Clinical Value of Prognostic Nutritional Index in Prediction of the Presence and Severity of Neonatal Sepsis.

PURPOSE: The prognostic nutritional index (PNI) is a common indicator of nutritional and inflammatory status and is associated with various diseases such as cancer, cardiovascular diseases and infectious diseases. However, to date, no study has concentrated on the role of PNI in assessing and predicting the presence and severity of neonatal sepsis. Therefore, the present study aimed to explore the association of the PNI with the presence and severity of neonatal sepsis.
MATERIALS AND METHODS: A total of 1196 neonates with suspected sepsis were enrolled in this study and their complete clinical and laboratory data were collected. PNI was calculated as serum albumin (g/L) + 5 × total lymphocyte count (109/L). Multivariate logistic regression analysis was performed to identify the risk factors for the presence and severity of neonatal sepsis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive value of PNI. All statistical analyses were performed using the statistical package SPSS 24.0.
RESULTS: PNI was lower in neonates with sepsis and decreased significantly with the severity of sepsis. The correlation analysis demonstrated that the PNI was negatively correlated with the levels of the inflammatory marker procalcitonin (PCT) and C-reactive protein (CRP), and the length of hospital stay. Multivariate logistic regression analysis revealed that the PNI was independently and inversely associated with the presence and severity of neonatal sepsis. The area under the ROC curve of the PNI was 0.64 (95% confidence interval (CI): 0.61-0.67, P < 0.001) for severe sepsis and 0.69 (95% CI: 0.60-0.78, P < 0.001) for septic shock. In addition, our data revealed that PNI was also independently correlated with the length of hospital stay.
CONCLUSION: PNI is an independent predictor for the presence and severity of neonatal sepsis.

Introduction

Sepsis is a life-threatening condition caused by a dysregulated host response to infection and remains a major cause of morbidity and mortality worldwide.1–3 Neonates are more prone to infections than adults and tend to develop neonatal sepsis due to their immature immune system.4 Failure to diagnose and manage the bloodstream infection promptly can lead to septic shock, multiple organ failure and death.5 Therefore, a timely diagnosis of neonatal sepsis is very important. Currently, the gold standard for the diagnosis of neonatal sepsis is blood culture.6 However, several factors such as inadequate blood volume, antimicrobial exposure and blood contamination pose challenges in confirming the presence of neonatal sepsis.7 Moreover, the clinical presentation of condition is non-specific.8 Therefore, biomarkers circulating in the blood may be useful in the early diagnosis of neonatal sepsis.

Proper functioning of the body is ensured by adequate nutrition, and an optimal nutritional status aids in preventing infection. This signifies that malnutrition can impair the immune system.9,10 Sepsis leads to dysfunction of the gastrointestinal tract causing nutritional deficiency in the patient, which can subsequently prove life-threatening.11,12 Asiimwe et al13 reported that malnourished patients had a higher risk of developing severe sepsis at admission and that further led to death within 30 days of admission. Therefore, nutrition-related indicators may play an important role in identifying the presence of neonatal sepsis.

The prognostic nutritional index (PNI) is calculated based on the level of serum albumin (ALB) and peripheral lymphocyte count, which can reflect the nutritional and immune status of patients. Several studies have revealed that PNI is a reliable prognostic biomarker in patients with cancer.14–18 In addition, studies have demonstrated that PNI was a prognostic biomarker in patients with acute ischemic stroke19 and patients in the coronary care unit.20 Recently, Shimoyama et al21 revealed that PNI was a predictor of septic acute kidney injury (AKI), renal replacement therapy initiation in adult patient with sepsis, and prognosis in adult patients with septic AKI. As an objective nutritional marker, calculating PNI is easy based on the serum ALB concentration and lymphocyte count. Therefore, laboratory parameters that constitute PNI are routinely evaluated in most clinical settings making PNI a readily available biomarker.

To the best of our knowledge, there are no published studies evaluating the role of PNI to predict the presence and severity of neonatal sepsis. Therefore, our study aimed to evaluate the clinical value of PNI in predicting the presence and severity of neonatal sepsis.

Materials and Methods

Study Design and Population

This was a retrospective single-center study. A total of 1196 neonates with suspected sepsis admitted to the Henan Children’s Hospital (Zhengzhou, China) between January 2016 to December 2019 were enrolled in this study. Neonates with the following conditions were excluded: (1) aged >28 days, (2) presence of haematological system diseases, malignancies or major congenital malformations and (3) incomplete clinical and laboratory data at admission. The study protocol complied with the Declaration of Helsinki and was approved by the ethics review board of the hospital. All procedures performed in this study were undertaken as a part of routine clinical practice, and the data by which the subjects could identify were removed. Therefore, the requirement for informed consent was waived, considering the retrospective nature of the present study.

Clinical Evaluation and Definition

Neonatal sepsis is defined as suspected or confirmed infection accompanied with at least two of the systemic inflammatory response syndrome (SIRS) criteria, one of which must be abnormal body temperature or leukocyte count. The criteria for SIRS are as follows: (1) body temperature of > 38.5°C or < 36°C; (2) tachycardia; (3) mean respiratory rate > 2 standard deviations (SD) above normal for age or mechanical ventilation for an acute process that is not related to an underlying neuromuscular disease or the receipt of general anesthesia; (4) abnormal leukocyte count or >10% immature neutrophils. Severe sepsis was defined as sepsis along with any one of the following conditions: cardiovascular dysfunction, acute respiratory distress syndrome, or dysfunction of two or more other organs. Septic shock was defined as severe sepsis along with cardiovascular dysfunction. Infection was defined as a suspected or proven infection caused by any pathogen or clinical sign associated with a high probability of infection, including abnormal temperature or leukocyte count, cough, chest radiograph consistent with pneumonia, petechial or purpuric rash, or purpura fulminans.22 The diagnosis of clinical neonatal infection and sepsis was made by two study investigators [initials of the investigators here] as per the International Pediatric Sepsis Consensus.23 In addition, the severity of neonatal sepsis was assessed by using the neonatal sequential organ failure assessment (nSOFA) score that consisted respiratory, cardiovascular, and hematological criteria.24

Data Collection and Laboratory Measurements

Clinical and pathological data, such as age, sex, weight, body temperature, respiratory rate, heart rate and systolic and diastolic blood pressure, obtained during the first admission were collected from the medical records. Data of the laboratory indices, such as the procalcitonin (PCT), C-reactive protein (CRP), creatine kinase (CK), CK-MB, aspartate aminotransferase (AST), alanine aminotransferase (ALT), blood urea nitrogen (BUN), creatinine (CREA), uric acid (UA) and ALB levels of the neonates obtained immediately after admission were recorded. The detection methods of these laboratory indices are described in our previous studies.25,26 For our dataset, CRP levels <0.8 mg/L were assigned a value of 0.7 mg/L. PCT level >100 ng/mL or <0.02 ng/mL were assigned, 101 ng/mL and 0.01 ng/mL, respectively.

Statistical Analysis

Variables are presented as mean ± standard deviation (SD), median (interquartile range) or number (percentage), as applicable. The independent t-test or one-way analysis of variance (ANOVA) test was performed for continuous variables, and the Chi-square test was performed for categorical variables for comparison between the groups. Pearson or Spearman correlation test was performed to determine the relationship between the PNI and its clinical parameters. Multivariate logistic regression analysis was performed to determine the association of the PNI with the presence and severity of neonatal sepsis. Variables with a P-value <0.05 in the univariate logistic regression analysis were included in the multivariate logistic regression analysis. All data analyses were performed using the software of IBM SPSS 22.0 software (SPSS Inc., Chicago, Illinois, USA). A two-sided P value ≤ 0.05 was considered statistically significant.

Results

Patient Characteristics

A total of 1196 neonates with suspected sepsis were enrolled in this study (median age 9.0 [5.0, 15.0] days), including 709 boys (59.3%) and 487 girls (40.7%). The demographic and laboratory findings are presented in Table 1. Of the total 1196 neonates, 755 neonates were finally clinically diagnosed with sepsis and the remaining 441 neonates were diagnosed with signs of infection that further served as the control group. Compared with the neonates in the control group, neonates with sepsis were older, and had a higher body temperature, respiratory rate, and heart rate. Biochemical analysis revealed that the levels of PCT, CRP, BUN, UA, CK, CK-MB, CREA and ALB were lower, and the lymphocyte count was higher in neonates with sepsis (P < 0.05). Meanwhile, neonates with sepsis also had higher PNI and nSOFA scores, and a longer length of hospital stay (P < 0.001).

Table 1

Comparison of the Baseline Characteristics According to the Presence and Severity of Sepsis

Variables	Controls (n = 441)	Sepsis (n = 755)	*P	Sepsis			#P
				Mild Sepsis (n = 335)	Severe Sepsis (n = 379)	Septic Shock (n = 41)
Age (days)	7.0 (4.0, 12.0)	10.0 (5.0, 17.0)	< 0.001	11.0 (5.0, 18.0)	10.0 (5.0, 15.0)	14.0 (6.5, 20.5)	< 0.001
Male, n (%)	249 (56.5%)	460 (60.9%)	0.129	203 (60.6%)	226 (59.6%)	31 (75.6%)	0.101
Weight (kg)	3.28 ± 0.52	3.22 ± 0.64	0.102	3.33 ± 0.56	3.08 ± 0.67	3.51 ± 0.68	0.130
Temperature (°C)	36.97 ± 0.46	37.36 ± 0.76	< 0.001	37.37 ± 0.72	37.31 ± 0.78	37.80 ± 0.80	0.001
Respiratory(rate/minute)	46.38 ± 7.79	50.02 ± 10.90	< 0.001	49.73 ± 10.07	50.06 ± 11.54	51.95 ± 11.29	0.001
Heart rate (bpm)	142.01 ± 15.60	149.79 ± 19.13	< 0.001	147.78 ± 18.78	150.31 ± 18.73	161.41 ± 21.46	0.001
PCT (ng/mL)	0.14 (0.09, 0.25)	0.32 (0.14, 1.52)	< 0.001	0.22 (0.11, 0.80)	0.42 (0.16, 2.41)	0.57 (0.25, 2.46)	< 0.001
CRP (mg/L)	0.7 (0.7, 0.7)	0.7 (0.7, 15.2)	< 0.001	0.7 (0.7, 9.7)	0.7 (0.7, 17.5)	0.7 (0.7, 32.2)	< 0.001
CK (μM)	149.1 (94.6, 248.6)	109.0 (62.9, 219.9)	< 0.001	113.5 (65.0, 217.0)	101.5 (62.9, 228.5)	99.9 (61.3, 221.5)	< 0.001
CK-MB	35.5 (27.1, 46.8)	32.8 (22.0, 47.7)	0.003	33.3 (22.7, 43.2)	33.4 (22.3, 52.2)	25.2 (17.4, 40.1)	0.001
AST (U/L)	37.7 (30.0, 50.9)	38.3 (27.9, 54.5)	0.743	37.3 (28.2, 49.3)	38.7 (27.7, 60.0)	46.3 (28.3, 70.1)	0.126
BUN (mM)	2.3 (1.5, 3.3)	3.1 (1.9, 4.4)	< 0.001	2.0 (1.9, 4.0)	3.3 (1.9, 4.9)	3.0 (2.5, 5.3)	< 0.001
CREA (μM)	50.6 (41.8, 59.5)	46.8 (36.2, 62.8)	0.020	44.0 (35.0, 55.6)	50.8 (38.2, 69.5)	43.6 (36.4, 59.4)	< 0.001
UA (μM)	138.0 (103.6, 180.7)	149.1 (107.6, 206.6)	0.06	146.3 (105.9, 191.7)	152.9 (105.4, 226.1)	157.2 (118.4, 209.5)	0.013
ALB (g/L)	33.72 ± 4.14	30.55± 4.92	< 0.001	31.53± 4.77	29.85± 4.92	29.12 ± 4.82	0.001
Lymphocyte (10 9cells/L)	3.99 (3.03, 5.28)	3.32 (2.08, 4.72)	< 0.001	3.44 (2.34, 4.57)	3.35 (1.92, 4.94)	2.31 (1.70, 4.16)	< 0.001
PNI	54.00 (47.08, 61.78)	47.30 (39.55, 55.65)	< 0.001	48.60 (41.95, 55.75)	46.40 (38.60, 55.85)	41.80 (35.55, 49.77)	< 0.001
nSOFA	0.0 (0.0, 0.0)	0.0 (0.0, 2.0)	< 0.001	0.0 (0.0, 0.0)	1.0 (0.0, 2.0)	2.0 (2.0, 2.5)	< 0.001
Length of hospitalstay (days)	9.0 (7.0, 11.0)	14.0 (10.0, 22.0)	< 0.001	12.0 (9.0, 18.0)	15.0 (11.0, 23.0)	20.0 (13.0, 25.0)	< 0.001

Notes: All values are presented as the mean ± SD or n (%) or as the median (interquartile range). *P value among the infection and sepsis groups. #P value among the control, common sepsis, severe sepsis, and septic shock group.

Abbreviations: PCT, procalcitonin; CRP, C-reactive protein; CK, creatine kinase; CK-MB, creatine kinase-MB; AST, aspartate aminotransferase; BUN, blood urea nitrogen; CREA, creatinine; UA, uric acid; ALB, albumin; PNI, prognostic nutritional index; nSOFA, neonatal sequential organ failure assessment.

Based on the severity of sepsis, the neonates with sepsis were further categorised as having mild, severe or septic shock. Of the total 755 neonates with sepsis, 335 had mild sepsis, 379 had severe sepsis and 41 had septic shock. The respiratory rate, heart rate, nSOFA score, the length of hospital stay and the levels of PCT, CRP and UA increased with the severity of sepsis (Table 1). Additionally, our results revealed that the lymphocyte count, ALB level and the PNI decreased gradually in the mild sepsis, severe sepsis and septic shock groups (P < 0.001).

Association of PNI with the Presence and Severity of Neonatal Sepsis

Neonates were classified into three groups based on the PNI tertiles as follows: low PNI (< 44.90), intermediate PNI (44.90–55.10) and high PNI (>55.10). As shown in Table 2, neonates with low PNI had higher PCT and CRP levels and nSOFA scores and longer lengths of hospital stay compared to other groups. The prevalence of neonatal sepsis decreased significantly from 79.3% in the low PNI group to 50.7% in the high PNI group (P < 0.001), whereas the controls were more likely to be in the intermediate PNI and high PNI groups. Further analysis also revealed that the prevalence of severe sepsis and septic shock was significantly higher in the low PNI group than that in the intermediate- and high-PNI groups (P < 0.05).

Table 2

Clinical and Demographic Characteristics Based on the PNI Tertiles

Variables	Low PNI (< 44.90) (n = 400)	Intermediate PNI (44.90–55.10) (n = 396)	High PNI (> 55.10) (n = 400)	P
Age (days)	6.0 (4.0, 14.0)	8.0 (4.0, 14.0)	11.0 (7.0, 17.0)	<0.001
Male, n (%)	267 (66.8%)	228 (57.6%)	214 (53.5%)	<0.001
PCT (ng/mL)	0.45 (0.19, 2.62)	0.20 (0.11, 0.58)	0.13 (0.09, 0.26)	<0.001
CRP (mg/L)	0.7 (0.7, 18.8)	0.7 (0.7, 2.10)	0.7 (0.7, 0.7)	<0.001
nSOFA	0.0 (0.0, 2.0)	0.0 (0.0, 0.0)	0.0 (0.0, 0.0)	<0.001
Length of hospital stay	13.5 (10.0, 22.0)	11.0 (8.0, 15.0)	10.0 (8.0, 15.0)	<0.001
Clinical data
Control, n (%)	83 (20.8%)	161 (40.7%)	197 (49.3%)	<0.001
Sepsis, n (%)	317 (79.3%)	235 (59.3%)	203 (50.7%)	<0.001
Mild sepsis, n (%)	117 (29.3%)	238 (32.1%)	91 (22.8%)	0.011
Severe sepsis, n (%)	175 (46.1%)	100 (25.3%)	104 (26.0%)	<0.001
Septic shock, n (%)	25 (6.3%)	8 (2.0%)	8 (2.0%)	0.001

Abbreviations: PCT, procalcitonin; CRP, C-reactive protein; CK, creatine kinase; CK-MB, creatine kinase-MB; AST, aspartate aminotransferase; BUN, blood urea nitrogen; CREA, creatinine; UA, uric acid; ALB, albumin; PNI, prognostic nutritional index; nSOFA, neonatal sequential organ failure assessment.

Correlation Between PNI and Clinical Parameters

In general, PNI was correlated positively with the age (r = 0.201, P < 0.001) and weight (r = 0.172, P < 0.001), and negatively correlated with body temperature (r = −0.058, P = 0.044), respiratory rate (r = −0.117, P < 0.001), PCT (r = −0.425, P < 0.001), CRP (r = −0.248, P < 0.001), CK (r = −0.086, P = 0.003), BUN (r = −0.059, P = 0.042), CREA (r = −0.145, P < 0.001), nSOFA score (r = −0.294, P < 0.001), and the length of hospital stay (r = −0.213, P < 0.001) (Table 3). There was no significance between the PNI and heart rate, CK-MB, AST, and UA levels.

Table 3

Correlations Between the PNI and Clinical Parameters

Variables	r	P
Age (day)	0.201	< 0.001
Temperature (°C)	−0.058	0.044
Heart rate (bpm)	−0.039	0.175
Respiratory (rate/minute)	−0.117	< 0.001
Weight (kg)	0.172	< 0.001
PCT (ng/mL)	−0.425	< 0.001
CRP (mg/L)	−0.248	< 0.001
CK (U/L)	−0.086	0.003
CK-MB (U/L)	0.048	0.094
AST (U/L)	0.004	0.884
BUN (mM)	−0.059	0.042
CREA (μM)	−0.145	< 0.001
UA (μM)	−0.034	0.233
nSOFA	−0.294	< 0.001
Length of hospital stay (days)	−0.213	< 0.001

Abbreviations: PCT, procalcitonin; CRP, C-reactive protein; CK, creatine kinase; CK-MB, creatine kinase-MB; AST, aspartate aminotransferase; BUN, blood urea nitrogen; CREA, creatinine; UA, uric acid; ALB, albumin; PNI, prognostic nutritional index; nSOFA, neonatal sequential organ failure assessment.

Ability of the PNI to Predict the Presence and Severity of Neonatal Sepsis

Univariate and multivariable binary logistic regression analyses were performed to evaluate the ability of PNI to predict the presence and severity of neonatal sepsis. Variables, including age, body temperature, heart rate, respiratory rate, the levels of PCT, CRP, AST, ALT, UREA and UA and PNI, with P < 0.05 in the univariate analysis were included in the multivariate analysis. As shown in Table 4, after adjusting the above variables, PNI proved to be an independent risk factor for the presence of sepsis (OR = 0.967, 95% confidence interval [CI]: 0.955–0.979, P < 0.001), severe sepsis (OR = 0.988, 95% CI: 0.997–0.999, P < 0.001) and septic shock (OR = 0.952, 95% CI: 0.920–0.985, P < 0.001). Further analysis revealed that the PNI tertiles were also independently associated with the presence of sepsis, severe sepsis and septic shock.

Table 4

Relative Risks of PNI for the Presence and Severity of Neonatal Sepsis

Variables	Univariate		Multivariate
	OR (95% CI)	P	OR (95% CI)	P
Presence of overall sepsis
PNI	0.962 (0.952–0.972)	< 0.001	0.967 (0.955–0.979)	< 0.001
PNI tertiles
Tertile 1	1		1
Tertile 2	0.382 (0.279–0.523)	< 0.001	0.429 (0.299–0.615)	< 0.001
Tertile 3	0.270 (0.198–0.368)	< 0.001	0.295 (0.204–0.425)	< 0.001
Presence of severe sepsis
PNI	0.977 (0.967–0.988)	< 0.001	0.988 (0.977–0.999)	0.031
PNI tertiles
Tertile 1	1		1
Tertile 2	0.434 (0.322–0.587)	< 0.001	0.524 (0.380–0.722)	< 0.001
Tertile 3	0.452 (0.335–0.609)	< 0.001	0.570 (0.410–0.791)	0.001
Presence of septic shock
PNI	0.945 (0.916–0.974)	< 0.001	0.952 (0.920–0.985)	0.005
PNI tertiles
Tertile 1	1		1
Tertile 2	0.309 (0.138–0.694)	0.004	0.387 (0.166–0.904)	0.028
Tertile 3	0.306 (0.136–0.687)	0.004	0.384 (0.159–0.927)	0.033

Abbreviations: PCT, procalcitonin; CRP, C-reactive protein; CK, creatine kinase; CK-MB, creatine kinase-MB; AST, aspartate aminotransferase; BUN, blood urea nitrogen; CREA, creatinine; UA, uric acid; ALB, albumin; PNI, prognostic nutritional index; nSOFA, neonatal sequential organ failure assessment.

Diagnostic Value of PNI in Neonatal Sepsis

The ROC curve analysis was performed to calculate the diagnostic value of the PNI in neonatal sepsis. Based on the analysis, the optimal cut-off value of the PNI to predict the presence of neonatal sepsis was 50.63, with 66% sensitivity and 61% specificity (AUC = 0.66, 95% CI: 0.63–0.70, P < 0.001) (Figure 1A). The optimal cut-off value of the PNI to predict severe sepsis and septic shock was 43.6, with a sensitivity of 79% and specificity of 56% (AUC = 0.63, 95% CI: 0.59–0.66, P < 0.001) (Figure 1B). We separately evaluated the ability of the PNI to predict septic shock. As shown in Figure 1C, the AUC was 0.68 (95% CI: 0.58–0.77), with a sensitivity and specificity of 70% and 61%, respectively, at a cut-off value of 44.2.

Figure 1

ROC curve of PNI in predicting the presence and severity of neonatal sepsis. (A) The ROC curve for PNI in predicting the presence of sepsis; (B) The ROC curve for PNI in predicting severe sepsis and septic shock; (C) The ROC curve for PNI in predicting septic shock.

Discussion

Sepsis is a SIRS caused by infection and is commonly accompanied by multiple organ dysfunction.27 In comparison with adults, neonates are more susceptible to infections than older children, which can lead to the development of neonatal sepsis, severe sepsis, and septic shock in the future.28 Data published in previous studies reveal that neonatal sepsis remains the third leading cause of neonatal death and is one of the leading causes of death among children under 5 years of age, which has become a public health problem.29–31 Neonatal sepsis can present with subtle signs but can rapidly progress to multisystem organ failure and meningitis.32 Therefore, the rapid identification of neonatal sepsis is the key to successful treatment.

From a pathophysiology perspective, sepsis has often been considered as a state of systemic and hypermetabolic inflammation, wherein inflammatory cells play an important role by secreting multiple pro-inflammatory cytokines, such as interleukin (IL)-1, IL-6, tumour necrosis factor-alpha (TNF-α) and neutrophil extracellular traps (NETs).33–35 Those cytokines disrupt the balance between the pro-inflammatory and anti-inflammatory responses. Studies have revealed that the biomarkers of infection and inflammation play an important role in predicting the presence of sepsis.26,36,37 The total and differential leukocyte counts are the less expensive and widely utilised indicators of the inflammatory response. Among leukocytes, neutrophils and lymphocytes are the two most abundant cells in peripheral blood. Commonly, an infection can activate neutrophils for the secretion of pro-inflammatory cytokines and cause damage to the organ; whereas lymphocytes can secrete anti-inflammatory cytokines (such as IL-10 and TGF-β) to inhibit the inflammatory response.38–40 In adult patients with sepsis, the balance between the neutrophils and lymphocytes is disrupted, resulting in an elevated neutrophil count and decreased lymphocyte count.41–44 Several clinical studies have revealed that the neutrophil and lymphocyte counts are a reliable inflammatory marker and prognostic indices for sepsis.25,43

In addition to the immune abnormalities, sepsis is commonly accompanied by metabolic and endocrine abnormalities that lead to life-threatening organ dysfunction.27 Sepsis can easily lead to dysfunction of the gastrointestinal tract and liver, resulting in the dysfunction of synthesis and metabolism, thereby affecting the nutritional status of patients.11,12,45 Nutritional status plays an important role in the maintenance of health and the prevention of infection.46 Inadequate nutrition predisposes acutely ill individuals with compromised immune systems to the development of sepsis.47 Serum ALB level is the simplest and most effective parameter that reflects the nutritional status of the body. ALB is one of the proteins produced by the liver that plays an important role in the maintaining the colloid osmotic pressure, preventing fluid from leaking out of blood vessels; nourishing the tissues and transporting hormones, vitamins, drugs, and calcium throughout the body.48,49 In addition, studies have also revealed that there is a close correlation between ALB and inflammation, wherein lower serum ALB levels were associated with more severe inflammation in adult patients.50–54 In neonates with sepsis, Yang et al55 reported that hypoalbuminemia occurred frequently and that lower ALB levels might be associated with a poorer prognosis.

PNI is calculated based on the serum ALB level and the total number of peripheral blood lymphocytes and is widely used as a marker of both nutritional status and inflammation. In addition, PNI has been widely used to assess the immunonutritional status of patients with cancer and is a useful prognostic marker in adult patients with various malignancies, such as colorectal cancer,18 non-small cell lung cancer,17 liver cancer,56 oesophageal carcinoma15,57 and osteosarcoma.16 In recent years, PNI has attracted significant attention for its convenience and significance in clinical applicability. Studies have reported that PNI is clinically significant in adult patients with other diseases, such as coronavirus disease 2019 (COVID-19),58,59 cardiovascular disease,60,61 and Crohn’s disease62,63 and sepsis. However, to date, no studies have concentrated on the role of the PNI in assessing and predicting the presence and severity of neonatal sepsis so far.

In the present study, we evaluated the clinical value of PNI in predicting the presence and severity of neonatal sepsis in a relatively large population for the first time. Our results revealed that PNI was lower in neonates with sepsis and showed a gradual decrease with the severity of neonatal sepsis. In addition, there was a significant negative correlation between PNI and the markers of infection and inflammation (PCT and CRP). Multivariate regression analysis revealed that PNI was an independent risk factor for the the presence and severity of neonatal sepsis. ROC curve analysis demonstrated that PNI has a favourable discriminatory ability in predicting sepsis and septic shock.

However, there are several limitations to our study as follows: 1) The diagnosis of neonatal sepsis was based on clinical signs and not positive blood culture, which could be associated with underestimation or overestimation of the true prevalence of the condition; 2) we could not obtain the data on the type of feeding and daily intake of protein before the neonates were admitted to the hospital, which may later PNI; 3) this was a retrospective single-center study and multicenter clinical studies are required to confirm our results; 4) PNI was only calculated at admission. Continuous monitoring of PNI and the severity of neonatal sepsis might provide more significant insights.

Conclusions

Our study revealed that PNI was negatively and independently associated with the presence and severity of neonatal sepsis. These findings highlighted the potential clinical value of PNI as a convenient and significant biomarker for clinical application to predict the presence and severity of neonatal sepsis.