Literature DB >> 35422655

The Mean Platelet Volume Combined with Procalcitonin as an Early Accessible Marker Helps to Predict the Severity of Necrotizing Enterocolitis in Preterm Infants.

Na Cai1, Wei Liao1, Zhiqiang Chen1, Min Tao1, Sheng Chen1.   

Abstract

Purpose: This study aims to evaluate the value of the mean platelet volume (MPV) combined with procalcitonin (PCT) in predicting the severity of necrotizing enterocolitis (NEC) in preterm infants.
Methods: This was a retrospective cohort study conducted in a neonatal intensive care unit from January 2014 to July 2020. Premature neonates with NEC were enrolled. In this study, mild-moderate NEC was defined as Bell's stage I and II, and severe NEC was defined as Bell's stage III. The demographic data, blood cell count analysis, C-reactive protein and PCT were compared between the severe and mild-moderate groups.
Results: A total of 18 premature infants with NEC in the severe group and 57 infants in the mild-moderate group were enrolled. The MPV and PCT were all significantly higher in the severe group than in the mild-moderate group (P < 0.01), and white blood cells were lower in the severe group (P < 0.05). The results of logistic regression suggested that the MPV (OR = 6.194, P = 0.000) and PCT (OR = 1.093, P = 0.006) were independent predictive factors for the severity of NEC. A receiver operating characteristic analysis showed that the areas under the curve (AUCs) were 0.829 for MPV alone, 0.706 for PCT alone, and 0.895 for MPV combined with PCT.
Conclusion: The combination of MPV with PCT had the highest overall AUC of the investigated parameters, and their combination can be considered an early marker for predicting the severity of NEC in preterm infants.
© 2022 Cai et al.

Entities:  

Keywords:  mean platelet volume; necrotizing enterocolitis; premature infants; procalcitonin

Year:  2022        PMID: 35422655      PMCID: PMC9004728          DOI: 10.2147/IJGM.S346665

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

Necrotizing enterocolitis (NEC) is considered to be the most common gastrointestinal emergency among neonates and mostly occurs in premature and low birth weight neonates. The morbidity of NEC is 2% to 5% in the neonatal intensive care unit (NICU),1,2 and it is one of the main causes of neonatal death.3–7 The mortality rate in extremely low birth weight (<1000 grams) infants is 30–50%, and for infants with a very low birth weight (VLBW) (<1500 grams), it is 10–30%.8 In cases of perforation or severe clinical deterioration on Medical treatment, resection of the affected bowel is often the treatment of choice.3 This group carries the highest mortality.9 Even surviving neonates often have short-term and long-term complications, such as intestinal stenosis, short bowel syndrome and neurological sequelae.2,10–12 These complications seriously affect quality of life. It is therefore essential to detect these severe cases early enough to reduce mortality and improve quality of life and outcomes. However, currently, the factors associated with the severity of NEC are not well defined, and research has shown that serum amyloid A (SAA), intestinal fatty acid binding protein (I-FABP), E-selectin, C5a, interleukin-6, fecal calprotectin (FC) and mitochondrial deoxyribonucleic acid (mtDNA) may be useful markers for predicting the severity of NEC.13–21 However, these testing methods have not been popularized in hospitals, especially in developing countries, and it also takes a long time to obtain results, so they are not suitable for clinical work. Furthermore, venous puncture is a delicate and unfavorable procedure in neonates and a primary cause of anemia among preterm infants. Therefore, it is highly desirable to discriminate neonates with severe NEC from those that can be treated conservatively by using methods that inflict minimal damage to neonates. To examine this, we identified premature infants with proven NEC in our hospital databases and sought statistical associations with the severity of NEC among commonly used clinical indicators, such as blood cell count analysis, C-reactive protein (CRP) and procalcitonin, which have the advantages of a short-duration assay and the use of a small sample volume.

Materials and Methods

Participants

Premature neonates with NEC diagnosed by a neonatal specialist at the First Hospital Affiliated with Army Medical University, China, between January 2014 and July 2020 according to the Bell staging criteria for necrotizing enterocolitis were enrolled.23 In this study, mild-moderate NEC was defined as Bell’s stage I and II, and severe NEC was defined as Bell’s stage III. None of the included cases used probiotics. The exclusion criteria were as follows: (1) gestational age ≥ 37 weeks; (2) neonates with amniotic fluid meconium contamination, asphyxia and spontaneous intestinal perforation; (3) age of onset < 3 days; (4) those with genetic metabolic diseases (neonates were screened for genetic metabolic diseases 3 days after birth) and congenital deformity; (5) the use of drugs that can cause changes in red blood cell morphology; and (6) cardiovascular diseases. This study was approved by the Ethics Committee of the First Hospital Affiliated with Army Medical University. All procedures were carried out according to the Declaration of Helsinki.

Data Collection

The data for all the study patients were obtained from the electronic medical records, including comorbidities during pregnancy, sex, gestational age, birth weight, age of onset, blood cell count analysis, C-reactive protein (CRP) and procalcitonin (PCT). Blood samples were collected within the first few hours after the onset of clinical manifestations of NEC (such as bloating, bloody stools, and vomiting). Laboratory parameters such as the white blood cell (WBC) count, platelet count (PLT), mean platelet volume (MPV), red blood cell distribution width (RDW), hemoglobin (Hb), CRP and PCT were measured.

Statistical Analysis

Categorical variables are expressed as proportions and were compared using the chi-square test and Fisher’s exact test. Continuous variables with a non normal distribution are presented as the median and interquartile range (IQR) percentiles, and variables with a normal distribution are presented as the mean value ± standard deviation. The differences in continuous variables were assessed for significance using t-tests or Mann–Whitney U-tests. Logistic regression analysis was applied to assess the independent risk factors for the severity of NEC. The receiver operating characteristic (ROC) method was conducted to evaluate the utility of different variables in predicting the severity of NEC. The areas under the ROC curve (AUCs) and optimal cut‐off points based on maximizing the sum of the sensitivity and specificity were calculated for each of the variables. The statistical analyses were performed with SPSS software (20.0). P < 0.05 was considered statistically significant.

Results

Baseline Characteristics

A total of 75 patients were included in the study. We analyzed the baseline data of infants with NEC, including their sex, gestational age, birth weight, age of onset, breastfeeding and perinatal situation. No significant differences were observed regarding these data between the severe group and the mild-moderate group (P > 0.05, Table 1).
Table 1

The Baseline Clinical Characteristics of the Severe, Mild-Moderate Groups

Severe (n = 18)Mild-Moderate (n = 57)P
Gender (male, n%)10 (55.56)32 (56.14)0.965
Gestational age (week)33.06 (30.25–36.14)33.69 (31.79–35.79)0.519
Birth weight (g)1736.11 ± 560.671887.37 ± 532.330.303
Age of onset (days)14.44 (4.75–21.25)13.58 (5.00–19.00)0.995
Breastfeeding (n%)10 (55.56)26 (45.61)0.462
Cesarean section (n%)13 (72.22)46 (80.70)0.513
PROM > 18 h (n%)1 (5.56)5 (8.77)1.000
Maternal hypertension (n%)2 (11.11)7 (12.28)1.000
Maternal diabetes (n%)4 (22.22)14 (24.56)1.000

Notes: The continuous variables of non-normal distribution were presented as mean (quartile ranges), and normal distribution were presented as the mean value ± standard deviation. Differences in continuous variables were assessed for significance using t-test or Mann-Whitney U-tests. Categorical variables were presented as absolute numbers and percentages, and were compared using Fisher’s Exact test. P < 0.05 was considered significant.

Abbreviation: PROM, premature rupture of membranes.

The Baseline Clinical Characteristics of the Severe, Mild-Moderate Groups Notes: The continuous variables of non-normal distribution were presented as mean (quartile ranges), and normal distribution were presented as the mean value ± standard deviation. Differences in continuous variables were assessed for significance using t-test or Mann-Whitney U-tests. Categorical variables were presented as absolute numbers and percentages, and were compared using Fisher’s Exact test. P < 0.05 was considered significant. Abbreviation: PROM, premature rupture of membranes.

Significant Differences in the MPV and PCT

Significant differences were observed in the WBC, MPV and PCT between the two groups (P < 0.05, Table 2). The MPV and PCT were significantly higher in severe group than mild-moderate group, but the WBC count was lower in the former. No significant differences in PLT, RDW, Hb and CRP were observed between the two groups (P > 0.05, Table 2).
Table 2

Comparison of Complete Blood Count Analysis, CRP and PCT Between the Two Groups

Severe (n = 18)Mild-Moderate (n = 57)P
WBC (×109/L)6.61 (4.26–9.16)9.01 (6.16–10.86)0.036
PLT (×109/L)213.61 (157.50–249.50)266.88 (171.00–345.00)0.077
MPV (fL)11.72 (11.15–12.33)10.78 (10.30–11.20)0.000
RDW (%)15.82 (14.63–16.68)15.27 (14.60–16.00)0.201
Hb (g/L)118.94 (87.75–151.25)134.81 (107.00–159.50)0.072
CRP (mg/L)36.12 (1.00–70.71)20.23 (1.00–29.40)0.219
PCT (ng/mL)12.89 (1.06–21.62)4.44 (0.38–3.27)0.009

Notes: Continuous variables of non-normal distribution were presented as mean (quartile ranges). The non-parametric Mann–Whitney U-test was applied to determine the group difference. P < 0.05 was considered significant.

Abbreviations: WBC, white blood cell; PLT, platelets; MPV, mean platelet volume; RDW, red blood cell distribution width; Hb, hemoglobin; CRP, C-reactive protein; PCT, procalcitonin.

Comparison of Complete Blood Count Analysis, CRP and PCT Between the Two Groups Notes: Continuous variables of non-normal distribution were presented as mean (quartile ranges). The non-parametric Mann–Whitney U-test was applied to determine the group difference. P < 0.05 was considered significant. Abbreviations: WBC, white blood cell; PLT, platelets; MPV, mean platelet volume; RDW, red blood cell distribution width; Hb, hemoglobin; CRP, C-reactive protein; PCT, procalcitonin.

MPV and PCT Were Independent Predictive Factors for the Severity of NEC

Logistic regression was used. The severity of NEC was taken as the dependent variable, and P <0.05 was used as the screening criterion. The above statistically significant indicators, including WBC, MPV and PCT, were used as independent variables to test whether each factor had a significant effect on the severity of NEC. The Hosmer–Lemeshow test showed that the regression model fit well (P = 0.962 > 0.05). The results suggested that the MPV (OR = 6.194, P = 0.000 <0.05) and PCT (OR = 1.093, P = 0.006 <0.05) were independent predictive factors for the severity of NEC in preterm infants (Table 3).
Table 3

Logistic Regression Analysis Results

bSE(b)WaldsPOR95% CI for OR
MPV1.8240.49413.6460.0006.194(2.354–16.300)
PCT0.0890.0327.7040.0061.093(1.026–1.163)

Abbreviations: MPV, mean platelet volume; PCT, procalcitonin.

Logistic Regression Analysis Results Abbreviations: MPV, mean platelet volume; PCT, procalcitonin. The AUC of MPV Combined with PCT Abbreviations: MPV, mean platelet volume; PCT, procalcitonin; AUC, area under the curve.

The High Predictive Value of the MPV Combined with PCT for the Severity of NEC in Preterm Infants

The receiver operating characteristic (ROC) analysis showed that the area under the curve (AUC) was 0.829 for MPV alone, 0.706 for PCT alone, and 0.895 for MPV combined with PCT, suggesting that MPV combined with PCT was better for predicting the severity of NEC in preterm infants (Table 4, Figure 1).
Table 4

The AUC of MPV Combined with PCT

AUCPCut-Off valueSensitivitySpecificityYouden Index
MPV (fL)0.8290.00011.150.780.740.52
PCT (ng/mL)0.7060.0098.090.560.880.43
MPV (fL) + PCT (ng/mL)0.8950.00010.80, 18.570.780.900.67

Abbreviations: MPV, mean platelet volume; PCT, procalcitonin; AUC, area under the curve.

Figure 1

The ROC curve of MPV combined with PCT for predicting the severity of NEC.

The ROC curve of MPV combined with PCT for predicting the severity of NEC.

Discussion

NEC is often very aggressive, which means that determining the severity of NEC in time and administering appropriate treatment is of utmost importance to researchers, physicians, parents and infants. In addition to clinical signs and symptoms, various biomarkers, including serum amyloid A, intestinal fatty acid binding protein, E-selectin, C5a, IL-6, fecal calprotectin and mitochondrial deoxyribonucleic acid (mtDNA), have been described to correlate with the severity of NEC.13–22 However, due to limited resources, these testing methods have not been popularized in the vast majority of hospitals. To date, there is a lack of effective indicators available to clinicians to predict the severity of NEC, and hence, physicians cannot make timely judgments, which may lead to delayed treatment. Therefore, our research focuses on searching for effective indicators that can predict the severity of NEC among commonly used clinical indicators. Complete blood count analysis, CRP and PCT are test items that are widely carried out in hospitals at all levels that have the advantages of a small blood demand, economical convenience and quick results. Our study found that compared to the mild-moderate group, the MPV and PCT were higher in the severe group. There were significant differences between the two groups, suggesting that a high MPV and PCT might be risk factors for severe NEC. Further logistic regression analysis indicated that MPV and PCT were independent predictors for the severity of NEC. Therefore, we speculate that MPV and PCT can represent relevant predictive markers for the severity of NEC in premature infants. To date, no studies have evaluated the significance of MPV and PCT in jointly predicting the severity of NEC. As such, our current study is unique in that it mainly focused on a predictive approach for the severity of NEC, which has the potential to change the current recommendation. Our results support the use of these easily available parameters for the prediction of the severity of NEC. The MPV describes the average size of platelets in a blood sample and is a simple, economical and useful diagnostic marker for children. Many studies have shown that elevated MPV during hospitalization is a predictor of mortality in critically ill adults.24,25 High MPV was suggested to be associated with overall survival in various diseases, such as cancer, cardiac disease, septic shock, and kidney injury.26–29 Go et al30 found that MPV ≥ 10.2 fl correlates with mortality among infants born at < 32 weeks of gestation. A possible explanation for the relationship between MPV and mortality is the inflammatory response.31,32 Currently, there are few studies on the relationship between MPV and NEC in neonates, especially preterm infants. Cekmez et al33 revealed that a high MPV in the first hours of life may reflect the presence of a risk factor for the development of NEC. Namachivayam et al34 found that moderate-severe intestinal injury was associated with increased MPV in a neonatal mouse NEC model. Our study found that MPV in the severe group was higher than that in the mild-moderate group, which was similar to the findings of Namachivayam. While precise pathophysiologic mechanisms remain elusive, a possible explanation is that in the case of premature delivery, infection and hypoxic ischemia, stimulate enhanced release of platelet activating factor, which can cause platelets to aggregate and form microthrombi, resulting in mesenteric artery ischemia and necrosis. Furthermore, a reduction in the number of platelets in the circulation promotes the feedback activation of megakaryocytes to produce a larger volume of platelets. A large volume of platelets contains more active substances, produces more thromboxane, releases dense particles and inflammatory factors, and is more likely to cause thrombosis. At the same time, it promotes the inflammatory reaction. The above process forms a vicious cycle, aggravating intestinal damage and ultimately triggering NEC. PCT is a protein that is synthesized during sepsis and inflammation. In these states, its production is stimulated by bacterial toxins and inflammatory mediators, such as tumor necrosis factor-α (TNF-α), IL-6 and IL-1β. It reaches a physiological peak from 24 h to 30 h after birth, and from the third day, the normal reference value is the same as that of adults (< 0.1 μg/L). Therefore, our research subjects were neonates aged more than three days. Routine determination of the PCT concentration is useful in the rapid detection and monitoring of bacterial and fungal infections with high sensitivity and specificity. Compared to other proinflammatory proteins, such as CRP, IL-6, and TNF-α, PCT is characterized by a rapid response time, especially compared with the classic acute phase protein CRP. PCT rises rapidly within 2–6 h and reaches a peak at 12–48 h after infection. Therefore, PCT can be used as a diagnostic standard for early infection. Likewise, the concentration of PCT is closely related to the severity of infection.35–37 In severely infected patients, PCT increased significantly. Conversely, when the infection was mild, PCT increased slightly. In addition, some studies have reported that compared to other commonly used indicators, PCT has higher value in predicting the severity of infection and organ involvement.36,38 Neonates with NEC are often accompanied by varying degrees of infection, and severe cases may even develop sepsis. Therefore, can PCT be used to predict the severity and prognosis of NEC? Unfortunately, there are few studies on the relationship between PCT and NEC. Only a few studies have revealed that PCT can be used for the diagnosis of NEC,39,40 but no research has focused on the use of PCT for the early prediction of the severity and prognosis of NEC in preterm infants. Our study found that in the early onset of NEC, PCT in the severe group was significantly higher than that in the mild-moderate group, suggesting that elevated PCT might be a risk factor for stage III NEC in preterm infants. We look forward to more studies exploring the relationship between PCT and the severity of NEC. By comparing the ROC curves of the MPV and PCT, the results showed that the AUCs were 0.829 for MPV alone, 0.706 for PCT alone, and 0.895 for MPV combined with PCT, which suggests that MPV (cutoff value: 10.8 fL) combined with PCT (cutoff value: 18.57 ng/mL) was better at predicting the severity of NEC in preterm infants.

Limitations

This study has some limitations. First, this study was retrospective, and that data were not available for all variables and were reliant on what was captured by the treating physician. Second, the incidence of NEC in preterm infants in our hospital was not as high as that reported in the literature, so the sample size of the severe group was small, definitively limiting the conclusions.

Conclusion

In conclusion, the combination of the MPV with PCT, which is easily accessible, fast, and affordable, can be considered an early marker for predicting the severity of NEC in preterm infants and represents a valuable tool to highlight the severity of NEC and thus to quickly start appropriate therapy.
  40 in total

1.  Necrotizing enterocolitis in term neonates: A different disease process?

Authors:  Richard Elliott Overman; Cory N Criss; Samir K Gadepalli
Journal:  J Pediatr Surg       Date:  2019-03-01       Impact factor: 2.545

2.  Platelet indices are novel predictors of hospital mortality in intensive care unit patients.

Authors:  Zhongheng Zhang; Xiao Xu; Hongying Ni; Hongsheng Deng
Journal:  J Crit Care       Date:  2014-05-09       Impact factor: 3.425

Review 3.  Pathogenesis of NEC: Impact of an altered intestinal microbiome.

Authors:  Josef Neu; Mohan Pammi
Journal:  Semin Perinatol       Date:  2016-12-13       Impact factor: 3.300

4.  Increased fecal calprotectin in preterm infants with necrotizing enterocolitis.

Authors:  Gokhan Aydemir; Ferhat Cekmez; I Asya Tanju; Fuat Emre Canpolat; F Alparslan Genc; Sukran Yildirim; Turan Tunc; S Umit Sarici
Journal:  Clin Lab       Date:  2012       Impact factor: 1.138

5.  C5a, a complement activation product, is a useful marker in predicting the severity of necrotizing enterocolitis.

Authors:  Cuneyt Tayman; Alparslan Tonbul; Hasan Kahveci; Sema Uysal; Burhan Koseoğlu; M Mansur Tatli; Ugur Dilmen
Journal:  Tohoku J Exp Med       Date:  2011-06       Impact factor: 1.848

6.  The prognostic role of platelet to lymphocyte ratio and mean platelet volume in critically ill patients.

Authors:  A Yildiz; A Yigit; A R Benli
Journal:  Eur Rev Med Pharmacol Sci       Date:  2018-04       Impact factor: 3.507

7.  Pre-treatment mean platelet volume associates with worse clinicopathologic features and prognosis of patients with invasive breast cancer.

Authors:  Meiling Gu; Zhenhua Zhai; Li Huang; Wenjiao Zheng; Yichao Zhou; Ruiqi Zhu; Feifei Shen; Caijun Yuan
Journal:  Breast Cancer       Date:  2015-08-26       Impact factor: 4.239

8.  Are platelet volume indices related to mortality in hospitalized children on mechanical ventilation?

Authors:  Sheng Ye; Yanyi Zhang; Chenmei Zhang; Dan Xu
Journal:  J Int Med Res       Date:  2018-01-11       Impact factor: 1.671

Review 9.  Recent advances in understanding necrotizing enterocolitis.

Authors:  Mashriq Alganabi; Carol Lee; Edoardo Bindi; Bo Li; Agostino Pierro
Journal:  F1000Res       Date:  2019-01-25

10.  Neurodevelopmental outcomes of extremely low birth weight infants with spontaneous intestinal perforation or surgical necrotizing enterocolitis.

Authors:  R Wadhawan; W Oh; S R Hintz; M L Blakely; A Das; E F Bell; S Saha; A R Laptook; S Shankaran; B J Stoll; M C Walsh; R D Higgins
Journal:  J Perinatol       Date:  2013-10-17       Impact factor: 2.521

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