Association between Platelet to Neutrophil Ratio (PNR) and Clinical Outcomes in STEMI Patients after Successful pPCI: A Secondary Analysis Based on a Cohort Study

Wang, Hao; Qing, Xiaochun; Wang, Hua; Gu, Yuanjun

doi:10.1155/2022/2022657

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…For mothers with hypertensive disorders of pregnancy, neonatal Apgar scores at 1 and 5 min of birth were positively associated with PNR [ 57 ]. For patients with ST-elevation myocardial infarction, a nonlinear relationship was found between the PNR and major adverse cardiovascular events, which was positively associated with the PNR when the PNR exceeded threshold [ 58 ]. For patients with ovarian cancer, PNR were independent prognostic indicators of poor relapse-free survival [ 59 ].…”

Section: Discussionmentioning

confidence: 99%

Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data

Yang,

Wang,

Zhang

et al. 2024

BMC Women's Health

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Background For women who have experienced recurrent pregnancy loss (RPL), it is crucial not only to treat them but also to evaluate the risk of recurrence. The study aimed to develop a risk predictive model to predict the subsequent early pregnancy loss (EPL) in women with RPL based on preconception data. Methods A prospective, dynamic population cohort study was carried out at the Second Hospital of Lanzhou University. From September 2019 to December 2022, a total of 1050 non-pregnant women with RPL were participated. By December 2023, 605 women had subsequent pregnancy outcomes and were randomly divided into training and validation group by 3:1 ratio. In the training group, univariable screening was performed on RPL patients with subsequent EPL outcome. The least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression were utilized to select variables, respectively. Subsequent EPL prediction model was constructed using generalize linear model (GLM), gradient boosting machine (GBM), random forest (RF), and deep learning (DP). The variables selected by LASSO regression and multivariate logistic regression were then established and compared using the best prediction model. The AUC, calibration curve, and decision curve (DCA) were performed to assess the prediction performances of the best model. The best model was validated using the validation group. Finally, a nomogram was established based on the best predictive features. Results In the training group, the GBM model achieved the best performance with the highest AUC (0.805). The AUC between the variables screened by the LASSO regression (16-variables) and logistic regression (9-variables) models showed no significant difference (AUC: 0.805 vs. 0.777, P = 0.1498). Meanwhile, the 9-variable model displayed a well discrimination performance in the validation group, with an AUC value of 0.781 (95%CI 0.702, 0.843). The DCA showed the model performed well and was feasible for making beneficial clinical decisions. Calibration curves revealed the goodness of fit between the predicted values by the model and the actual values, the Hosmer–Lemeshow test was 7.427, and P = 0.505. Conclusions Predicting subsequent EPL in RPL patients using the GBM model has important clinical implications. Future prospective studies are needed to verify the clinical applicability. Trial registration This study was registered in the Chinese Clinical Trial Registry with the registration number of ChiCTR2000039414 (27/10/2020).

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Section: Discussionmentioning

confidence: 99%

Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data

Yang,

Wang,

Zhang

et al. 2024

BMC Women's Health

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“…Fasting peripheral blood samples from all participants were used for routine and biochemical blood tests, as shown in Table 1 . We also calculated peripheral inflammatory indicators based on laboratory examination data, which results are also presented in Table 1 [ 20 , 21 ]. For the measurement of Neu5Ac, blood samples were gathered from all patients after the diagnosis of MMD.…”

Section: Methodsmentioning

confidence: 99%

Correlation of Serum N-Acetylneuraminic Acid with the Risk of Moyamoya Disease

Liu

Zeng

et al. 2023

Brain Sciences

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N-acetylneuraminic acid (Neu5Ac) is a functional metabolite and has been demonstrated to be a risk factor for cardiovascular diseases. It is not clear whether Neu5Ac is associated with a higher risk of cerebrovascular disorders, especially moyamoya disease (MMD). We sought to elucidate the association between serum Neu5Ac levels and MMD in a case–control study and to create a clinical risk model. In our study, we included 360 MMD patients and 89 matched healthy controls (HCs). We collected the participants’ clinical characteristics, laboratory results, and serum Neu5Ac levels. Increased level of serum Neu5Ac was observed in the MMD patients (p = 0.001). After adjusting for traditional confounders, the risk of MMD (odds ratio [OR]: 1.395; 95% confidence interval [CI]: 1.141–1.706) increased with each increment in Neu5Ac level (per μmol/L). The area under the curve (AUC) values of the receiver operating characteristic (ROC) curves of the basic model plus Neu5Ac binary outcomes, Neu5Ac quartiles, and continuous Neu5Ac are 0.869, 0.863, and 0.873, respectively. Furthermore, including Neu5Ac in the model offers a substantial improvement in the risk reclassification and discrimination of MMD and its subtypes. A higher level of Neu5Ac was found to be associated with an increased risk of MMD and its clinical subtypes.

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Platelet-Related Indicators: Potential Role in Early Prediction of Bronchopulmonary Dysplasia

Zhang,

Chen,

Chen

et al. 2024

Clin. Exp. Obstet. Gynecol.

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Background: Bronchopulmonary dysplasia (BPD) is the most common chronic respiratory disease in extreme preterm infants, and inflammation is the main contributor that initiates this lung injury. As platelet-related indicators such as platelet-to-lymphocyte ratio (PLR) and platelet-to-neutrophil ratio (PNR) are potential systemic inflammatory biomarkers and it has been shown to be good predictors of lung diseases. The objective of this study was to assess the potential role of platelet-related indicators in early prediction for BPD. Methods: Neonates with gestational ages <32 weeks (w) from two tertiary neonatal intensive care units between January 2019 and April 2022 were included and the association between the platelet-related indicators and BPD were analyzed by logistic regression analysis and receiver operating characteristic curve. Results: 533 preterm infants were admitted, including 165 preterm infants with BPD and 368 preterm infants without BPD. The infants in the BPD group had higher PLR and PNR at birth, lower platelet (P) count at 2 w than those in the without BPD group. The high PLR at birth, high PNR at birth and low P at 2 w were independently associated with the risk of BPD. PLR at birth represented a predictive value for BPD with the area under the curve (AUC) being 0.589, sensitivity was 0.661, and specificity was 0.579 when the threshold was 135.33. PNR at birth represented a predictive value for BPD with the AUC being 0.576, sensitivity was 0.612, and specificity was 0.589 when the threshold was 129.12. P at 2 w represented a predictive value for BPD with the AUC being 0.668, sensitivity was 0.548, and specificity was 0.711 when the threshold was 285.5. The predictive value of the model was improved when including PLR at birth, PNR at birth, P at 2 w, and gestational age, with AUC being 0.798, sensitivity was 0.754, and specificity was 0.737. Conclusions: Combining PLR at birth, PNR at birth, P at 2 w, and gestational age improved the value in early prediction of BPD.

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Association between Platelet to Neutrophil Ratio (PNR) and Clinical Outcomes in STEMI Patients after Successful pPCI: A Secondary Analysis Based on a Cohort Study

Cited by 3 publications

References 27 publications

Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data

Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data

Correlation of Serum N-Acetylneuraminic Acid with the Risk of Moyamoya Disease

Platelet-Related Indicators: Potential Role in Early Prediction of Bronchopulmonary Dysplasia

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