Evaluation of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and lymphocyte to monocyte ratio in patients with cellulitis

Hematological parameters as diagnostic biomarkers for patients with rosacea

Rosacea is a chronic inflammatory skin disease. Systemic inflammation plays a vital role in the pathogenesis of rosacea. Many studies have reported hematological parameters as biomarkers for diseases with inflammatory processes. However, the diagnostic value of hematological parameters in rosacea remains a puzzle. This study involved 462 patients with rosacea, including erythematotelangiectatic rosacea (ETR, n = 179), papulopustular rosacea (PPR, n = 250), and phymatous rosacea (PhR, n = 33), and 924 healthy control subjects. Demographic, clinical, and laboratory information was collected and compared between rosacea subtypes. The hematological parameters of the patients and the healthy controls were compared retrospectively. The platelet volume (MPV) and platelet crit (PCT) were significantly upregulated, and the lower red cell distribution width (RDW) was significantly downregulated in rosacea compared to healthy controls, and they were identified as the diagnostic biomarkers for rosacea with area under the curve values of 0.828, 0.742, and 0.787, respectively. Comparing the hematological parameters among the three rosacea subtypes, we found that platelet-to-lymphocyte ratio and platelet-to-neutrophil ratio values in the ETR group were significantly higher than those in the PPR and PhR groups. The correlation between hematological parameters and clinical scores showed that RDW was negatively correlated with the Clinician Erythema Assessment score. However, there was no significant correlation between the Investigator Global Assessment score and hematological parameters. In conclusion, PCT, MPV, and RDW have diagnostic value for rosacea, and RDW is correlated with the severity of rosacea erythema, implying the potential applications of PCT, MPV, and RDW in the diagnosis and monitoring of rosacea.

Prognostic Significance of NLR, LMR, PLR, and CRP-Albumin Ratio in Lower Extremity Cellulitis: A Hospitalization and Recurrence Analysis

Cellulitis, an inflammatory disease of the skin and subcutaneous tissue caused by bacterial agents, frequently causes lower-extremity wounds. Many new biomarkers have been introduced to aid the diagnosis of inflammatory diseases. In this study, we aimed to evaluate the risk of recurrence of lower-extremity cellulitis wounds and the factors determining the need for hospitalization. Demographic characteristics and underlying diseases of the patients, white blood cell count, neutrophil, lymphocyte, monocyte, neutrophil, lymphocyte, lymphocyte and monocyte counts at admission, white blood cell count at admission, platelet count, total protein, albumin, erythrocyte sedimentation rate, C-reactive protein (CRP), procalcitonin level, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and CRP/albumin ratio were evaluated. Of the 132 patients with lower extremity cellulitis wounds, the median age was 56 years (range, 20-96 years), and 88 (66.7%) were male. Diabetes mellitus was the most commonly associated systemic disease. The most common symptom (97%) was a rash. Of the patients, 80 (60.6%) were hospitalized and 52 (39.4%) were treated as outpatients. Seventeen (12.9%) patients had recurrent cellulitis. While comorbidities and increased lesion size increased the risk in patients with recurrent cellulitis, median platelet count (P = .010), D-dimer level (P = .036), and CRP-Alb ratio (P = .019) were higher. Particularly increased lesion size, platelet count, total protein, and CRP levels should be a warning to clinicians in terms of the need for hospitalization and the risk of recurrence in patients with cellulite. In our study, PLR and CRP/albumin ratios were found to be high in these patient groups, and determining the usefulness of new biomarkers through new studies will give us a new perspective in clinical practice.

Clinical and Laboratory Parameters for Differential Diagnosis of Necrotizing Faciitis and Cellulitis

ObjectiveS

Necrotizing fasciitis (NF) requires surgical intervention and has high morbidity and mortality. Furthermore, it can be confusing with some skin diseases such as cellulitis. We investigated the roles of clinical and laboratory parameters at the time of admission to the hospital in the differential diagnosis of NF and cellulitis patients.

Methods

Patients with cellulitis and NF located between the nipple level and the knee between January 2018 and January 2021 were included in our retrospective study. The fever, history, complete blood count results, blood biochemistry, C-reactive protein and procalcitonin values of the patients at the time of admission to the emergency department, length of hospital stay, mortality rates, and laboratory risk indicator for necrotizing fasciitis (LRINEC) scores were recorded and evaluated whether there was a difference in both patient groups.

Results

A total of 55 patients, including 26 patients in the NF group and 29 patients in the cellulite group, were included in the study. It was observed that patients with NF applied to the hospital statistically earlier, had higher leukocyte, platelet and neutrophil levels, had longer hospital stays and had higher mortality numbers.

Conclusion

In high leukocyte, platelet, and neutrophil levels in the case of cellulitis patients, the clinician should follow the patient's clinic course closely and keep NF in mind.

The Role of C-Reactive Protein and Neutrophil to Lymphocyte Ratio in Predicting the Severity of Odontogenic Infections in Adult Patients

Background and Objectives: Odontogenic infections (OI) represent a frequent cause of dental and maxillo-facial interventions, mostly due to late presentations or misdiagnosed complications. It is believed that the intensity of the immunoinflammatory response in OI is the main prognostic factor. Therefore, in this research, it was pursued to determine if the combination of C-reactive protein (CRP) and Neutrophil to Lymphocyte Ratio (NLR) (CRP-NLR) may serve as potential severity predictors in patients with odontogenic infections. Materials and Methods: A retrospective analysis on 108 patients hospitalized for odontogenic infections was conducted at the Department of Maxillofacial Surgery. Depending on the symptom severity scale, patients hospitalized with OI were divided into two equal groups based on infection severity (SS). Results: Patients with severe OI from Group B were associated more frequently with diabetes mellitus and smoking more often than those with a lower severity from Group A. In Group A, abscesses of odontogenic origin accounted for 70.4% of hospitalizations, while in Group B, abscesses and cellulitis were associated in 55.6% of cases (p-value < 0.001). The disease outcomes were more severe in Group B patients, where 22.2% of them developed sepsis, compared to 7.4% of Group A patients (p-value = 0.030). However, there was no significant difference in mortality rates. The SS and systemic immune inflammation index (SII) scores of Group B patients were substantially higher than Group A patients (13.6 vs. 6.1 for the SS score, p-value < 0.001), respectively, 2312.4 vs. 696.3 for the SII score (p-value < 0.001). All biomarker scores, including the CRP-NLR relationship, were considerably higher in Group B patients, with a median score of 341.4 vs. 79.0 in Group B (p-value < 0.001). The CRP-NLR association determined a 7.28-fold increased risk of severe OI. The receiver operating curve (ROC) analysis of CRP-NLR yielded an area under curve (AUC) value of 0.889, with high sensitivity (79.6%) and high specificity (85.1%), for predicting a severe odontogenic infection using biomarkers measured at hospital admission (p-value < 0.001). Conclusions: Therefore, it can be concluded that CRP-NLR is a reliable and affordable biomarker for determining the severity of odontogenic infections that may be included in other prognostic models for dental infections.

NLR, MLR, PLR and RDW to predict outcome and differentiate between viral and bacterial pneumonia in the intensive care unit

The neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and red cell distribution width (RDW) are emerging biomarkers to predict outcomes in general ward patients. However, their role in the prognostication of critically ill patients with pneumonia is unclear. A total of 216 adult patients were enrolled over 2 years. They were classified into viral and bacterial pneumonia groups, as represented by influenza A virus and Streptococcus pneumoniae, respectively. Demographics, outcomes, and laboratory parameters were analysed. The prognostic power of blood parameters was determined by the respective area under the receiver operating characteristic curve (AUROC). Performance was compared using the APACHE IV score. Discriminant ability in differentiating viral and bacterial aetiologies was examined. Viral and bacterial pneumonia were identified in 111 and 105 patients, respectively. In predicting hospital mortality, the APACHE IV score was the best prognostic score compared with all blood parameters studied (AUC 0.769, 95% CI 0.705–0.833). In classification tree analysis, the most significant predictor of hospital mortality was the APACHE IV score (adjusted P = 0.000, χ2 = 35.591). Mechanical ventilation was associated with higher hospital mortality in patients with low APACHE IV scores ≤ 70 (adjusted P = 0.014, χ2 = 5.999). In patients with high APACHE IV scores > 90, age > 78 (adjusted P = 0.007, χ2 = 11.221) and thrombocytopaenia (platelet count ≤ 128, adjusted P = 0.004, χ2 = 12.316) were predictive of higher hospital mortality. The APACHE IV score is superior to all blood parameters studied in predicting hospital mortality. The single inflammatory marker with comparable prognostic performance to the APACHE IV score is platelet count at 48 h. However, there is no ideal biomarker for differentiating between viral and bacterial pneumonia.