# Bacteriological profiles, antimicrobial resistance patterns, and predictors of culture-confirmed neonatal Sepsis at Asella Teaching Hospital, Southeast Ethiopia

**Authors:** Mesfin Wubishet Gurmu, Samuel Manahle, Tesfa G/Meskel, Solomon Gelaye Yinges, Gebi Agero, Liyat Kebede

PMC · DOI: 10.1371/journal.pone.0345245 · PLOS One · 2026-03-25

## TL;DR

This study examines bacterial causes and antibiotic resistance in neonatal sepsis cases in Ethiopia, highlighting the need for updated treatment strategies.

## Contribution

The study provides localized data on neonatal sepsis pathogens and resistance patterns in Southeast Ethiopia, identifying key predictors and antibiotic efficacy.

## Key findings

- Culture-confirmed sepsis occurred in 62.8% of 392 neonates studied.
- Amikacin and carbapenems showed the highest effectiveness against multidrug-resistant pathogens.
- Preterm birth, tachypnea, and maternal chorioamnionitis were significant predictors of sepsis.

## Abstract

Neonatal sepsis remains a major cause of morbidity and mortality in low- and middle-income countries. Empirical antibiotic therapy is commonly initiated before culture results are available, in accordance with World Health Organization (WHO) recommendations; however, its effectiveness depends on local pathogen distribution and antimicrobial resistance patterns, which vary across healthcare settings. This study aimed to determine the bacteriological profile, antimicrobial susceptibility patterns, and predictors of culture-confirmed neonatal sepsis at Asella Teaching Hospital in Southeast Ethiopia.

A retrospective cross-sectional study was conducted among 392 neonates with clinically suspected sepsis who were admitted to the NICU between January 2021 and December 2023. Participants were selected using systematic random sampling from medical registry records. Blood cultures and bacterial identification were performed using standard microbiological procedures. Antimicrobial susceptibility testing was conducted using the Kirby–Bauer disk diffusion method in accordance with CLSI 2021 guidelines. Multivariable logistic regression analysis was used to identify independent predictors of culture-confirmed sepsis, with statistical significance set at p < 0.05.

Culture-confirmed sepsis was identified in 246 neonates (62.8%; 95% CI: 57.9–67.1), with early-onset sepsis accounting for 71.9% of cases. Gram-positive (50.8%) and Gram-negative (49.2%) organisms were nearly equally distributed. Among Gram-positive isolates, coagulase-negative staphylococci (35%) and Staphylococcus aureus (8.1%) were predominant, whereas Klebsiella pneumoniae (22.4%) and Acinetobacter spp. (8.5%) were the leading Gram-negative pathogens. Gram-positive isolates showed the highest susceptibility to vancomycin (91.9%), followed by trimethoprim–sulfamethoxazole (76.3%) and amikacin (72.9%), while high resistance was observed to ampicillin (91.9%) and ciprofloxacin (80.5%). Gram-negative isolates were most susceptible to amikacin (85.8%) and carbapenems (75.8%), but demonstrated substantial resistance to ampicillin (92.5%) and third-generation cephalosporins (65.8–93.3%). Multivariable logistic regression analysis identified several independent predictors of culture-confirmed neonatal sepsis, including preterm birth (AOR = 2.20; 95% CI: 1.07–4.98), tachypnea at admission (AOR = 4.79; 95% CI: 2.73–8.41), hypothermia (AOR = 2.35; 95% CI: 1.12–4.92), prolonged hospitalization (AOR = 2.51; 95% CI: 1.52–4.16), maternal chorioamnionitis (AOR = 4.49; 95% CI: 2.35–8.80), and a low fifth-minute Apgar score (AOR = 3.95; 95% CI: 1.87–8.34).

Culture-confirmed neonatal sepsis was highly prevalent, with a substantial burden of multidrug-resistant pathogens. Most bacterial isolates exhibited high resistance to commonly used first-line antibiotics, whereas amikacin and carbapenems remained relatively effective. The high prevalence of multidrug-resistant Gram-negative bacteremia is particularly concerning and underscores the need for routine antimicrobial resistance surveillance, locally guided empirical antibiotic therapy, strengthened infection prevention and control measures, and robust antimicrobial stewardship programs to reduce the emergence of antimicrobial resistance and improve neonatal outcomes in this setting.

## Linked entities

- **Chemicals:** vancomycin (PubChem CID 14969), trimethoprim–sulfamethoxazole (PubChem CID 358641), amikacin (PubChem CID 37768), ampicillin (PubChem CID 6249), ciprofloxacin (PubChem CID 2764), carbapenems (PubChem CID 134085)
- **Diseases:** neonatal sepsis (MONDO:0700217), chorioamnionitis (MONDO:0000409)
- **Species:** Staphylococcus aureus (taxon 1280), Klebsiella pneumoniae (taxon 573), Acinetobacter sp. P (taxon 596119)

## Full-text entities

- **Genes:** extended-spectrum beta-lactamase [NCBI Gene 13982007], urease [NCBI Gene 18609708]
- **Diseases:** tachypnea (MESH:D059246), hemolysis (MESH:D006461), rupture (MESH:D012421), chorioamnionitis (MESH:D002821), Urinary Tract Infections (MESH:D014552), CPS (MESH:D018805), Illness (MESH:D002908), GBS (MESH:D020275), fever (MESH:D005334), ARTH (MESH:D003428), infectious diseases (MESH:D003141), Hypothermia (MESH:D007035), jaundice (MESH:D007565), PROM (MESH:D005322), metabolic disturbances (MESH:D024821), MRSA (MESH:D013203), MDRO (MESH:D018088), inflammation (MESH:D007249), convulsions (MESH:D012640), vomiting (MESH:D014839), STI (MESH:D012749), congenital anomalies (MESH:D000013), CS (MESH:D006223), hypoglycemia (MESH:D007003), hyperemia (MESH:D006940), apnea (MESH:D001049), CoNS infections (MESH:D007239), IMNCI (MESH:D007232), EONS (MESH:D000071074), bacteremia (MESH:D016470), Preterm birth (MESH:D047928), CoNS (MESH:D064726), Birth Weight (MESH:D001724), lethargy (MESH:D053609), bacterial (MESH:D001424), deaths (MESH:D003643), ESBL (MESH:C579922), critically ill (MESH:D016638), CLSI (MESH:D007757), prolonged labor (MESH:D008133), respiratory distress (MESH:D012128), Klebsiella (MESH:D007710), SVD (MESH:C536677)
- **Chemicals:** ciprofloxacin (MESH:D002939), cephalosporins (MESH:D002511), Vancomycin (MESH:D014640), piperacillin-tazobactam (MESH:D000077725), imipenem (MESH:D015378), cloxacillin (MESH:D003023), gentamicin (MESH:D005839), cotrimoxazole (MESH:D015662), saline (MESH:D012965), citrate (MESH:D019343), clindamycin (MESH:D002981), amikacin (MESH:D000583), Methicillin (MESH:D008712), AST (-), meropenem (MESH:D000077731), benzylpenicillin (MESH:D010400), Ampicillin (MESH:D000667), cefoxitin (MESH:D002440), cefotaxime (MESH:D002439), ceftriaxone (MESH:D002443), ceftazidime (MESH:D002442), cefepime (MESH:D000077723), Carbapenem (MESH:D015780), agar (MESH:D000362), beta-lactam (MESH:D047090)
- **Species:** Pseudomonas aeruginosa (species) [taxon 287], Enterobacter (genus) [taxon 547], Acinetobacter baumannii (species) [taxon 470], Streptococcus sp. 'group B' (species) [taxon 1319], Streptococcus agalactiae (species) [taxon 1311], Escherichia coli (E. coli, species) [taxon 562], Klebsiella pneumoniae (species) [taxon 573], Staphylococcus aureus (species) [taxon 1280], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** ATCC 27853 — Homo sapiens (Human), Transformed cell line (CVCL_ZH96)

## Full text

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## References

78 references — full list in the complete paper: https://tomesphere.com/paper/PMC13016320/full.md

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Source: https://tomesphere.com/paper/PMC13016320