Platelet-to-Lymphocyte Ratio Predicts the Presence of Diabetic Neurogenic Bladder

Association of platelet-to-lymphocyte ratio levels with the risk of cardiac adverse events in people with type 2 diabetes undergoing percutaneous coronary intervention: A large-scale prospective cohort study

BACKGROUND

The platelet-to-lymphocyte ratio (PLR), a promising inflammatory biomarker, contributes to the development of atherosclerosis and type 2 diabetes (T2D). Therefore, this study aimed to elucidate the importance of PLR in predicting adverse events in people undergoing percutaneous coronary intervention (PCI) with T2D.

METHODS

We consecutively enrolled 8831 people who underwent PCI and divided them into four groups according to PLR and glycemic metabolic status (PLR-Low/High without T2D, PLR-Low/High with T2D). The endpoints were major adverse cardiovascular and cerebrovascular events (MACCE) and stent thrombosis. A multivariate Cox regression analysis was performed to determine this association.

RESULTS

During the 2.4-year follow-up, 663 (7.5%) MACCE and 75 (0.85%) stent thromboses were recorded. The risk of MACCE (hazard ratio [HR]: 1.30, 95% confidence interval [CI]: 1.10-1.53, P = 0.002) and stent thrombosis (HR: 2.32, 95% CI: 1.38-3.90, P = 0.002) was significantly higher in people with high PLR levels than in those with low PLR. Among people with T2D, the PLR-High group showed a significantly higher risk of MACCE (HR: 1.59, 95% CI: 1.21-2.09, P = 0.001) and stent thrombosis (HR: 3.15, 95% CI: 1.32-7.52, P = 0.010). However, these associations were not significant in people without T2D.

CONCLUSIONS

PLR has been originally documented as a significant predictor of poor prognosis and a high incidence of stent thrombosis in people undergoing PCI, especially in those with T2D.

Is platelet to lymphocyte ratio predictive of preeclampsia? A systematic review and meta-analysis

BACKGROUND

To evaluate the value of the platelet-to-lymphocyte ratio (PLR) in predicting preeclampsia (PE) in pregnant women.

METHODS

PubMed, EMBASE and Web of Science databases were searched for observational studies (cohort, case-control or cross-sectional) that reported pre-treatment maternal PLR values in women with and without PE. The analysis was done using a random effects model. Pooled effect sizes were reported as weighted mean difference (WMD) with 95% confidence intervals (CIs). Newcastle-Ottawa Scale (NOS) was used to evaluate the risk of bias.

RESULTS

Twenty-five studies with 7755 patients were included in this meta-analysis. PLR was comparable in patients with PE and healthy pregnant women (WMD -2.97; 95% CI: -11.95 to 6.02; N = 16). Patients with mild (WMD -3.00; 95% CI: -17.40 to 11.41; N = 12) and severe PE (WMD -5.77; 95% CI: -25.48 to 13.94; N = 14) had statistically similar PLR, compared to healthy controls.

CONCLUSIONS

Our findings show similar PLR in PE and healthy pregnancies. PLR, therefore, may not be used to differentiate between PE and normal pregnancy or for assessing the severity of PE. The majority of included studies were case-control, potentially introducing bias, and we identified evidence of publication bias as well.

Progress in the study of biomarkers for early prediction of systemic inflammatory response syndrome after percutaneous nephrolithotomy

Urolithiasis is a common and frequent disease in urology. Percutaneous nephrolithotomy (PCNL) is preferred for the treatment of upper urinary tract stones and complicated renal stones >2 cm in diameter, but it has a higher rate of postoperative complications, especially infection, compared with other minimally invasive treatments for urinary stones. Complications associated with infection after percutaneous nephrolithotomy include transient fever, systemic inflammatory response syndrome (SIRS), and sepsis, which is considered one of the most common causes of perioperative death after percutaneous nephrolithotomy. In contrast, SIRS serves as a sentinel for sepsis, so early intervention of SIRS by biomarker identification can reduce the incidence of postoperative sepsis, which in turn reduces the length of stay and hospital costs for patients. In this paper, we summarize traditional inflammatory indicators, novel inflammatory indicators, composite inflammatory indicators and other biomarkers for early identification of systemic inflammatory response syndrome after percutaneous nephrolithotomy.

Lower Platelet-to-Lymphocyte Ratio Was Associated with Poor Prognosis for Newborn Patients in NICU

Background: Platelet-to-lymphocyte ratio (PLR) is reported to be related to the outcome of intensive care unit (ICU) patients. However, little is known about their associations with prognosis in newborn patients in neonatal ICU (NICU). The aim of the present study was to investigate the prognostic significance of the PLR for newborn patients in the NICU. Methods: Data on newborn patients in the NICU were extracted from the Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC III) database. The initial PLR value of blood examinations within 24 h was analyzed. Spearman's correlation was used to analyze the association of PLR with the length of hospital and ICU stays. The chi-square test was used to analyze the association of PLR with mortality rate. Multivariable logistic regression was used to determine whether the PLR was an independent prognostic factor of mortality. The area under the receiver operating characteristic (ROC) curve was used to assess the predictive ability of models combining PLR with other variables. Results: In total, 5240 patients were enrolled. PLR was negatively associated with length of hospital stay and ICU stay (hospital stay: ρ = −0.416, p < 0.0001; ICU stay: ρ = −0.442, p < 0.0001). PLR was significantly correlated with hospital mortality (p < 0.0001). Lower PLR was associated with higher hospital mortality (OR = 0.85, 95% CI = 0.75−0.95, p = 0.005) and 90-day mortality (OR = 0.85, 95% CI = 0.76−0.96, p = 0.010). The prognostic predictive ability of models combining PLR with other variables for hospital mortality was good (AUC for Model 1 = 0.804, 95% CI = 0.73−0.88, p < 0.0001; AUC for Model 2 = 0.964, 95% CI = 0.95−0.98, p < 0.0001). Conclusion: PLR is a novel independent risk factor for newborn patients in the NICU.