The clinical utility of D-dimer/platelet count ratio in pregnant women

Derivation and external validation of prediction model for hypertensive disorders of pregnancy in twin pregnancies: a retrospective cohort study in southeastern China

OBJECTIVE

We aimed to develop and validate an effective prediction model for hypertensive disorder of pregnancy (HDP) in twin pregnancies after 28 weeks of gestation.

DESIGN

Retrospective cohort study.

SETTING

Maternity hospital.

PARTICIPANTS

We recruited twin pregnancies who delivered in Fujian Maternity and Child Health Hospital from January 2014 to December 2019 as a training cohort. Besides, we included twin pregnancies delivered at Fujian Maternity and Child Health Hospital; Women and Children's Hospital of Xiamen University from January 2020 to December 2021 as temporal validation set and geographical validation set, respectively.

MAIN OUTCOME MEASURES

We performed univariate analysis, the least absolute shrinkage and selection operator regression and Boruta algorithm to screen variables. Then, we used multivariate logistic regression to construct a nomogram that predicted the risk of HDP in twin pregnancies. We employed the bootstrap resampling method for internal validation, used the receiver operating characteristic (ROC) curve to evaluate the predictive performance of the model and constructed decision curve analysis to assess the clinical benefit of the model. Thereafter validated the nomogram through the index of concordance (C-index) and calibration curves in the temporal validation set and geographical validation set.

RESULTS

Multivariate logistic regression showed that primipara (OR=1.284, 95% CI=1.016 to 1.622), the higher pre-pregnancy body mass index (OR=1.077, 95% CI=1.039 to 1.116), the higher uric acid (OR=1.004, 95% CI=1.002 to 1.005), the higher urea nitrogen (OR=1.198, 95% CI=1.087 to 1.321), the higher creatinine (OR=1.011, 95% CI=1.002 to 1.020), the higher lactate dehydrogenase (OR=1.001, 95% CI=1.000 to 1.002), the higher ratio of large platelets (OR=1.034, 95% CI=1.020 to 1.048), the lower albumin (OR=0.887, 95% CI=0.852 to 0.924), the lower calcium (OR=0.148, 95% CI=0.058 to 0.375) are influencing factors of HDP in twin pregnancies. The area under the ROC curve of the prediction model was 0.763. The C-index were 0.842 and 0.746, respectively, on the temporal validation set and geographical validation set.

CONCLUSIONS

The new model for predicting HDP in twin pregnancies constructed by clinical characteristics and laboratory indicators had high clinical application value. It can be used to individually evaluate the occurrence of HDP in twin pregnancies after 28 weeks of gestation.

D-Dimer/Platelet Ratio Predicts in-Hospital Death in Patients with Acute Type a Aortic Dissection

Purpose

Acute Type A aortic dissection (ATAAD) is a rare and life-threatening aortic disease. This study was aimed at the potential of the D-dimer to platelet count ratio (DPR) as a prognostic indicator of ATAAD.

Patients and Methods

This study retrospectively analyzed ATAAD patients who were admitted to the Department of Cardiac Surgery, Fujian Medical University Union Hospital from January 2022 to April 2023. Patients were divided into survival (n = 173) and death (n = 24) groups based on whether death occurred. The primary outcome was death, and the secondary outcome was adverse hospitalization, including new postoperative arrhythmias, acute renal insufficiency, acute liver insufficiency, pleural effusion, length of ICU stay, mechanical ventilation length, and length of stay. The logistic regression model was used to analyze the relationship between DPR and in-hospital death, and the receiver operating characteristic curve (ROC) was drawn to analyze the predictive value of DPR for in-hospital death of ATAAD patients.

Results

Of the 197 patients included, 24 died, and the in-hospital mortality rate was 12.2%. There was a significant difference in diastolic blood pressure (P < 0.05). In terms of laboratory indexes, total bilirubin, direct bilirubin, indirect bilirubin, D-dimer, red blood cell volume distribution width, and DPR in the death group were higher than those in the survival group, with statistical significance (P < 0.05). Operation duration, hospital stay, ICU stay, mechanical ventilation time, and acute renal insufficiency in the death group were higher than those in the survival group (P < 0.05). Univariate analysis and multivariate analysis showed that DPR > 0.0305 ug/mL was an independent risk factor for death in ATAAD patients.

Conclusion

Increased DPR is independently associated with in-hospital death in patients with ATAAD.

D-dimer-to-platelet count ratio as a novel indicator for predicting prognosis in HBV-related decompensated cirrhosis

Background

Hepatitis B virus-related decompensated cirrhosis (HBV-DC) is a critical illness with a low survival rate. Timely identification of prognostic indicators is crucial for risk stratification and personalized management of patients. The present study aimed to investigate the potential of the D-dimer-to-platelet count ratio (DPR) as a prognostic indicator for HBV-DC.

Methods

A retrospective review of medical records was conducted for 164 patients diagnosed with HBV-DC. Baseline clinical and laboratory characteristics were extracted for analysis. The endpoint was 30-day mortality. Disease severity was assessed by the Model for End-stage Liver Disease (MELD) score. A multivariate logistic regression model and receiver operating characteristic curve analysis (ROC) were used to evaluate the predictive value of DPR for mortality.

Results

During the 30-day follow-up period, 30 (18.3%) patients died. Non-survivors exhibited significantly higher DPR values than survivors, and a high DPR had a strong association with increased mortality. Importantly, DPR was identified as an independent risk factor for mortality in HBV-DC patients after adjustments for confounding factors (Odds ratio = 1.017; 95% Confidence interval, 1.006-1.029; p = 0.003). The cut-off value of DPR as a predictor of mortality was>57.6 (sensitivity = 57%, specificity = 86%, p < 0.001). The area under ROC curve for DPR for 30-day mortality was 0.762, comparable to the MELD score (p = 0.100). Furthermore, the combined use of DPR and MELD score further increased the area under the ROC curve to 0.897.

Conclusion

Elevated DPR was demonstrated to have a correlation with unfavorable outcomes in HBV-DC patients, suggesting its potential utility as an effective biomarker for assessment of prognosis in these patients.

Diagnostic value of platelet to lymphocyte ratio in preeclampsia: a systematic review and meta-analysis

BACKGROUND

Using straightforward and accessible haematological parameters platelet/lymphocyte ratio (PLR) to diagnose preeclampsia (PE) early and precisely remains a challenge. Although several clinical studies suggested that PLR is able to diagnose PE, there has been no systematic evaluation of the diagnostic utility.

OBJECTIVES

To examine the diagnostic accuracy and potential applicability of PLR in the detection of PE.

STUDY DESIGN

Seven databases were searched using a combination of PLR and PE terms, and all potentially pertinent studies were systematically searched up to March 2023. All potentially relevant studies both prospective and retrospective were reviewed. To assess the diagnostic value of PLR for PE, pooled sensitivity (Sen), specificity (Spe), diagnostic odds ratio (DOR) and area under the summary receiver operating characteristic curve (SROC-AUC) were calculated.

RESULTS

Thirteen studies were enrolled in the meta-analysis. In the second and third trimesters, the PLR suggested a diagnostic value for PE with a pooled Sen of 54.7% [95% confidence interval (CI) (51.7, 57.6)], Spe of 77.8% [95% CI (75.5, 80.0)], + LR of 2.457 [95% CI (1.897, 3.182)], -LR of 0.584 [95% CI (0.491, 0.695)], DOR of 4.434 [95% CI (3.071, 6.402)], the SROC-AUC of 0.7296 and the standard error (SE) of 0.0370.

CONCLUSION

For the diagnosis of PE, PLR has a limited sensitivity but an acceptable specificity, and showed moderate accuracy. Further using complete blood count (CBC) indicators such as PLR alone or in combination to diagnose and predict PE could reduce healthcare costs and improve maternal and child prognosis.

D-DI/PLT can be a prognostic indicator for sepsis

Aims

To investigate the indicators affecting the early outcome of patients with sepsis and to explore its prognostic efficacy for sepsis.

Methods

We collected clinical data from 201 patients with sepsis admitted to the emergency department of Xijing Hospital between June 2019 and June 2022. The patients were categorized into groups (survival or fatality) based on their 28-day prognosis. The clinical characteristics, biochemical indexes, organ function-related indicators, and disease scores of the patients were analyzed for both groups. Risk factor analysis was conducted for the indicators with significant differences.

Results

Among the indicators with significant differences between the deceased and survival groups, D-dimer (D-DI), Sequential Organ Failure Assessment (SOFA) score, platelet (PLT), international normalized ratio (INR), and D-DI/PLT were identified as independent risk factors affecting the prognosis of sepsis patients. Receiver operating characteristic (ROC) curves showed that D-DI/PLT (area under the curve (AUC) = 93.9), D-DI (AUC = 89.6), PLT (AUC = 81.3), and SOFA (AUC = 78.4) had good judgment efficacy. Further, Kaplan Meier (K-M) survival analysis indicated that the 28-day survival rates of sepsis patients were significantly decreased when they had high levels of D-DI/PLT, D-DI, and SOFA as well as low PLTs. The hazard ratio (HR) of D-DI/PLT between the two groups was the largest (HR = 16.19).

Conclusions

D-DI/PLT may be an independent risk factor for poor prognosis in sepsis as well as a clinical predictor of patient prognosis.

A Prognostic Marker in COVID-19 Disease Severity and Mortality: D-Dimer/Platelet Ratio

INTRODUCTION

We aimed to examine the D-dimer/platelet ratio (DPR), which includes the combination of D-dimer and platelet measurements, which are two important markers in predicting prognosis, considering that it will show clinical progression.

METHODS

After ranking the patients from high to low according to DPR level, they were divided into three equal groups. Demographic, clinical, and laboratory parameters between groups were compared according to DPR level. The consistency of DPR with other coronavirus disease 2019 (COVID-19) biomarkers in the literature in terms of hospitalization and mortality in the intensive care unit was examined.

RESULTS

Complications such as renal failure, pulmonary thromboembolism (PTE), and stroke of the patients increased as the DPR increased. Patients in the third group with high DPR had higher oxygen demands from symptom onset, such as reservoir masks, high-flow oxygen, and mechanical ventilation. The first hospitalization location in the third group was determined as the intensive care unit. Mortality increased as the DPR value increased, and the time to death in patients in the third group was significantly shorter than the patients in the other two groups. While most of the patients in the first two groups recovered, 42% of the patients in the third group died. While the area under the curve was 80.6% in predicting DPR admission to the intensive care unit, the cut-off value was determined as 1.606. When the effect of DPR on predicting mortality was examined, the area under the curve for DPR was 82.6% and the cut-off value was determined as 2.284.

CONCLUSION

DPR is successful in predicting the severity, ICU admission, and mortality of COVID-19 patients.