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Research Article

External validation of the clinical score system for early detection of late–onset neonatal sepsis

[version 1; peer review: awaiting peer review]
PUBLISHED 22 Jul 2025
Author details Author details
OPEN PEER REVIEW
REVIEWER STATUS AWAITING PEER REVIEW

Abstract

Objectives

Late-onset neonatal sepsis (LONS) is the leading cause of neonatal mortality. Blood culture as the gold standard has a low sensitivity and is time-consuming. To overcome this concern, Husada D. et al. (2020) have developed a clinical score system to help diagnose LONS. Therefore, we conduct this study to externally validate the clinical score system as a predictor of LONS.

Methods

This was a validation study with cross-sectional design conducted at Dr. Soetomo Academic General Hospital in Surabaya, Indonesia, from November 1, 2021, to April 31, 2022. The study included all eligible neonates aged more than 7 days who were suspected of suffering LONS in the NICU. Subjects were assessed using Husada D. et al.’s (2020) score system. Neonates with positive blood culture were confirmed sepsis. The validation study calculated sensitivity, specificity, positive predictive value, and negative predictive value.

Results

Out of 90 subjects included in this study, 28 (31.1%) had a positive blood culture, with gram-positives predominant (19/28, 67.9%). The mean birth weight was 1976.22 ± 791.87 grams, with a mean gestational age of 34.23 ± 3.50 weeks. The area under the curve was 98.8% (p-value<0.001; 96.9-100.0), which means neonates with LONS will have a higher prediction score. The sensitivity of this tool was 100%, and the specificity was 96.8%. The positive predictive value was 93.3%, while the negative predictive value was 100%.

Conclusion

This clinical score system is a valid tool that can be used in bedside scoring for early detection of LONS.

Keywords

clinical score system, Dr. Soetomo Academic General Hospital, external validation, Indonesia, late-onset neonatal sepsis.

Highlights

  • Husada D. et al.’s scoring system is a valid tool for early detection of LONS.

  • Neonates with LONS have a higher prediction score.

  • In LONS, most of the pathogenic bacteria were gram-positive.

1. Introduction

Neonatal sepsis is the main cause of newborn death worldwide and one of the main factors contributing to the high neonatal mortality rate.1 The clinical signs and symptoms of neonatal sepsis are non-specific, and the differential diagnosis is vast.2 Many diagnostic biomarkers have been studied, but none are of sufficient quality to be applied in daily clinical practice.3 A clinical scoring system approach makes it possible for clinicians, especially in resource-limited settings, to make diagnoses other than microbiological culture.4 Husada D. et al. developed a very practical late-onset neonatal sepsis score system using six parameters that was published in 2020, based on the data from Queen Sirikit National Institute of Child Health in Bangkok. This scoring system has never been validated externally.

The number of neonatal sepsis cases worldwide is estimated to be around three million per year.5 According to the World Health Organization (WHO), neonatal sepsis caused approximately 430,000 neonatal deaths in 2013, accounting for an estimated 15% of all neonatal deaths worldwide.6 Meanwhile, Nyma Z. et al. (2020) reported that neonatal sepsis is currently responsible for approximately 1.6 million neonatal deaths worldwide, with developing countries accounting for 99% of cases (an incidence rate of 38 per 1000 live births).7 Blood culture has a 60% false-negative rate; hence, it cannot be utilized as a sole diagnostic tool. In contrast, Wirschafter DD. et al. (2011) discovered that the ratio of antibiotics given to positive cultures was 14:1, leading to an overuse of antibiotics.8

There are two types of neonatal sepsis based on the age of presentation: early-onset and late-onset neonatal sepsis.2 The age limit to differentiate between early-onset and late-onset neonatal sepsis ranges from 3 to 7 days.2,914 Some literature uses 7 days as the limit.2,14,15 Early-onset neonatal sepsis occurs before 7 days of age, while LONS occurs after 7 days of age.2 LONS is typically caused by organisms inferred after delivery and is categorized as a nosocomial community-acquired infection.2,11,13,15,16 LONS often presents with more subtle symptoms, such as feeding intolerance, vomiting, diarrhoea, abdominal distention, ABD (apnea, bradycardia, desaturation) spells, and hypoglycaemia. Focal infections such as omphalitis, meningitis, or osteomyelitis may precede or accompany LONS.2 The most common pathogens causing LONS are Pseudomonas, Serratia, Escherichia coli, and Staphylococcus aureus.2,13,15

Neonates are very susceptible to infection due to their immature immune system, and they become even more vulnerable at a smaller gestational age due to a lack of maternal antibody transfer in the last trimester.17 The diagnosis of neonatal sepsis is difficult because the clinical presentations are non-specific. In addition, specific laboratory tests for sepsis markers are still not available in all health facilities. The clinical score system is a method used to assess the likelihood of neonatal sepsis based on clinical indicators.4 The application of a clinical score system based on clinical presentations was shown to reduce excessive laboratory examination and antibiotic administration.13 Husada D. et al. (2020) have published a scoring system with six clinical parameters. This clinical score system is simple and practical for a clinician to use in making medical decisions. However, external validation of this scoring system has not been carried out. This prompted the idea for this study, which aimed to validate the score system as a diagnostic tool for LONS.

2. Methods

2.1 Study overview

This was an observational cross-sectional study conducted at the NICU of Dr. Soetomo Academic General Hospital in Surabaya, Indonesia, from November 2021 to April 2022. This hospital is the largest and top referral hospital in eastern Indonesia. It is acknowledged by the WHO as a baby-friendly hospital and boasts a staff of 59 paediatricians. The NICU at this hospital has 36 beds and accommodates 859 neonates annually.

2.2 Population and samples

2.2.1 Inclusion criteria

All neonates older than seven days with suspicions of late-onset neonatal sepsis were included in this study. Neonates presented with temperature instability, lethargy, irritability, poor peripheral perfusion, pallor, petechiae, rashes, sclerema, jaundice, feeding intolerance, vomiting, diarrhoea, abdominal distention with or without visible bowel loops, tachypnea, respiratory distress (grunting, flaring, and retractions), new onset of apnea, bradycardia, and desaturation episodes (ABD [apnea, bradycardia, desaturation] spells), tachycardia, or hypotension were suspected of having LONS.2

2.2.2 Exclusion criteria

Neonates with major congenital malformations (hydrocephalus, atresia, and anencephaly), neonates who died less than 24 hours after the onset of clinical symptoms of sepsis, surgical procedures prior to the diagnosis of sepsis, and culture results of viral or fungal infections were excluded from this study.

2.2.3 Definitions

Late-onset neonatal sepsis: blood culture–proven infection occurring in the newborn after 7 days of age caused by a postnatal acquisition (nosocomial or community sources).2

Neonate: a newborn or an infant within its first 28 days.

Neonatal sepsis: a clinical syndrome of systemic illness accompanied by bacteremia that occurs in the first month of life.2

2.2.4 Sample size determination

The sample size for this study was calculated using Buderer’s formula.18 The prevalence of neonatal sepsis was derived from a study conducted in Philippines, which had a prevalence of 50%.16 With an estimated sensitivity of 97% and an estimation error of 0.05. The alpha (α) was set at 0.05. This study’s final sample size was 90 neonates.

2.2.5 Sampling techniques

Total sampling was used as the sampling technique. We included all neonates admitted to our NICU between November 1, 2021, and April 31, 2022 who met the inclusion and exclusion criteria, as we could meet the sample size previously estimated for this study.

2.3 Data collection and management

All neonates who met the eligibility criteria were set as this research’s subjects. A physical examination, routine blood tests, blood gas analysis, and blood culture examination were performed on those neonates. The patient’s clinical and laboratory data were then inputted into Husada D. et al.’s sepsis score. The following patient characteristics were collected over a six-month period: gender, birth weight, gestational age, Lubchenco curve, mode of delivery, congenital malformations, admission type, length of hospital stay before sepsis, age at examination, and type of medical device used. The data was then transferred to the Statistical Package for the Social Sciences (SPSS) database.

2.4 Data analysis

Husada D. et al.’s (2020) clinical scoring system assesses six clinical parameters in neonates suspected of having sepsis, including poor feeding, abnormal pulse (outside the range of 100-180 beats/minute), abnormal body temperature (outside the range of 36-37.9oC), abnormal oxygen saturation (< 92%), abnormal leukocytes based on Manroe’s criteria by age,19 and abnormal pH (outside the pH range 7.27-7.45), as seen in Table 1. This scoring system is divided into four categories in clinical practice: (1) low probability (score 0-2=0-20%), (2) medium probability (score 3-4=21-75%), (3) high probability (score 5-6 = 76-95%), and (4) very high probability (score 7-14 = 96-100%). The recommendation of this scoring system is to give antibiotics to the high and very high probability groups but not to the low probability group. Meanwhile, in the medium probability group, antibiotic administration is determined by the attending clinician based on each patient’s condition.

Table 1. Husada D. et al.’s (2020) clinical scoring system.

Variables Score
Poor feedingYes = 2
No = 0
Abnormal heart rate (Normal range 100–180 x/minute)Yes = 3
No = 0
Abnormal temperature (Normal range 36–37.9 °C)Yes = 4
No = 0
Abnormal oxygen saturation (< 92%)Yes = 1
No = 0
Abnormal leucocytes ➔ Normal range:
< 7 days of age: 9000–30,000/cmm
7–14 days of age: 5000–21,000/cmm
> 14 days of age: 5000–20,000/cmm
Yes = 2
No = 0
Abnormal pH (Normal range: 7.27–7.45)Yes = 2
No = 0

Descriptive analysis was performed to obtain the characteristics of the study’s population and assessment results based on the clinical scoring system and culture results by describing the distribution and frequency of each variable. The trend of the relationship between assessment results with the clinical scoring system and culture results was explained with cross-tabulation. The chi-square test was carried out on categorical data to assess differences in variables based on the culture results, while the independent sample t-test and Mann-Whitney U test were used on continuous data.

The validation study was conducted by calculating the sensitivity, specificity, positive predictive value, and negative predictive value with the cross-tabulation test. The area under the curve (AUC) is obtained by calculating the strength of the diagnostic value using the receiver operating characteristic (ROC) curve. The optimal cut-off point between the sensitivity and specificity curves is calculated to obtain the recommended values. The level of significance (α) was set at 5%. SPSS Version 23 (SPSS Inc., Chicago, IL) was used to aid with data analysis.

2.5 Ethical clearance

The Health Research Ethics Committee of Dr. Soetomo Academic General Hospital issued the ethical approval (0313/KEPK/XI/2021). Written informed consent for this study was obtained from the patient’s parents (because the patients were neonates) following an explanation of the research processes.

3. Results

3.1 Subject enrolment

During the research period, 370 neonates were treated at the NICU of Dr. Soetomo Academic General Hospital. There were 31.9% (118/370) neonates suspected of having late-onset neonatal sepsis. Twenty-eight of the 118 neonates suspected of having sepsis were excluded from this study, namely 19 neonates with major congenital malformations and 9 neonates who had surgery prior to the diagnosis of sepsis, leaving 90 neonates who met both the inclusion and exclusion criteria ( Figure 1).

67fb462c-b38d-4368-a2c6-bfe79c07ab0e_figure1.gif

Figure 1. Enrolment of subjects.

3.2 Patient characteristics

This study’s population was predominantly low-birth-weight neonates (<2500 grams, 67/90, 74.4%). The average birth weight was 1976.22 ± 791.87 grams, with the culture-positive group having a lower average birth weight (1827.14 ± 798.63 grams) than the culture-negative group (2043.55 ± 785.98 grams). Premature neonates (<37 weeks) were predominant (65/90, 72.2%). The average gestational age was 34.23 ± 3.50 weeks, with the average gestational age in the culture-positive group nearly matching that of the culture-negative group, namely 34.25 ± 3.66 grams and 34.23 ± 3.50 grams. Table 2 shows the characteristics of the studied neonates. Both positive- and negative-culture groups showed comparable data (p-value > 0.05), except for the type of vascular access and ventilation support ( Table 3).

Table 2. Baseline characteristics of the study population.

VariablesFrequencyCulture result
(n = 90)Positive Negative
Gender
 Male, n (%)47 (52.2)14 (29.8)33 (70.2)
 Female, n (%)43 (47.8)14 (32.6)29 (67.4)
Gestational age
 < 28 weeks, n (%)2 (2.2)0 (0.0)2 (100.0)
 28-31 weeks, n (%)17 (18.9)6 (35.3)11 (64.7)
 32-33 weeks, n (%)18 (20.0)6 (33.3)12 (66.7)
 34-36 weeks, n (%)28 (31.1)9 (32.1)19 (67.9)
 ≥ 37 weeks, n (%)25 (27.8)7 (28.0)18 (72.0)
Birth weight
 < 800 grams, n (%)1 (1.1)1 (100.0)0 (0.0)
 801-1000 grams, n (%)7 (7.8)4 (57.1)3 (42.9)
 1001-1500 grams, n (%)24 (26.7)8 (33.3)16 (66.7)
 1501 – 2499 grams, n (%)35 (38.9)8 (22.9)27 (77.1)
 2500 – 3999 grams, n (%)21 (23.3)7 (33.3)14 (66.7)
 ≥ 4000 grams, n (%)2 (2.2)0 (0.0)2 (100.0)
 CVC, n (%)10 (11.1)4 (40.0)6 (60.0)
Mode of delivery
 Spontaneous, n (%)15 (16.7)3 (20.0)12 (80.0)
 Caesarean section, n (%)75 (83.3)25 (33.3)50 (66.7)
Age at examination
 8-14 days, n (%)70 (77.8)19 (27.1)51 (72.9)
 15-30 days, n (%)20 (22.2)9 (45.0)11 (55.0)
Total length of hospital stays
 < 7 days, n (%)23 (25.6)5 (21.7)18 (78.3)
 7-14 days, n (%)55 (61.1)16 (29.1)39 (70.9)
 15-30 days, n (%)12 (13.3)7 (58.3)5 (41.7)
Congenital malformations
 Yes, n (%)29 (32.2)9 (31.0)20 (69.0)
 No, n (%)61 (67.8)19 (31.1)42 (68.9)
Vascular access
 Peripheral, n (%)34 (37.8)5 (14.7)29 (85.3)
 Umbilical, n (%)31 (34.4)10 (32.3)21 (67.7)
 PICC, n (%)15 (16.7)9 (60.0)6 (40.0)
Respiratory support device
 Room air, n (%)10 (11.1)2 (20.0)8 (80.0)
 Nasal, n (%)20 (22.2)3 (15.0)17 (85.0)
 CPAP, n (%)33 (36.7)10 (30.3)23 (69.7)
 Ventilator, n (%)27 (30.0)13 (48.1)14 (51.9)

Table 3. Comparison between positive- and negative-culture groups.

VariablesPositive-culture result (n = 28)Negative-culture result (n = 62) p value
Gender
 Male, n (%)14 (29.8)33 (70.2)0.956
 Female, n (%)14 (32.6)29 (67.4)
Gestational age
 Preterm, n (%)19 (30.2)44 (69.8)0.836
 Term, n (%)9 (33.3)18 (66.7)
Lubchenco curve
 SGA, n (%)20 (26.7)55 (73.3)0.065
 AGA, n (%)8 (53.3)7 (46.7)
Birth weight
 < 2500 grams, n (%)21 (31.3)46 (68.7)1.000
 ≥ 2500 grams, n (%)7 (30.4)16 (69.6)
Mode of delivery
 Spontaneous, n (%)3 (20.0)12 (80.0)0.375
 Caesarean section, n (%)25 (33.3)50 (66.7)
Admission type
 Inborn, n (%)17 (30.9)38 (69.1)1.000
 Outborn, n (%)11 (31.4)24 (68.6)
Age at examination
 8-14 days, n (%)19 (27.1)51 (72.9)0.212
 15-30 days, n (%)9 (45.0)11 (55.0)
Total length of hospital stays
 < 7 days, n (%)5 (20.8)19 (79.2)0.311
 ≥ 7 days, n (%)23 (34.8)43 (65.2)
Vascular access
 Peripheral vascular access, n (%)5 (14.7)29 (85.3)0.017*
 Central vascular access, n (%)23 (41.1)33 (58.9)
Respiratory support device
 Invasive ventilation, n (%)13 (48.1)14 (51.9)0.042*
 Non-invasive ventilation, n (%)15 (23.8)48 (76.2)

* Statistically significant at p < 0.05.

3.3 The microbial pattern

Gram-positive bacteria were predominant in this study (19/28, 67.9%). Staphylococcus spp. is the most prevalent type of bacteria (18/28, 64.3%) from the gram-positive group, with Staphylococcus epidermidis and Staphylococcus haemolyticus being the main species. Meanwhile, the majority of gram-negative bacteria were Klebsiella spp. (4/28, 14.3%), followed by Acinetobacter baumannii ( Table 4).

Table 4. Pathogen distribution in late-onset neonatal sepsis at Dr. Soetomo Academic General Hospital.

Pathogen Frequency (n = 28)
Gram-positive bacteria
Coagulase-negative staphylococci 1
Staphylococcus epidermidis 6
Staphylococcus capitis 1
Staphylococcus hominis 4
Staphylococcus haemolyticus 6
Streptococcus dysgalactiae 1
Gram-negative bacteria
Klebsiella aerogenes 1
Klebsiella pneumoniae 2
Klebsiella oxytoca 1
Acinetobacter baumannii 2
Burkholderia cepacia complex 1
Serratia plymuthica 1
Pseudomonas stutzeri 1

3.4 Validity results

The six parameters of the Husada D. et al. (2020) score are used to assess neonates suspected of having sepsis. The majority of the participants in this study, 66.7% (60/90), had a sepsis score <5, while the remaining 33.3% had a score ≥5. Table 5 revealed that neonates with low and medium scores had culture-negative results. Contrary to this, neonates with high and very high scores had culture-positive results. The results showed that this scoring system had a very good sensitivity value of 100.0% (87.6-100%), very good specificity of 96.8% (88.8-99.6%), PPV 93.3% (78.1-98.2%), NPV 100.0%, LR+ 31.0 (7.9-121.1), and LR– 0.0 with accuracy of 97.8% (92.2-99.7%).

Table 5. Distribution of score criteria based on blood culture results.

Score criteria Frequency (n = 90)Positive-culture result (n = 28)Negative-culture result (n = 62) p value
Low (0-2), n (%)30 (33.3)0 (0.0)30 (48.4)< 0.001*
Medium (3-4), n (%)30 (33.3)0 (0.0)30 (48.4)
High (5-6), n (%)9 (10.0)8 (28.6)1 (1.6)
Very high (7-14), n (%)21 (23.4)20 (71.4)1 (1.6)

* Statistically significant at p < 0.05.

The ROC curve demonstrates that Husada D. et al.’s (2020) late-onset neonatal sepsis score has a good diagnostic value because the curve is far from the 50% line and approaches 100%. The AUC in this study was 98.8% (95% CI: 96.9-100.0, p-value < 0.001), as shown in Figure 2. The AUC value of 98.8% is statistically classified as very strong.

67fb462c-b38d-4368-a2c6-bfe79c07ab0e_figure2.gif

Figure 2. ROC curve of Husada D. et al.’s sepsis score.

4. Discussion

During the study period, 31.1% (28/90) sepsis neonates were found in the suspected-sepsis population. There are more males than females. According to a study conducted in Lahore by Sheikh AM. et al. (2010), male neonates are more likely to have neonatal sepsis. This could be due to sex-related factors in host vulnerability to infection.12 Jaya IGA. et al. (2019) stated that the X chromosome has genes that influence the function of the thymus gland and the synthesis of immunoglobulins. Males are more susceptible to infection since they have only one X chromosome as opposed to two in females.20 Xiao T. et al. (2017) revealed that the incidence of sepsis was higher in male neonates, particularly 52.1% neonates (100/192, p-value 0.930).21

In this study, the culture-positive group had a lower average birth weight (1827.14 ± 798.63 grams) than the culture-negative group (2043.55 ± 785.98 grams). Verstraete EH. et al. (2015) found that very-low-birth-weight was not a significant predictor (p-value 0.205) despite being related to nosocomial bloodstream infections.22 Belachew A. and Tewabe T. (2020) reported that neonates with a birth weight less than 2.5 kg are 1.42 times more likely to have sepsis than neonates with a birth weight greater than 2.5 kg.23

Raguindin PFN. et al. conducted a validation study on the Okascharoen score in 2014.16,24 The Okascharoen score predicts late-onset neonatal sepsis infection based on three clinical parameters (hypotension, abnormal temperature, and poor breathing) and three laboratory parameters (neutrophil bandemia > 1%, thrombocytopenia < 150000, and use of an umbilical catheter).24 The validation study was performed on neonates aged 2 to 90 days in the NICU of Philippine General Hospital. According to the study, 50% (59/119) of the research subjects experienced sepsis. Males predominate in the culture-negative group. The average birth weight in the culture-negative group was lower than in the culture-positive group (1624 ± 942 grams vs. 1905 ± 887 grams). The gestational age in the two groups was relatively close, namely 33.93 ± 3.9 weeks in the culture-negative group and 34.08 ± 3.8 weeks in the culture-positive group.16 The results of the study reported by Raguindin PFN. et al. (2014) are comparable to those of this study in that LONS was not significantly correlated with gender, gestational age, or birth weight.

This study found 28 positive-culture results, with the majority of late-onset neonatal sepsis pathogens being gram-positive (19/28, 67.9%), and the remainder being gram-negative (32.1%). According to NICHD Neonatal Research Network data, gram-positive bacteria cause around 79% of LONS, while gram-negative bacteria account for 18%.15,17 Staphylococcus spp. is the most prevalent type of bacteria (67.86%) in the gram-positive group, which is dominated by Staphylococcus epidermidis and Staphylococcus haemolyticus. Staphylococcus epidermidis is the most common pathogen detected in hospital-acquired infections, followed by Staphylococcus aureus, Staphylococcus capitis, Staphylococcus haemolyticus and Staphylococcus homini.25 Coagulase-negative staphylococci are the most abundant gram-positive bacteria (68%).15 Staphyloccus epidermidis is a common colonizer of human skin and mucous membranes that seldom causes infection in healthy tissue. However, it can attach and reproduce on the plastic surface of medical devices, forming a biofilm that is resistant to antibiotics and the immune system.26

Clinical score system have various performance in different settings and should be validated locally before being used routinely. A clinician must consider the diagnostic accuracy of a clinical score system while utilizing it to avoid improper or unnecessary antibiotic therapy, which may increase the development of antimicrobial resistance, gastrointestinal imbalance, and adverse clinical consequences. Numerous clinical score systems are available as screening tests for hospital-acquired infections in neonates. Lloyd LG. et al. (2022) discovered eleven clinical score systems in a literature review.11

Blood culture, as the imperfect gold standard, acts as the strength as well as the limitation of this study. A negative blood culture cannot rule out the diagnosis of neonatal sepsis if clinical and other examinations are supportive.27 The ideal gold standard always conveys positive results to all subjects with disease and negative results to all subjects without disease.28 Even though blood culture yields positive results in only 41.4% of sepsis cases, it remains the best tool for diagnosing neonatal sepsis as it serves as a strong reliance for the sepsis group.10 Furthermore, blood cultures were only conducted on one side in this study. The recommendation for blood sampling should be at two different locations. Pathogens are more likely to be detected when two specimens are collected. As central venous catheters are currently often utilized in level III NICUs, it is favourable to obtain blood cultures simultaneously in peripheral and central vascular catheters for more accurate results.9

5. Conclusion

Husada D. et al.’s (2020) sepsis score is valid as a predictor of late-onset neonatal sepsis at Dr. Soetomo Academic General Hospital. Husada D. et al.’s sepsis score can be useful in the diagnosis of LONS. Further research on Husada D. et al.’s sepsis score with five parameters (without blood pH) is needed to develop a clinical score system of LONS in limited facilities.

Ethical statement

Ethical approval statement

The study proposal was approved by the Health Research Ethics Committee of Dr. Soetomo Academic General Hospital (0313/KEPK/XI/2021) from November 24th, 2021 to November 24th, 2022.

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Harahap A, Miranda S, Husada D et al. External validation of the clinical score system for early detection of late–onset neonatal sepsis [version 1; peer review: awaiting peer review]. F1000Research 2025, 14:720 (https://doi.org/10.12688/f1000research.165386.1)
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