to cadmium (Cd) could affect immune cells in vivo and in vitro. However, the associations of long-term Cd exposure with white blood cell (WBC) subtype counts and hemogram-derived indices have been rarely investigated. Therefore, we evaluated these relationships in residents of cadmium-polluted areas.

METHODS

This cross-sectional study included 431 participants aged 45-75 years without occupational exposure histories from Cd-contaminated areas of southern China. We detected WBC, neutrophil, lymphocyte, and monocyte counts using routine blood tests and calculated neutrophil-lymphocyte ratio (NLR), systemic inflammation response index (SIRI), and lymphocyte-monocyte ratio (LMR). Urinary Cd (U-Cd) was measured with inductively coupled plasma mass spectrometry and adjusted for creatinine. To evaluate the associations of U-Cd with peripheral WBC subtype counts and indices, we performed multivariate linear regression, logistic regression and subgroup analyses using U-Cd categorized into quartiles.

RESULTS

In models adjusted for all potential confounders, U-Cd was negatively associated with WBC, neutrophil, and monocyte counts in Q2, compared with Q1 of U-Cd (p < 0.05). A similar relationship was observed between U-Cd and NLR and SIRI, whereas the corresponding association for LMR was positive (p < 0.05). In subgroup analyses, U-Cd was negatively associated with neutrophil count, except for never smokers, after full adjustment.

CONCLUSIONS

U-Cd was negatively associated with WBC count, neutrophil count, monocyte count, NLR, and SIRI, and positively associated with LMR. Therefore, neutrophil count could be a potential indicator of long-term Cd exposure-associated immunosuppressive effect.

Long-duration head-down tilt bed rest confirms the relevance of the neutrophil to lymphocyte ratio and suggests coupling it with the platelet to lymphocyte ratio to monitor the immune health of astronauts

The identification of safe and easily-determined-inflight biomarkers to monitor the immune system of astronauts is mandatory to ensure their well-being and the success of the missions. In this report, we evaluated the relevance of two biomarkers whose determination could be easily implemented in a spacecraft in the near future by using bedridden volunteers as a ground-based model of the microgravity of spaceflight. Our data confirm the relevance of the neutrophil to lymphocyte ratio (NLR) and suggest platelet to lymphocyte ratio (PLR) monitoring to assess long-lasting immune diseases. We recommend coupling these ratios to other biomarkers, such as the quantification of cytokines and viral load measurements, to efficiently detect immune dysfunction, determine when countermeasures should be applied to promote immune recovery, prevent the development of disease, and track responses to treatment.

A New Inflammatory Marker of Clinical and Diagnostic Importance in Diabetic Foot Infection: Systemic Immune-Inflammation Index

Diabetes and associated complications still pose an important public health problem. Osteomyelitis as especially seen in patients with diabetes is associated with increased rates of morbidity and mortality. The present study aimed to investigate the clinical and diagnostic significance of inflammatory markers, including the systemic immune-inflammation index (SII) and erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and procalcitonin (PCT) to differentiate osteomyelitis and cellulitis. The present study included 96 patients with osteomyelitis (Group 1) and 151 patients with cellulitis (Group 2). Inflammatory markers were significantly elevated in Group 1 compared to Group 2 patients (p < 0.05). Furthermore, the correlation coefficients (rho) between SII and ESR, CRP, and PCT were 0.466 (p < 0.001), 0.627 (p < 0.001), and 0.501 (p < 0.001), respectively, as a result of Spearman's Rho analysis. Accordingly, a moderately positive relationship was found between the variables. The area under the curve (AUC) values for SII, ESR, CRP, and PCT in diabetic foot infection patients with osteomyelitis were 0.687, 0.722, 0.692, and 0.641, respectively. As a result of the Likelhood Ratio (LR) test, the cut-off values were 2.182 for SII (sensitivity: 39.8% and specificity: 79.8%), 76.5 mm/h for ESR (sensitivity: 59.1% and specificity: 73.1%), 109.5 mg/mL for CRP (sensitivity: 40.9% and specificity: 79.8%), and 0.44 ng/mL for PCT (sensitivity: 26.1% and specificity: 88.2%). In conclusion, given that the patients with osteomyelitis had much higher ESR, CRP, PCT, and SII levels combined with the fact that SII is a low-cost and easy-to-measure index, suggests that the same may serve as an effective and novel marker alternative to other inflammatory markers for predicting diabetic foot osteomyelitis.

Platelet-hemoglobin ratio predicts amputation in patients with below-knee peripheral arterial disease

BACKGROUND

Peripheral arterial disease (PAD) causes significant morbidity today. Atherosclerosis is evident in the pathophysiological process in most patients, so PAD has similar risk factors as coronary artery disease. Platelet-Hemoglobin ratio (PHR) has been proven to predict mortality in atherosclerotic heart disease. We aimed to determine the relationship between PHR and below-knee amputation.

METHODS

The study is a single-center retrospective study. Platelet count/hemoglobin amount formula was used for PHR. Only PAD patients with below-knee critical extremity ischemia and unsuitable for revascularization were included in the study.

RESULTS

235 patients were included in the study retrospectively. The mean age was 65.7 ± 9.9 years and 175(74.5%) of them were male. In the amputated group, white blood cell, neutrophil, platelet, creatinine, glucose, and PHR were higher (p = .031, p = .045, p = .011, p = .048 p = .018, p = .004, respectively). Only hemoglobin values were lower (p = .003). Multivariable regression analysis showed; age, albumin and PHR were determined as independent risk factors for amputation (Age; OR (95%CI): (1.094(1.040-1.152), p = .001) (Albumin; OR (95% CI): 1.950(1.623-1.799), p = .001) (PHR; OR (95% CI): 1.872(1.246-2.812), p = .003). Receiver operating characteristics analysis performed to determine the optimal cut-off value of PHR for amputation, the optimal value was found 2.08 (65.8% sensitivity, 67.5% specificity, p < .001).

CONCLUSIONS

PHR was a good predictor for BKA. Using the PHR, it may be possible to identify high-risk patients for amputation.

Diagnostic Value of the Blood Neutrophil-to-Lymphocyte Ratio and Monocyte-to-Lymphocyte Ratio in Tibia Fracture-Related Infection

Objective. The diagnostic value of neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) in predicting fracture-related infection (FRI) in tibia fracture patients remains to be explored. Methods. A retrospective controlled study was carried out with 170 tibia FRI patients and 162 control subjects. The following information was evaluated at admission: age, gender, clinical features, number of white blood cells (WBCs), neutrophils, lymphocytes, monocytes, red blood cells (RBCs), platelets, level of hemoglobin, C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR), as well as NLR, MLR, and PLR. Results. The number of lymphocytes, RBCs, and platelets in the FRI group was higher than those in the control group, while the number of neutrophils and ESR level was lower ( $P<0.05$ ). The level of NLR and MLR was significantly lower in patients with tibia FRI than in control subjects ( $P<0.05$ ). Both indicators were positively correlated with WBCs, CRP level, and ESR level ( $P<0.001$ ). The results of logistic regression analysis showed that five variables including NLR, MLR, platelets, fracture pattern (closed or open fracture), and site pattern (single or multiple site) were used to construct the FRI risk predictor. The ROC curve analysis result showed that FRI risk predictor yielded the highest AUC, with a sensitivity of 91.2% and a specificity of 90.1%, and made the distinction efficiently between tibia FRI patients and non-FRI patients. Conclusion. NLR and MLR were decreased in tibia FRI patients compared to non-FRI patients. Both indicators had a positive correlation with WBCs, CRP level, and ESR level. FRI risk predictor constructed based on five variables including NLR and MLR had a high diagnostic value for tibia FRI.

The Predictive Role of NLR and PLR in Outcome and Patency of Lower Limb Revascularization in Patients with Femoropopliteal Disease

Background: Peripheral arterial disease (PAD) changes the arterial structure and function, and is the most common manifestation of the atherosclerotic process, except for the coronary and cerebral arterial systems. Inflammation is well known to have a role in the progression of atherosclerosis and, by extension, in PAD. Among the recently studied markers in the literature, we list the neutrophil–lymphocyte ratio (NLR) and platelet–lymphocyte ratio (PLR). This study aims to analyze the preoperative role of NLR and PLR in the medium-term outcome of patients surgically revascularized for femoropopliteal disease. Methods: A retrospective study included patients admitted to the Vascular Surgery Clinic of the County Emergency Clinical Hospital of Târgu-Mureș, Romania, between January 2017 and December 2019, diagnosed with femoropopliteal disease and having presented an indication for surgical revascularization. The patients included in the study were classified according to the 12 months primary patency in two groups: “patency” and “nonpatency”. Results: Depending on the Rutherford classification (RC), there was a higher incidence of stages II and III in the patency group and a higher incidence of stage V in the nonpatency group. Depending on the optimal cut-off value according to ROC for the 12 months primary patency, obtained from Youden’s index (3.95 for NLR (82.6% sensitivity and 89.9% specificity), and 142.13 for PLR (79.1% sensitivity and 82.6% specificity)), in all high-NLR and high-PLR groups, there was a higher incidence of all adverse outcomes. Moreover, a multivariate analysis showed that a high baseline value for NLR and PLR was an independent predictor of all outcomes for all recruited patients. Furthermore, for all hospitalized patients, RC 5 was an independent predictor of poor prognosis. Conclusions: Our findings establish that a high value of preoperative NLR and PLR determined at hospital admission is strongly predictive of primary patency failure (12 months after revascularization). Additionally, elevated ratio values are an independent predictor for a higher amputation rate and death for all patients enrolled in the study, except for mortality in RC 2, and both amputation and mortality in RC 5.

Prognostic Significance of Modified Advanced Lung Cancer Inflammation Index in Patients With Renal Cell Carcinoma Undergoing Laparoscopic Nephrectomy: A Multi-Institutional, Propensity Score Matching Cohort Study

Background

We conducted a multi-institutional clinical study to assess the prognostic value of the advanced lung cancer inflammatory index (ALI) and modified ALI (mALI) in patients with renal cell carcinoma (RCC).

Methods

We collected 440 patients who underwent laparoscopic nephrectomy at three centers from 2014 to 2019. ALI was defined as body mass index (BMI) × serum albumin (ALB)/neutrophil-to-lymphocyte ratio (NLR) and mALI as L3 muscle index × ALB/NLR. Kaplan-Meier curves, receiver operating characteristic (ROC) curves and Cox survival analysis were used to assess the effect of ALI and mALI on overall survival (OS). In addition, we performed 1:1 propensity score matching (PSM) for the high mALI and low mALI groups to further explore the impact of mALI on survival in RCC patients.

Results

The optimal cut-off values for ALI and mALI were 40.6 and 83.0, respectively. Based on the cut-off values, we divided the patients into high ALI and low ALI groups, high mALI and low mALI groups. ALI and mALI were significantly associated with the AJCC stage, Fuhrman grade, T stage, and M stage. Low ALI (p = 0.002) or low mALI (p < 0.001) was associated with poorer prognosis. ROC curves showed that mALI was a better predictor of OS than ALI. Multivariate Cox regression analysis showed that low mALI (aHR = 2.22; 95% CI 1.19–4.13, p = 0.012) was an independent risk factor for OS in RCC patients who underwent nephrectomy, while ALI (aHR = 1.40; 95% CI 0.73–2.66, p = 0.309) was not significantly associated. Furthermore, after PSM analysis, we found that mALI remained an independent risk factor for OS (aHR = 2.88; 95% CI 1.33–6.26, p = 0.007) in patients with RCC.

Conclusions

For RCC patients undergoing laparoscopic nephrectomy, low ALI and low mALI were associated with poor prognosis, and preoperative mALI can be used as a potential independent prognostic indicator for RCC patients.

C-Reactive Protein-to-Albumin Ratio as a Prognostic Inflammatory Marker in COVID-19

Objectives  As a result of developed generalized inflammation, the main prognostic factor determining morbidity and mortality in coronavirus disease 2019 (COVID-19) patients is acute respiratory distress syndrome. The purpose of our study was to define (1) the laboratory tests that will contribute to the diagnosis and follow-up of COVID-19 patients, (2) the differences between the laboratory-confirmed (LC), unconfirmed (LUC), and control (C) groups, and (3) the variation between groups of acute-phase reactants and biomarkers that can be used as an indicator of disease severity and inflammation.

Materials and Methods  A total of 102 patients undergoing treatment with COVID-19 interim guidelines were evaluated. Reverse transcriptase-polymerase chain reaction (RT-PCR) test was positive in 56 (LC), classified as mild or severe, and negative in 46 (LUC) patients. In addition, 30 healthy subjects (C) with negative RT-PCR tests were also evaluated.

All statistical analyses were performed with the SPSS 22.0 program and the p -values for significant findings were less than 0.05. Parametric/nonparametric distribution was determined by performing the Kolmogorov–Smirnov test for all groups. Student's t -test was used for variables with parametric distribution and the Mann–Whitney U-test for variables with the nonparametric distribution. A cut-off level for biomarkers was determined using the ROC (receiver operator characteristic) curve.

Results  In the LC group, platelet, platecrit, mean platelet volume, platelet diameter width, white blood cell, lymphocyte, eosinophil, neutrophil, immature granulocyte, immature lymphocyte, immature monocyte, large immune cell, and atypical lymphocyte counts among the complete blood count parameters of mature and immature cell counts showed a significant difference according to the C and LUC groups. C-reactive protein, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and C-reactive protein-to-albumin ratio (CAR) indices were significantly elevated in LC patients and were significantly higher in patients classified as severe compared to mild. When CAR optimal cutoff was determined as 0.475, area under the curve was 0.934, sensitivity was 90.91%, specificity was 86.21%, positive predictive value was 92.59%, and negative predictive value was 83.33%. The diagnostic accuracy for CAR was 89.29%.

Conclusion  The CAR index with the highest diagnostic value and the highest predictability could be the most useful biomarker in the diagnosis and evaluation of disease severity in COVID-19 patients.

Possible indicators of amputation and insufficient perfusion after heat press injury: A retrospective study

INTRODUCTION

Amputation outcome after heat press injury is associated with insufficient perfusion. We aimed to determine other risk factors for heat press injury and mechanisms of insufficient perfusion associated with amputation.

METHODS

We retrospectively classified 120 inpatients into the emergency and clinic groups, with arrival time before and after 48 h of injury, respectively. We performed propensity score-match to identify significant variables and combine them with those previously identified. Patients with or without amputation were categorized in different subgroups according to arrival time and perfusion with receiver-operator-characteristic (ROC) curves.

RESULTS

In the emergently insufficient perfusion subgroup, red blood cell distribution width of standard deviation (RDW-SD) was statistically different between patients without and with amputation (cutoff = 43 fL; specificity = 0.909). In the urgent group, neutrophil-lymphocyte-ratio (NLR) and relative lymphocyte count (L%) showed no association with perfusion, but was associated with amputation (NLR cutoff value = 3.12; sensitivity = 0.846). Differential leukocytes and related ratios (both groups), D-dimer (emergency group), and creatine kinase (CK) (clinic group) were also associated with insufficient perfusion.

CONCLUSION

The study showed some correlations. Inflammation variables, D-dimer, and CK were associated with amputation and perfusion after heat press injury. Several factors were associated with amputation, including RDW-SD increase in insufficiently perfused patients within 48 h of injury, and NLR increase and L% decrease in patients after 48 h post-injury.

Serum Calcium Level Combined with Platelet Count May Be Useful Indicators for Assisted Diagnosis of Extremity Posttraumatic Osteomyelitis: A Comparative Analysis

Background

A previous study had reported that patients with osteomyelitis (OM) appeared to be more likely to develop hypocalcemia before and after surgery. Calcium sulfate (CS) is frequently used as a local antibiotic vehicle in the treatment of OM, which may also affect serum calcium level. However, whether changes of serum calcium level are caused by OM and/or local use of calcium sulfate remains unclear. Also, platelet (PLT) count plays a crucial predictive role in periprosthetic joint infections (PJIs), but its role in assisted diagnosis of OM is largely unknown. The purpose of this study was to determine whether serum calcium level and PLT count may be helpful in assisted diagnosis of PTOM.

Methods

Between January 2013 and December 2018, we analyzed 468 consecutive patients (392 males and 76 females), including 170 patients with posttraumatic OM (PTOM), 130 patients with aseptic bone nonunion (ABN), and 168 patients recovered from fractures with requirement of implant removal set as controls. Preoperative serological levels of calcium, phosphorus, and PLT were detected, and comparisons were conducted among the above three groups. Additionally, correlations and receiver operating characteristic (ROC) curves were displayed to test whether calcium level and PLT can differentiate patients with ABN and PTOM.

Results

Outcomes showed that the incidences of asymptomatic hypocalcemia (PTOM vs. ABN vs. controls = 22.94% vs. 6.92% vs. 8.82%, χ² = 21.098, P < 0.001) and thrombocytosis (PTOM vs. ABN vs. controls = 35.3% vs. 13.84% vs. 12.35%, χ² = 28.512, P < 0.001) were highest in PTOM patients. Besides, the mean serological levels of phosphorus in PTOM and ABN patients were significantly higher than those in the controls (P = 0.007). The Area Under the Curve (AUC) of the ROC curve outcomes revealed that, with the combination of serum calcium level with PLT count, the predictive role was acceptable (AUC 0.730, P < 0.001, 95% CI 0.681-0.780). Also, serological levels of calcium of 2.225 mmol/L and PLT count of 246.5 × 10⁹/L were identified as the optimal cut-off values to distinguish patients with and without PTOM. However, age- and gender-related differences in serum calcium levels (age, P = 0.056; gender, P = 0.978) and PLT count (age, P = 0.363; gender, P = 0.799) were not found to be statistically significant in any groups. In addition, no significant correlations were identified between serum calcium level and PLT count (R = 0.010, P = 0.839).

Conclusions

Asymptomatic hypocalcemia and thrombocytosis appeared to be more frequent in this cohort with PTOM. Serological levels of calcium and PLT count may be useful biomarkers in screening patients suspected of PTOM.

Pathophysiology and Molecular Imaging of Diabetic Foot Infections

Diabetic foot infection is the leading cause of non-traumatic lower limb amputations worldwide. In addition, diabetes mellitus and sequela of the disease are increasing in prevalence. In 2017, 9.4% of Americans were diagnosed with diabetes mellitus (DM). The growing pervasiveness and financial implications of diabetic foot infection (DFI) indicate an acute need for improved clinical assessment and treatment. Complex pathophysiology and suboptimal specificity of current non-invasive imaging modalities have made diagnosis and treatment response challenging. Current anatomical and molecular clinical imaging strategies have mainly targeted the host's immune responses rather than the unique metabolism of the invading microorganism. Advances in imaging have the potential to reduce the impact of these problems and improve the assessment of DFI, particularly in distinguishing infection of soft tissue alone from osteomyelitis (OM). This review presents a summary of the known pathophysiology of DFI, the molecular basis of current and emerging diagnostic imaging techniques, and the mechanistic links of these imaging techniques to the pathophysiology of diabetic foot infections.

Pathophysiology and Molecular Imaging of Diabetic Foot Infections

Diabetic foot infection is the leading cause of non-traumatic lower limb amputations worldwide. In addition, diabetes mellitus and sequela of the disease are increasing in prevalence. In 2017, 9.4% of Americans were diagnosed with diabetes mellitus (DM). The growing pervasiveness and financial implications of diabetic foot infection (DFI) indicate an acute need for improved clinical assessment and treatment. Complex pathophysiology and suboptimal specificity of current non-invasive imaging modalities have made diagnosis and treatment response challenging. Current anatomical and molecular clinical imaging strategies have mainly targeted the host's immune responses rather than the unique metabolism of the invading microorganism. Advances in imaging have the potential to reduce the impact of these problems and improve the assessment of DFI, particularly in distinguishing infection of soft tissue alone from osteomyelitis (OM). This review presents a summary of the known pathophysiology of DFI, the molecular basis of current and emerging diagnostic imaging techniques, and the mechanistic links of these imaging techniques to the pathophysiology of diabetic foot infections.

Impact of nutritional and inflammatory status in patients with critical limb-threatening ischemia

BACKGROUND

A pro-inflammatory state and a poor nutritional status have been associated with severity and prognosis of patients with peripheral arterial disease (PAD). The clinical applicability of the different pre-operative nutritional and inflammatory biomarkers in patients with critical limb-threatening ischemia (CLTI) was analyzed.

METHODS

A retrospective observational study was performed, that included all patients with CLTI revascularized from January 2016 to July 2019. The inflammatory state was calculated using neutrophil/lymphocyte (NLR), lymphocyte/monocyte (LMR) and platelet/lymphocyte ratios (PLR). For nutritional status, the Prognostic Nutritional Index (PNI) was calculated. Mortality and number of major amputations at 6 months and hospital length-of stay were studied.

RESULTS

310 patients were included. Higher levels of NLR and lower levels of PNI were associated with mortality (6.61±5.6 vs. 3.98±3.27, P=0.034; 40.33±7.89 vs. 45.73±7.48, P=0.05, respectively). Lower levels of PNI and LMR (42.57±7.82 vs. 45.44±7.65, P=0.036; 2.77±1.61 vs. 3.22±1.75, P=0.013, respectively) and higher levels of NLR (6.91±7.85 vs. 3.94±2.57, P=0.023) were associated with major amputations. The mean hospital length-of-stay was higher in patients with lower levels of PNI and LMR (P=0.000 and P=0.003) and higher levels of NLR and PLR (P=0.001 and P=0.002). A PNI<42.87 predicted short-term mortality with a 66.7% of sensitivity and a 66.8% of specificity (P=0.000).

CONCLUSIONS

Our experience suggests that these inflammatory and nutritional biomarkers are independent predictors of short-term mortality and major amputations. In addition, our results suggest that PNI could be used to predict the short-term mortality with high sensitivity and specificity.

Clinical, microbiological and inflammatory markers of severe diabetic foot infections

AIMS

In addition to systemic inflammatory response syndrome (SIRS), various clinical signs, microbiological findings and inflammatory markers could be associated with severe diabetic foot infections (DFI).

METHODS

This study included a retrospective cohort of 245 patients with DFI treated at San Juan de Dios Hospital in San José de Costa Rica. Erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), CRP/albumin ratio, peripheral blood leucocyte ratios and the Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) scoring system were evaluated. Univariate analysis was carried out between moderate and severe infections. ROC curves were plotted. Cut-off value of inflammatory markers for diagnosing severe infections was established and then dichotomized to be included in a logistic regression model. A score was designed based on its results.

RESULTS

Skin necrosis (p < 0.01, OR = 8.5, 95% CI = 3.5-20.9), ESR > 94 mm/h (p < 0.01, OR = 2.5, 95% CI = 1.2-5.1), albumin < 2.8 g/dl (p = 0.04, OR = 2.0, 95% CI = 1.0-4.1) and neutrophil-to-lymphocyte ratio (NLR) > 4.52 (p < 0.01, OR = 3.3, 95% CI = 1.6-6.5) were found to be predictive of severe infections. Score >5 had a good diagnosis performance for classifying severe infections. Moderate infections with a score >5 had a worse prognosis than moderate ones.

CONCLUSIONS

We found an association of necrosis, serum albumin, ESR and NLR values with severe DFI. The presence of these predictive factors of severity in cases of moderate infections was significantly associated with a higher rate of amputations and recurrences, longer duration of antibiotic treatment and longer hospital stays. DFI could be classified as mild, moderate, severe without SIRS and severe.

The effectiveness of blood routine parameters and some biomarkers as a potential diagnostic tool in the diagnosis and prognosis of Covid-19 disease

Since February-2020, the world has been battling a tragic public-health crisis with the emergence and spread of 2019-nCoV. Due to the lack of information about the pathogenesis-specific treatment of Covid-19, early diagnosis and timely treatment are important. However, there is still a lack of information about routine-blood-parameteres (RBP) findings and effects in the disease process. Although the literature includes various interventions, existing studies need to be generalized and their reliability improved. In this study, the efficacy of routine blood values used in the diagnosis and prognosis of Covid-19 and independent biomarkers obtained from them were evaluated retrospectively in a large patient group. Low lymphocyte (LYM) and white-blood-cell (WBC), high CRP and Ferritin were effective in the diagnosis of the disease. The (d-CWL) = CRPWBC∗LYM and (d-CFL) = CRP∗FerritinLYM biomarkers derived from them were the most important risk factors in diagnosing the disease and were more successful than direct RBP values. High d-CWL and d-CFL values largely confirmed the Covid-19 diagnosis. The most effective RBP in the prognosis of the disease was CRP. (d-CIT) = CRP*INR*Troponin; (d-CT) = CRP*Troponin; (d-PPT) = PT*Troponin*Procalcitonin biomarkers were found to be more successful than direct RBP values and biomarkers used in previous studies in the prognosis of the disease. In this study, biomarkers derived from RBP were found to be more successful in both diagnosis and prognosis of Covid-19 than previously used direct RBP and biomarkers.

Systemic Inflammation Response Index is an Independent Prognostic Indicator for Patients with Renal Cell Carcinoma Undergoing Laparoscopic Nephrectomy: A Multi-Institutional Cohort Study

Background

We conducted a multicenter clinical study to examine the prognostic value of the systemic inflammation response index (SIRI) in renal cell carcinoma (RCC) patients.

Methods

We collected patients who underwent nephrectomy from 2014 to 2019 at three centers (343 in the training group and 100 in the validation group). SIRI was created based on hemoglobin and lymphocyte to monocyte ratio (LMR). Kaplan–Meier curves and receiver operating characteristic (ROC) curves were used to analyze the effect of LMR, hemoglobin and SIRI on overall survival (OS) and cancer-specific survival (CSS) effects.

Results

In both the training and validation groups, SIRI was a better predictor of OS and CSS than LMR and hemoglobin. A total of 192 (56.0%) patients were included in grade 1, 108 (31.5%) in grade 2, and 43 (12.5%) in grade 3 based on SIRI in the training group. Higher SIRI was associated with worse prognosis. Multivariate cox regression analysis showed that SIRI was an independent prognostic risk factor for OS (grade 3 vs grade 1: HR=4.93; 95% CI 2.21–11.00, p < 0.001) and CSS (grade 3 vs grade 1: HR=6.29; 95% CI 2.28–17.39, p < 0.001) in patients with RCC. In addition, SIRI-based prognostic nomograms were able to better predict OS and CSS in RCC patients.

Conclusion

SIRI is an independent prognostic factor for patients undergoing laparoscopic nephrectomy for RCC, and a prognostic nomogram covering SIRI can better predict survival of RCC patients.

Distribution and reference interval establishment of neutral-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in Chinese healthy adults

Background

Neutral‐to‐lymphocyte ratio (NLR), lymphocyte‐to‐monocyte ratio (LMR), and platelet‐to‐lymphocyte ratio (PLR) are associated with coronavirus disease 2019 (COVID‐19) and many diseases, but there are few data about the reference interval (RI) of NLR, LMR, and PLR.

Methods

The neutrophil count, lymphocyte count, monocyte count, and platelet count of 404,272 Chinese healthy adults (>18 years old) were measured by Sysmex XE‐2100 automatic hematology analyzer, and NLR, LMR, and PLR were calculated. According to CLSI C28‐A3, the nonparametric 95% percentile interval is defined as the reference interval.

Results

The results of Mann‐Whitney U test showed that NLR (p < .001) in male was significantly higher than that in female; LMR (p < .001) and PLR (p < .001) in male were significantly lower than that in female. Kruskal‐Wallis H test showed that there were significant differences in NLR, LMR, and PLR among different genders and age groups (p < .001). The linear graph showed that the reference upper limit of NLR and PLR increased with age and the reference upper limit of LMR decreases with age in male population. In female population, the reference upper limit of NLR in 50–59 group, LMR in >80 group, and PLR in 70–79 group appeared a trough; the reference upper limit of NLR in >80 group, LMR in 50–59 group, and PLR in 40–49 group appeared peak.

Conclusion

The establishment of RI for NLR, LMR, and PLR in Chinese healthy adults according to gender and age will promote the standardization of clinical application.

The Clinical Implication of Dynamic Hematological Parameters in COVID-19: A Retrospective Study in Chongqing, China

Purpose

To analyze the clinical characteristics of patients with coronavirus disease 19 (COVID-19) in Chongqing, and identify the potential hematological markers for reference.

Patients and Methods

78 COVID-19-infected patients in Chongqing were recruited and divided into the non-severe and the severe group. The clinical characteristics and hematological features of the patients of the two groups were compared. Receiver-operating characteristic curves (ROC) were calculated to evaluate the diagnostic performance of potential markers, and the dynamic changes of blood routine analyzing items were compared between the non-severe and severe groups.

Results

78 patients (median age of 45 years, 41 females and 37 males) were enrolled. The patients in the severe group exhibited significantly lower lymphocyte (P<0.05) but higher neutrophil to lymphocyte ratio (NLR) (P<0.05) than the patients in the non-severe group. The highest area under the ROC curve (AUC) was lymphocyte (0.74). The patients in the severe group had a lower level of lymphocyte during hospitalization (P<0.01) and lymphocyte-monocyte ratio (LMR) in the progressive and convalescent phases (P<0.05) than the patients in the non-severe group. However, the level of neutrophil of the patients in the severe group was higher in the progressive phase (P<0.05), and so was NLR in the acute, progressive, and convalescent-phase (P<0.05).

Conclusion

Infected with COVID-19 changed the levels of lymphocyte, neutrophil, LMR, and NLR in the blood, and these analyzing items were significantly different between the non-severe and severe groups. Furthermore, the dynamic changes of lymphocyte and NLR levels may help discriminate the severe group from the non-severe group.

The population characteristics of the main leukocyte subsets and their association with chronic diseases in a community-dwelling population: a cross-sectional study

Aim:

To analyse the characteristics of the main leukocyte subsets and elucidate their distributions amongst the natural population. We wanted to determine whether leukocyte subsets are potential biomarkers to evaluate the risk of common chronic diseases.

Background:

The peripheral blood leukocyte count is a routine exam performed to detect pathogen infections. Recently, subsets of white blood cells and their homeostasis have shown strong associations with some chronic diseases. Therefore, studies aiming to discover whether the distribution of leukocyte counts and its subsets are useful for predicting health conditions are worthwhile.

Methods:

This cross-sectional study analysed 10 564 residents from the basic public health service project of the Health Checkup Program performed by the BaiYun Community Health Service Center. Data on demographic information, physical measurements, medical history, and routine blood examination parameters were collected using questionnaires and health check-ups. Restricted cubic spline incorporated into logistic regression analysis was performed to evaluate the association between subsets of leukocytes and common chronic diseases.

Findings:

The counts of leukocytes and their subsets in males were higher than those in females amongst all age groups, yet the percentages of lymphocytes and neutrophils did not present sex-specific differences. A low lymphocyte count and percentage were associated with old age. The neutrophil-to-lymphocyte ratio (NLR) in patients with hypertension was higher than that in the non-hypertensive population. The risk of NLR in the top quartiles was 1.17-fold higher than that in people in the lowest quartiles.

Conclusions:

The distributions of the white blood cell count and percentage were associated with age, sex, and body mass index (BMI). In addition to the immune barrier for pathogens, the NLR or monocyte-to-lymphocyte ratio (MLR) may be potentially used to indicate the risk of some chronic non-communicable diseases. Homeostasis of subsets of leukocytes may be an important biomarker for body health conditions.

Peptidylarginine Deiminase 4 as a Possible Biomarker of Plaque Instability in Carotid Artery Stenosis

BACKGROUND AND PURPOSE

Neutrophil extracellular traps (NETs) exhibit pro-inflammatory and pro-thrombotic properties. However, they have only been reported as important regulators in atherosclerosis, especially in atherothrombosis. We investigated the presence of NETs and plaque instability in patients with carotid artery stenosis.

MATERIAL AND METHODS

A total of 39 consecutive patients with carotid artery stenosis were evaluated. All patients underwent carotid artery stenting (CAS) with dual protection (simultaneous flow reversal + distal filter) and blood aspiration as a method of distal embolism prevention. Local arterial blood was aspirated at the stent site and peptidylarginine deiminase 4 (PAD4), which is essential for the formation of NETs, was measured. The relationships between PAD4 and the patient profile, blood examination and plaque data were investigated.

RESULTS

The mean value of PAD4 in local arterial blood in CAS was 0.5 ng/ml. Bivariate analysis demonstrated that PAD4 was associated with the neutrophil to lymphocyte ratio (p = 0.007), high-density lipoprotein (p = 0.02), triglycerides to high-density lipoprotein ratio (p = 0.007), ulceration (p = 0.02) and plaque contrast enhancement on T1 black blood imaging (p = 0.03). In multiple linear regression analyses, PAD4 was correlated with the neutrophil to lymphocyte ratio (p = 0.01) and ulceration (p = 0.01, cut-off value: 0.49 odds ratio: 19.3).

CONCLUSIONS

PAD4, representative of the presence of NETs, was high in carotid plaques with unstable features. The neutrophil to lymphocyte ratio in peripheral blood was suggested to be a biomarker of vulnerable plaques. Elucidating the role of NETs may aid in clarifying factors that promote the instability of carotid plaques.

The relation between neutrophil/lymphocyte and platelet/lymphocyte ratios with mortality and limb amputation after acute limb ischaemia

OBJECTIVE

Acute limb ischaemia is still considered a significant event, with considerable early- and long-term amputation and mortality risk. Our study aims to investigate the predictive role of pre-operative neutrophil/lymphocyte and platelet/lymphocyte ratios in terms of mortality and amputation risk in patients with acute limb ischaemia.

METHODS

Pre-operative blood samples of all patients admitted with acute limb ischaemia were used to calculate neutrophil/lymphocyte and platelet/lymphocyte ratios. Population was subdivided into quartiles by platelet/lymphocyte ratio and neutrophil/lymphocyte ratio values, and Kaplan-Meier life tables were obtained for overall survival and limb salvage. The optimal neutrophil/lymphocyte ratio and platelet/lymphocyte ratio cut-offs were obtained from receiver operating characteristic curves with all-cause mortality and all kinds of amputation. Stepwise multivariate analysis was performed in order to identify independent risk and protective factors for mortality and amputations.

RESULTS

A total of 168 patients were included in the analysis. Receiver operating characteristic curves identified cut-off values for neutrophil/lymphocyte ratio and platelet/lymphocyte ratio: neutrophil/lymphocyte ratio ≥5.57 for mortality; neutrophil/lymphocyte ratio ≥6.66 and platelet/lymphocyte ratio ≥269.9 for all amputations. Kaplan-Meier analysis revealed that survival rate in group neutrophil/lymphocyte ratio <5.57 was 83.4%, 78.9%, 73.7%, and 59.8%, respectively, at 12, 24, 36, and 48 months; in neutrophil/lymphocyte ratio ≥5.57 group was 62.4%, 51.3%, 47.8, and 43.7%, respectively (p < 0.0001). Freedom from all amputations was significantly higher in case of neutrophil/lymphocyte ratio and platelet/lymphocyte ratio below the identified cut-off values (p < 0.0001). Neutrophil/lymphocyte ratio and platelet/lymphocyte ratio were found as independent risk factors.

CONCLUSION

Neutrophil/lymphocyte ratio and platelet/lymphocyte ratio are reliable markers for stratification of mortality and limb amputations in patients with acute limb ischaemia. The inexpensive nature and ready availability of these biomarkers' values reinforced their usefulness in everyday clinical practice.

A novel classifier architecture based on deep neural network for COVID-19 detection using laboratory findings

Unfortunately, Coronavirus disease 2019 (COVID-19) is spreading rapidly all over the world. Along with causing many deaths, it has substantially affected the social life, economics, and infrastructure worldwide in a negative manner. Therefore, it is very important to be able to diagnose the COVID-19 quickly and correctly. In this study, a new feature group based on laboratory findings was obtained considering ethnical and genetic differences for interpretation of blood data. Then, using this feature group, a new hybrid classifier architecture based on deep learning was designed and COVID-19 detection was made. Classification performance indicators were obtained as accuracy of 94.95%, F1-score of 94.98%, precision of 94.98%, recall of 94.98% and AUC of 100%. Achieved results were compared with those of the deep learning classifiers suggested in literature. According to these results, proposed method shows superior performance and can provide more convenience and precision to experts for diagnosis of COVID-19 disease.

An evaluation of suspected cases of Hantavirus infection admitted to a tertiary care university hospital in Düzce, Turkey, between 2012 and 2018

Background/aim

Hantavirus is a rodent borne zoonosis caused by the members of the virus family Bunyaviridae, genus Hantavirus . In this study, we aimed to determine the role of peripheral blood leukocyte ratio in differential diagnosis of Hantavirus disease.

Materials and methods

The medical records of patients at the Düzce University Medical Faculty were examined retrospectively. A total of 20 patients diagnosed with hantavirus infection confirmed by serologic tests were included in the study (Group 1). The other group consisted of 30 patients suspected of hantavirus infection but found negative (Group 2). Demographic, clinical and laboratory characteristics, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and lymphocyte/monocyte (LMR) ratios of both groups were compared.

Results

As a result of the istatistics analysis, no difference was found between the groups’ age, sex, and clinical complaints except lethargy-weakness (P = 0.004) and diarrhea (P < 0.001). Hemogram analysis showed a significant difference between the groups in terms of leukocyte, hemoglobin, hematocrit, platelet, mean platelet volume (P < 0.05) and PLR (P = 0.001) and LMR (P = 0.003) values from peripheral blood leukocyte ratios.

Conclusion

In conclusion, NLR, PLR, and LMR ratios may be useful for clinicians in differential diagnosis of Hantavirus in patients presenting with similar symptoms of Hantavirus disease.

Correlation between the platelet-to-lymphocyte ratio and diabetic foot ulcer in patients with type 2 diabetes mellitus

OBJECTIVE

To investigate the correlation between the platelet-to-lymphocyte ratio (PLR) and diabetic foot ulcer (DFU) in patients with type 2 diabetes mellitus (T2DM).

METHOD

From January 2018 to August 2019, 206 patients with T2DM admitted to the Central Hospital of Wuhan, China, were enrolled in this study, including 104 patients with DFU (DFU group) and 102 patients without DFU (T2DM group). During the same period, 90 healthy subjects were randomly screened as normal controls (NC group). The correlation between PLR and DFU in patients with T2DM was explored by comparing the PLR of the subjects in the three groups.

RESULTS

The PLRs of the DFU and T2DM groups were higher than that of the NC group, whereas the PLR of the DFU group was higher than that of the T2DM group (p < 0.05). PLR was positively correlated with the Wagner DFU grade (p < 0.001). Based on logistic regression analysis, PLR was found to be an independent risk factor for DFU (OR =1.029, 95% CI: 1.019 ~ 1.039, p < 0.001). The receiver operating characteristic curve analysis of the PLR showed that the area under the curve of the PLR for predicting diabetic foot ulcer was 0.776 (p < 0.001), and the analysis determined that the optimal critical value of the PLR for predicting DFU was 147.6.

CONCLUSION

The PLR is significantly elevated in patients with DFU and positively correlated with the Wagner DFU grade, which might be a valuable marker for early diagnosis and assessment of severity of DFU.