Mean platelet volume and red blood cell distribution width is associated with prognosis in premature neonates with sepsis

Prediction of Prognosis in Patients with Sepsis Based on Platelet-Related Genes

The study aimed to develop a risk prognostic model using platelet-related genes (PRGs) to predict sepsis patient outcomes. Sepsis patient data from the Gene Expression Omnibus (GEO) database and PRGs from the Molecular Signatures Database (MSigDB) were analyzed. Differential analysis identified 1139 differentially expressed genes (DEGs) between sepsis and control groups. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed enrichment in functions related to immune cell regulation and pathways associated with immune response and infectious diseases. A risk prognostic model was established using LASSO and Cox regression analyses, incorporating 10 PRGs selected based on their association with sepsis prognosis. The model demonstrated good stratification and prognostic effects, confirmed by survival and receiver operating characteristic (ROC) curve analyses. It served as an independent prognostic factor in sepsis patients. Further analysis using the CIBERSORT algorithm showed higher infiltration of activated natural killer (NK) cells and lower infiltration of CD8 T cells and CD4 T cells naïve in the high-risk group compared to the low-risk group. Additionally, expression levels of human leukocyte antigen (HLA) genes were significantly lower in the high-risk group. In conclusion, the 10-gene risk model based on PRGs accurately predicted sepsis patient prognosis and immune infiltration levels. This study provides valuable insights into the role of platelets in sepsis prognosis and diagnosis, offering potential implications for personalized treatment strategies.

Big data insights into the diagnostic values of CBC parameters for sepsis and septic shock in burn patients: a retrospective study

Sepsis and septic shock are prevalent and life-threatening complications in burn patients. Despite their severity, existing diagnostic methods are limited. This study aims to evaluate the efficacy of Complete Blood Count (CBC) and CBC ratio markers in diagnosing sepsis and septic shock, and in predicting mortality among burn patients. A cohort of 2757 burn patients was examined to ascertain the correlation between various CBC parameters, their ratios, and the incidence of sepsis and related mortality. Key markers analyzed included Red Cell Distribution Width (RDW), Mean Platelet Volume (MPV), Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and Mean Platelet Volume-to-Platelet Ratio (MPVPR). Our findings indicate that 65.5% of the patients developed sepsis, and 24.3% succumbed to their conditions. The CBC parameters RDW, MPV, NLR, MPVPR, and MPV-to-Lymphocyte Ratio (MPVLR) were significantly associated with sepsis and mortality. These markers showed considerable temporal variation and yielded an Area Under the Curve (AUC) of over 0.65 in an unadjusted Generalized Estimating Equations (GEE) model. This study underscores the potential of RDW, MPV, NLR, MPVPR, and MPVLR as vital prognostic tools for diagnosing sepsis, septic shock, and predicting mortality in burn patients. Although based on a single-center dataset, our results contribute to the enhancement of sepsis management by facilitating earlier, more precise diagnosis and treatment strategies. Further multi-center research is necessary to confirm these findings and broaden their applicability, establishing a solid base for future explorations in this crucial field.

The prognostic value of red blood cell distribution width for pulmonary infection in elderly patients received abdominal surgery with tracheal intubation and general anesthesia

BACKGROUND

Red blood cell distribution width (RDW) has been shown to be an important predictor of the occurrence of various inflammatory and infectious diseases. However, the predictive value of RDW for pulmonary infection in elderly patients undergoing abdominal surgery under general anesthesia with endotracheal intubation remains unclear.

METHODS

A total of 200 eligible elderly patients who underwent abdominal surgery with endotracheal intubation and general anesthesia in our hospital from January 2019 to January 2022 were included in this study. During hospitalization, there were 64 cases with different degrees of pulmonary infection, and 136 cases without pulmonary infection. Participants' RDW levels were analyzed on admission. Serum levels of inflammatory factors in infected patients were analyzed during hospitalization. Multivariate logistic analysis was performed to evaluate clinical factors for pulmonary infection during hospitalization following-up abdominal surgery with endotracheal intubation and general anesthesia in elderly patients. Youden's J statistic was used to define the correlation.

RESULTS

RDW at admission was independently associated with the risk of pulmonary infection in elderly patients undergoing general anesthesia with endotracheal intubation for abdominal surgery ([OR 1.952, 95% confidence interval 1.604 to 2.279, p=0.006]). RDW at admission was statistically positively correlated with inflammatory factors, including procalcitonin (p<0.001), C-reactive protein (p<0.001), and tumor necrosis factor-α (p<0.001), in elderly patients with postoperative pneumonia who underwent abdominal surgery.

CONCLUSION

RDW at admission had predictive value for pulmonary infection in elderly patients undergoing abdominal surgery under general anesthesia with endotracheal intubation.

Clinical Value of Laboratory Biomarkers for the Diagnosis and Early Identification of Culture-Positive Sepsis in Neonates

Background

Neonatal sepsis (NS) is an important cause of mortality and morbidity in newborn infants. However, early diagnosis of proven sepsis (culture-positive sepsis) is difficult. We aimed to define the best combination of biomarkers to diagnose the onset of neonatal sepsis, distinguish culture-positive neonatal sepsis and predict the time of confirmation of neonatal sepsis.

Methods

This retrospective cohort study was conducted from January 2016 to December 2020. Clinical characteristics and laboratory results were collected from the electronic medical records. Hematology profiles and biochemical indices were obtained upon hospital admission. Multivariate logistic regression analysis was used to evaluate the risk factors and construct a nomogram. The performance of the nomogram was evaluated by receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Multivariable linear regression was used to identify the association between admission-to-diagnosis interval (ADI) and correlated variables.

Results

Overall, 148 infants with neonatal sepsis (67 culture positive sepsis and 81 culture negative sepsis) and 150 controls were included. C-reactive protein (CRP) (p<0.001), platelets (PLT) (p=0.011), urea nitrogen (BUN) (p=0.001) and conjugated bilirubin (BC) (p=0.007) were independent risk factors for neonatal sepsis. The diagnostic nomogram based on CRP, PLT, BUN and BC showed excellent diagnostic accuracy for neonatal sepsis (AUC=0.928). The nomogram based on red blood cell distribution width (RDW) and mean platelet volume (MPV) was efficient in distinguishing proven neonatal sepsis from clinical sepsis, with an AUC of 0.700 in the training group and 0.689 in the validation group. Decision curve analysis (DCA) showed that the nomogram had good clinical utility. Multivariable analysis revealed gestational age, CRP, and MPV were significantly associated with admission-to-diagnosis interval in culture-positive sepsis (p < 0.001).

Conclusion

Different combinations biomarkers were performant to diagnose the onset of neonatal sepsis, distinguish culture-positive neonatal sepsis, predict the time of confirmation, and aid in individual therapy.

Association Between Mean Platelet Volume and Benign Prostatic Hyperplasia: A Population Study from the TCLSIH Cohort Study

Purpose

This study aimed to prospectively investigate the association between mean platelet volume (MPV) levels and risk of benign prostatic hyperplasia (BPH) in a general Chinese adult male population, and assessed this association in metabolic syndrome (MetS) patients.

Patients and methods

This study included a total of 14,923 male participants free from BPH at baseline. MPV was measured by the method of laser-based flow cytometric impedance according to the complete blood sample. BPH was defined as total prostate volume (TPV) ≥ 30 mL, TPV was determined by transabdominal ultrasonography. Multivariable Cox proportional hazards models were fitted to calculate hazards ratios (HRs) and corresponding 95% confidence intervals (CIs) for BPH risk with NLR levels.

Results

During a median follow-up of 2.7 years, 4848 BPH cases were documented in total male participants, and 1787 BPH cases were documented in MetS participants. After adjusting for age, body mass index, smoking, alcohol and personal and family history of disease, the multivariable-adjusted HRs of BPH were 1.00 (reference), 1.03 (95% CIs 0.96, 1.11), 1.00 (95% CIs 0.92, 1.08) and 0.98 (95% CIs 0.90, 1.06), respectively, for participants with MPV in the 1st, 2nd, 3rd and 4th quartiles (P for trend = 0.47). In MetS patients, the multivariable-adjusted HRs of BPH were 1.00 (reference), 1.03 (95% CIs 0.90, 1.16), 0.99 (95% CIs 0.87, 1.14) and 1.01 (95% CIs 0.89, 1.15) (P for trend= 0.98), respectively.

Conclusion

A non-significant association was observed between MPV levels and risk of BPH, and no association in this association in MetS patients. Our findings support the notion that MPV levels may not be a target for BPH prevention and intervention.

Relationship between platelet activation markers and spontaneous abortion: A meta-analysis

Numerous studies have indicated that mean platelet volume (MPV) and platelet distribution width (PDW) were correlated with spontaneous abortion (SAB), but the results were contradictory. Hence, we performed a meta-analysis to assess the association of MPV and PDW with SAB. We systematically searched on China National Knowledge Internet, PubMed, and Embase up to May 2022 to retrieve eligible studies. The synthesized standard mean difference (SMD) with a 95% confidence interval (CI) was used to evaluate the correlation of MPV and PDW with SAB. A total of 20 studies were finally included in this meta-analysis. The pooled analysis results showed that PDW was markedly increased in patients with SAB versus women with a healthy pregnancy (SMD = 1.03; 95% CI: 0.51-1.54; p = 0.0001), while there were no significant differences in MPV between women with SAB and those with healthy pregnancy (SMD = 0.19; 95% CI: -0.26 to 0.65; p = 0.40). Therefore, PDW may serve as a potential marker for predicting SAB. However, homogeneous and multiethnic studies with larger sample sizes are warranted to validate our findings due to several limitations in this meta-analysis.

Mean Platelet Volume in Neonatal Sepsis: Meta-Analysis of Observational Studies

Introduction: Early onset neonatal sepsis (EONS), particularly in preterm sepsis, is a potentially fatal issue. Evaluation of mean platelet volume (MPV) as an EONS predictor was the goal. Methods: Four databases were used to conduct a systematic evaluation of cohort and case−control studies. Up till the end of October 2022, 137 articles were found utilizing the search method. Following the review, 12 studies were included. Leukocytes, MPV, platelets, gender, birth weight, gestational age, mortality, and C-reactive protein (CRP) were all taken into account while analyzing the prediction of EONS. Inverse-variance methodology and the random-effects model were used. Using GRADE, the evidence’s quality was evaluated. Results: Neonatal patients with sepsis had significantly higher MPV levels than do neonates without sepsis (MD 1.26; 95% CI 0.89−1.63; p < 0.001). An increased MPV during the first 24 h postpartum was associated with high CRP values and high risk of neonatal mortality. In the investigations, the MPV cutoff for sepsis patients was 9.95 (SD 0.843). Overall certainty of the evidence was very low. Conclusions: The increased MPV during the first 24 h postpartum may be predictive of EONS and mortality. Future studies are warranted.

Value of red cell distribution width-to-platelet ratio as a predictor for morbidity and mortality in neonatal intensive care unit

Scoring neonatal acute physiology is significant for improving the survival rate of neonates in neonatal intensive care units (NICU). Red blood cell distribution width to platelet ratio (RPR) has been used to evaluate physiology of multiple diseases. However, the value of RPR as a predictor for morbidity and mortality in NICU remains unclear. The score for neonatal acute physiology and perinatal extension II (SNAPE-II) was used to evaluate the physiology and separate neonates into Mild (n = 45), Moderate (n = 45) and Severe (n = 45) groups. White blood cell count (WBC), procalcitonin (PCT) and C-reactive protein (CRP) in cord blood were examine. Spearman’s correlation and receiver operating characteristic analysis were performed to demonstrated the correlations of these indicators. There was a positive correlation between the SNAPE-II scores and RPR in neonates in NICU. The WBC, PCT and CRP levels increased with the upregulation of SNAPE-II scores in neonates in NICU and there were positive correlations between RPR and WBC, PCT and CRP, respectively. RPR could be used as a supplementary predictor for the evaluation of neonatal morbidity and mortality in NICU beside SNAPE-II.