Abstract
Background
Neonatal sepsis is the most common cause of mortality and morbidity. It is a major global public health challenge, particularly in developing countries. Therefore, knowing the current status of bacterial isolates and their antimicrobial resistance profile is essential to physicians and health workers to implement appropriate intervention. The aims of this study was to assess a ten-year trend of bacterial prevalence isolates from blood culture among neonates (<1 month of age).
Method
A hospital-based retrospective study was conducted on 1854 neonatal patients who were admitted at University of Gondar Specialized Comprehensive Hospital between 2010 and 2020. Sociodemographical and laboratory data were collected from medical records. Quality of the data was assured through standard operational procedures. Data were entered and analysed using SPSS version 20. Bivariate analysis was employed to determine strings of association between the outcome variable and sociodemographic variables. A P value less than 0.05 will be considered to be statically significant.
Results
In a total of 1854 patients, 538 (29%) were culture positive. The overall neonatal sepsis infection rate was 287 (53.5%) for male and 249 (46.5%) for female. The highest proportion of neonatal sepsis infection rate was observed among the patients in the age range between 3 and 28 days and gestational at birth <37 weeks, 461(86%) and 278 (52%), respectively. Gestational at birth (P ≤ 0.001, AOR = 5.81, CI: 4.63–7.29) is significantly associated with bacterial isolates. The predominant pathogens were Staphylococcus aureus, 18 (76.6%), Klebsiella pneumoniae, 146 (38%), and E. coli, 45 (11.7%) among the age range less than one weak. Klebsiella spp, S. aureus, and E. coli showed a high level of resistance to most tested antimicrobials. Amikacin, ciprofloxacin and norfloxacin, and erythromycin were the most effective antibiotics whereas ampicillin, amoxicillin, and cotrimoxazole were the least effective antibiotics for isolates.
Conclusion
Neonatal sepsis infection is common in the 3–28 days of age range. S. aureus, E. coli, and K. pneumonia were the most common isolates. Most the bacterial pathogens were resistant to commonly prescribed antibiotics. Therefore, an antimicrobial sensitivity test for bacterial isolates is recommended to provide updated data for the physician in choosing the appropriate antibiotic for better patient treatment outcome.
1. Background
Neonatal sepsis is defined as a systemic infection with bacteria, virus, and fungi with/without signs and symptoms of infection during the first 28 days of life. Sepsis can be categorizing as early onset (prior 72 hr in the life of the neonate) and late onset if the diagnosis was carried out after this deadline. Usually, early-onset neonatal sepsis is associated with perinatal background and late-onset neonatal sepsis is mainly related to the medical and surgical invasive procedures required by neonates who already have the disease. Early-onset sepsis remains a common and serious problem for neonates, especially preterm infants [1,2].
Neonatal sepsis is one of the major public health challenges. Based on different studies of different concerns, 41% (3.6 million) of all deaths in children under 5 years of age is due to bacterial infection. The majority of these deaths occur in low-income countries. Furthermore, neonatal mortality for different African countries ranges from 68 per 1000 live births in Liberia to 11 per 1000 live births in South Africa [3–5].
Existing published data have suggested that neonates are at the highest risk for bacterial sepsis, with the prevalence at 1 to 10 per 1000 live births worldwide [5]. The main bacterial pathogens of neonatal sepsis are L. monocytogenes, Streptococcus, E. faecalis, E. faecium, group D streptococci, α-hemolytic streptococci and staphylococci, S. pneumoniae, and H. influenzae type B, which are recognized as the principal cause of early neonatal sepsis. Among Gram-negative enteric organisms, predominantly, E. coli, Klebsiella species, and N. meningitides and N. gonorrhea have been also reported as a cause of neonatal septicemia [6, 7]. Bacteria such as staphylococci species and E.coli are predominantly caused late-onset sepsis [7]. Based on the current study, the prevalence of neonatal sepsis is increased during recent years, and it may be due to the development of resistant organisms [5]. Drug resistance of pathogens is a major problem in causing neonatal sepsis, especially in developing countries because of poor sanitary conditions, over-the-counter sale of antibiotics, and lack of legislation [5, 7]. Especially, MDR Gram-negative organisms, methicillin-resistant S. aureus (MRSA), and extended-spectrum beta-lactamase- (ESBL-) producing bacteria represent the principal setbacks to fight against infections. Most Gram-negative bacteria are now resistant to ampicillin and cloxacillin, and many are becoming resistant to gentamicin [7, 8]. The prevalence of bacterial organisms causing neonatal sepsis is constantly increasing, especially in developing and low-income countries, and the emergence of resistant bacteria has complicated the problem further. Therefore, this study aimed to assess ten-year trend of bacterial pathogens and their antimicrobial susceptibility pattern in neonatal patients with sepsis.
2. Materials and Methods
2.1. Study Design, Period, and Area
The study was conducted at University of Gondar Specialized Comprehensive Referral Hospital. It is found in the historical town of Gondar located 750 km far from the northwest of Addis Ababa, the capital city of Ethiopia, and in the North Gondar Zone of the Amhara National Regional State which is a metropolitan city in the Amhara National Regional State in Ethiopia. The hospital was purposely selected because that it is one of the biggest referral hospitals in the region. Currently, it provides services to more than five million people in Gondar town and the surrounding area. The hospital has an inpatient and outpatient department and laboratory service with more than 500 beds that provides health services such as surgery, internal medicine, pathology, TB/HIV, dermatology, antenatal care, delivery, postnatal care, laboratory, pharmacy, maternal and neonatal care, and other services for the population of Gondar town and surrounding areas [9].
2.2. Study Design, Period, and Data Collection
A retrospective cross-sectional study to assess the prevalence and antimicrobial resistance profile of neonatal septicemia was conducted from 2010 to 2020 at University of Gondar Specialized Comprehensive Referral Hospital, Gondar. Data records of 1854 neonatal patients were collected and reviewed using a checklist from medical microbiology laboratory registration logbooks. Sociodemographical data, laboratory test results, and hospitalization status were collected using a data extraction checklist.
2.3. Laboratory Methods
2.3.1. Sample Collection and Processing
Two bottles of venous blood samples (1 ml for each bottle) from two different sites of the peripheral vein were collected aseptically by experienced nurses before any antibiotic use. The collected blood sample was inoculated into a Trypton soya broth blood culture medium pair of bottles (Becton, Dickinson, USA) under strict aseptic procedures [10]. All culture bottles were incubated aerobically at 37°C for seven days for the presence of visible microbial growth. Positive culture bottles were subcultured; subcultures were made during successive days on enriched and selective media including blood agar plate (Oxoid LTD), chocolate agar plate (incubated at 5% CO2 atmosphere), MacConkey (Oxoid Ltd., Basingstoke, Hampshire, UK), and mannitol salt agar plates and examined for growth after 24–48 h of incubation. All positive blood cultures were identified using their cultural characteristics, appearance on their respective media, and Gram staining reaction. Bacterial isolates were confirmed by the pattern of standard biochemical reactions. Gram-negative bacteria were identified by an oxidase test, indole production, citrate utilization, motility, urease, oxidase, gas production, hydrogen sulfide production, carbohydrate fermentation, and lysine decarboxylases production tests [11]. Identification of Gram-positive bacteria isolates: coagulase, catalase test and mannitol salt agar, bacitracin (0.04 or 0.05 UI), and optochin (5 μg) susceptibility tests were conducted. Interpretation was made as sensitive if the zone diameter was at least 10 mm and resistant if the zone of diameter was less than 10 mm. Blood culture broth which shows no microbial growth within 7 days was reported as culture negative, only after results were subcultured on blood agar, Mac Conkey, and chocolate agar [11].
2.3.2. Antimicrobial Susceptibility Tests
An antimicrobial susceptibility test was carried out for each identified bacterial isolates by using the disc diffusion method on Muller Hinton agar for nonfastidious organisms and Muller Hinton agar with 5% defibrinated sterile sheep blood for fastidious organisms [12]. Three to five pure colonies were emulsifies in 2 ml of nutrient broth. The bacterial suspensions' turbidity was matched and checked with 0.5 McFarland standards. Then, a sterile cotton swab was dipped into the suspension and squeezed free from excess fluid against the side of test tube. The test organisms were uniformly seeded on the surface of Muller Hinton agar and exposed to a concentration gradient of antibiotic diffusing from the antibiotic-impregnated paper disc into the agar medium, and the medium was incubated at 35°C for 18–24 h [13]. The following antimicrobial disks were used (Oxoid UK): amoxicillin-clavulanate (AMC:20/10 μg), penicillin (P:10 unit), trimethoprim-sulfamethoxazole (SXT:1.25/23.75 μg), erythromycin (E:15 μg), tetracycline (TE:30 μg), clindamycin (DA:2 μg), chloramphenicol (CAF:30 μg), ampicillin (AMP:10 μg), gentamicin (CN:10 μg), amikacin (AK:30 μg), ciprofloxacin (CIP: 5 μg), ceftazidime (CAZ: 30 μg), ceftriaxone (CRO:30 μg), and cefoxitin (CXT:30 μg). Grades of susceptibility pattern were interpreted by comparison of the zone of inhibition according to the Clinical and Laboratory Standard Institute 2014 guideline [12].
2.3.3. Quality Control
All media were prepared according to the manufacturer's instruction and following the standard operational procedure. Culture media were checked for sterility by incubating 5% batch of the media at 37oc for 24 hours, and performance of all prepared media was also checked by inoculating international standard-strains such as E.coli (ATCC 25922) for Gram-negative bacteria, S. aureus (ATCC 25923) for Gram-positive bacteria, and N. Gonorrhoeae (ATCC49226) for fastidious bacteria. To standardize the density of the inoculum of bacterial suspension for the susceptibility test, 0.5 McFarland standards were used.
2.3.4. Data Management and Statistical Analysis
Data were entered and analysed by using SPSS version 20 software. The characteristics of the study population were summarized using frequencies, percentages, median, and standard deviation. Text descriptions, tables, and figures were used to describe or present the findings of the study. A chi-square test was used to compare the proportion of bacterial isolates with patients' age and year. A P value of <0.05 was considered statistically significant.
3. Results
3.1. Demographic Characteristics of Study Participants
Within the ten years, 1854 neonatal patients' data were collected and analysed at University of Gondar Specialized Comprehensive Referral Hospital. The majority, 995(53.7%), of the study participants were males. Out of the total, 1531(82.6%) of the study participants were 3–28 days old. The majority, 1425(76.9%), of neonates come from the NICU ward; of them, 27.8% were culture positive. The majority of bacterial isolates were observed between 2017 and 2019 (Table 1).
Table 1.
Frequency of study participants by age groups, gender, year, and wards at University of Gondar Comprehensive Specialized Hospital, Gondar, Northwest Ethiopia, 2021.
| Characteristics | Frequency | Percentage | |
|---|---|---|---|
| Sociodemographical | |||
| Sex | Male | 995 | 53.7 |
| Female | 859 | 47.3 | |
| Age group | 0–3 days | 323 | 17.4 |
| 3–28 days | 1531 | 82.6 | |
| Gestational age at birth | Preterm (<37 weeks) | 488 | 26.3 |
| Term (>37 weeks) | 1366 | 73.7 | |
| Admitted wards | NICU | 1425 | 76.9 |
| N-wards | 283 | 15.3 | |
| Pediatrics | 61 | 3.3 | |
| Others | 85 | 4.6 | |
|
| |||
| Year of data collection | |||
| 2010 | Male | 2 | 0.1 |
| Female | 1 | 0.1 | |
| 2011 | Male | 1 | 0.1 |
| Female | 3 | 0.2 | |
| 2012 | Male | 69 | 3.7 |
| Female | 78 | 4.2 | |
| 2013 | Male | 50 | 2.7 |
| Female | 66 | 3.6 | |
| 2014 | Male | 39 | 2.1 |
| Female | 40 | 2.2 | |
| 2015 | Male | 28 | 1.5 |
| Female | 30 | 1.6 | |
| 2016 | Male | 30 | 1.6 |
| Female | 28 | 1.5 | |
| 2017 | Male | 106 | 5.7 |
| Female | 73 | 3.9 | |
| 2018 | Male | 401 | 21.6 |
| Female | 313 | 16.9 | |
| 2019 | Male | 269 | 14.5 |
| Female | 227 | 12.2 | |
NICU: neonatal intensive care unit; others: emergency, gynecology, oncology, and medical wards.
3.2. Prevalence of Neonatal Septicemia and Risk Factor
From the total 1854 blood samples analysed, 536/1854 (28.9%) were blood culture positive. Among the total numbers of bacterial isolates, 154 (28.7%) were Gram-positive isolates; of them, S. aureus were (76.6%) with the highest value followed by Streptococcus viridians (11%). Out of the total number of bacterial isolates, 384(71.3%) were Gram-negative bacteria. Among the predominant Gram-negative bacteria isolates, 146(38%) were K. pneumoniae followed by K. ozaenae, 47(12.2%), and Enterobacter species, 22(5.2%) (Table 2).
Table 2.
Percentage and frequency of bacterial isolates among neonates having sepsis at University of Gondar Comprehensive Specialized Referral Hospital, Gondar, Northwest Ethiopia, 2021.
| Bacterial isolates | Frequency | Percentage |
|---|---|---|
| Gram positive (n = 154) | ||
| S. aureus | 118 | 76.6 |
| S. viridans | 17 | 11 |
| Enterococcus spp. | 4 | 2.6 |
| S. pyogenes | 3 | 1.94 |
| CoNs | 12 | 7.8 |
|
| ||
| Gram negative (n = 384) | ||
| Enterobacter spp. | 22 | 5.7 |
| K. pneumoniae | 146 | 38 |
| K. rhinoscleromatis | 12 | 3.1 |
| Pseudomonas spp. | 2 | 18.8 |
| E. coli | 45 | 11.7 |
| NLFGNR | 41 | 10.7 |
| LFGNR | 29 | 7.5 |
| P. vulgaris | 3 | 0.8 |
| Serratia spp. | 4 | 1 |
| K. ozaenae | 47 | 12.2 |
| Citrobacter spp. | 33 | 8.6 |
NLGNR: nonlactose fermenter Gram-negative rods.
The predominant organisms were observed between 3 and 28 days of life, 461(86%), and the prevalence of bacteria isolates was observed in 0–3 days of life, 14 (75%). It is significantly associated with bacterial isolates (P ≤ 0.007, AOR = 1.52, CI: 1.12–2.02). The other risk factor associated with neonatal septicemia was gestational age at birth <37 weeks (P ≤ 0.007, AOR = 1.52, CI: 1.12–2.02), and 52% of preterm were blood culture positive. A majority of bacterial isolates were from neonatal patients who were admitted in the NICU, 396(74%) (Table 3).
Table 3.
Bivariate and multivariate analysis relationship between risk factors and bacterial isolates among neonates having sepsis at University of Gondar Comprehensive Specialized Referral Hospital, Gondar, Northwest Ethiopia, 2021.
| Characteristics | Pos., N(%) | Neg., N(%) | COR (95% CI) | P value | AOR (95% CI) | P value |
|---|---|---|---|---|---|---|
| Sex | ||||||
| Male | 287(53.5) | 708(53.7) | 0.99(0.81–1.22) | 0.946 | 1.02(0.82–1.26) | 0.883 |
| Female | 249(46.5) | 610(46.3) | 1 | 1 | ||
|
| ||||||
| Age group | ||||||
| 0–3 days | 75(14) | 248(19) | 1 | 1 | ||
| 3–28 days | 461(86) | 1070(81) | 1.42(1.08–1.89) | 0.013 | 1.52(1.12–2.05) | 0.007 |
|
| ||||||
| Gestational age at birth | ||||||
| Preterm (<37 weeks) | 278(52) | 210(16) | 5.7(4.54–7.11) | ≤0.001 | 5.81(4.63–7.29) | ≤0.001 |
| Term (>37 weeks) | 258(48) | 1108(84) | 1 | 1 | ||
|
| ||||||
| Admitted wards | ||||||
| NICU | 396(74) | 1029(78) | 0.64(0.37–1.08) | 0.094 | 0.63(0.36–1.13) | 0.121 |
| N-wards | 91(17) | 192(14.6) | 0.78(0.44–1.39) | 0.404 | 0.92(0.49–1.72) | 0.795 |
| Pediatrics | 23(4.3) | 38(3) | 1 | 1 | ||
| Others | 26(6) | 59(4.4) | 0.37(0.73–0.36) | 0.370 | 0.80(0.38–1.69) | 0.562 |
COR, crude odds ratio; AOR, adjusted odds ratio; CI, confidence interval.
3.3. Trends of Neonatal Septicemia
The trends of bacterial isolates that caused neonatal sepsis among neonatal patients tend to decrease in years. The prevalence of neonatal septicemia significantly increased in 2017 (7.2% and 5%), 2018 (29.9% and 6.5%), and 2019 (17.5% and 3.7%), Gram-negative and Gram-positive bacterial isolates, respectively. On the other hand, the lowest prevalence of neonatal septicemia was in 2010 (0.2% and 0.2%) and 2011 (0% and 0.4%), Gram-negative and Gram-positive bacterial isolates, respectively (Figure 1).
Figure 1.

Trends of neonatal septicemia in years at University of Gondar Comprehensive Specialized Hospital, Gondar, Northwest Ethiopia, 2021.
3.4. Antibiotic Susceptibility Patterns of Bacterial Isolates from Neonatal Septicemia
Gram-positive bacterial species are also common causative agents for neonatal sepsis infection, significantly showing a high level of resistance to different antimicrobial agents. For instance, in this study, S. aureus and CoNs were the most predominantly isolated Gram-positive bacteria and had a great extent of resistance to ampicillin (83%), amoxicillin (87%), trimethoprim-sulfamethoxazole (81%), and norfloxacin (80%). On the contrary, amikacin (100%) and vancomycin (86%) were active antimicrobial agents against S. aureus and CoNs. On other hand, S. pyogenes were highly resistant to amoxicillin (100%) (Table 4).
Table 4.
Antimicrobial susceptibility profile of Gram-positive bacterial isolates at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia.
| Gram positive | AMP, N(%) | AMX, N(%) | AMK, N(%) | CAF, N(%) | SXT, N(%) | CIP, N(%) | VAN, N(%) | CN, N(%) | CRO, N(%) | E, N(%) | OX, N(%) | NOR, N(%) | CXT, N(%) | DA, N(%) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| S. aureus | ||||||||||||||
| S | 6(17) | 3(13) | 6(100) | 25(46) | 8(19) | 33(49) | 48(86) | 10(50) | 15(35) | 16(22) | 6(32) | 4(20) | 10(50) | 33(25) |
| R | 30(83) | 20(87) | 0(0) | 30(54) | 34(81) | 34(51) | 8(14) | 10(50) | 28(65) | 57(78) | 13(68) | 16(80) | 10(50) | 13(75) |
|
| ||||||||||||||
| S. viridans | ||||||||||||||
| S | 0(0) | 1(100) | 1(100) | 3(60) | 0(0) | 3(60) | 8(67) | 0(0) | 1(20) | 3(25) | 2(67) | N/A | N/A | 7(64) |
| R | 2(100) | 0(0.0) | 0(0) | 2(40) | 7(100) | 2(40) | 4(33) | 2(100) | 4(80) | 9(75) | 1(33) | N/A | N/A | 4(36) |
|
| ||||||||||||||
| Enterococus spp. | ||||||||||||||
| S | 0(0) | 0(0) | N/A | N/A | 1(100) | 0(0) | 1(100) | 2(100) | 0(0) | 2(100) | 0(0) | 1(100) | N/A | 0(0) |
| R | 1(100) | 1(100) | N/A | N/A | 0(0) | 1(100) | 0(0) | 0(0) | 1(100) | 0(0) | 1(100) | 0(0) | N/A | 2(100) |
|
| ||||||||||||||
| S. pyogenes | ||||||||||||||
| S | 1(100) | 1(33) | N/A | 1(100) | N/A | 0(0) | 2(100) | 0(0) | N/A | 1(50) | N/A | N/A) | N/A | 1(100) |
| R | 0(0) | 2(67) | N/A | 0(0) | N/A | 1(100) | 0(0) | 1(100) | N/A | 1(50) | N/A | (N/A) | N/A | 0(0) |
|
| ||||||||||||||
| CoNs | ||||||||||||||
| S | 0(0) | 1(25) | 1(100) | 2(100) | 1(33) | 2(50) | 10(91) | 1(50) | 0(0) | 4(40) | 0(0) | 1(50) | 1(100) | 6(75) |
| R | 1(100) | 3(75) | 0(0) | 0(0) | 2(67) | 2(50) | 1(9) | 1(50) | 1(100) | 6(60) | 3(100) | 1(50) | 0(0) | 2(25) |
AMP: ampicillin, CAF: chloramphenicol, SXT: trimethoprim-sulfamethoxazole, CIP: ciprofloxacin, VAN: vancomycin, CN: gentamicin, CRO: ceftriaxone, E: erythromycin, OXA: oxacillin, CXT: cefoxitin, NOR: norfloxacin, DA: clindamycin.
Gram-negative bacterial species resistance to commonly used antimicrobials is alarmingly increasing. Klebsiella spp. and E. coli showed a high level of resistance to most tested antimicrobials. Ampicillin, amoxicillin, gentamycin, and ceftriaxone were among the tested antimicrobials resisted by K. pneumoniae with the resistance rate of 100%, 96%, 72%, and 90%, respectively. E. coli also showed a significant level of resistance to ampicillin (96%), and ceftriaxone (67%). However, antimicrobials such as kanamycin (89%) and norfloxacin (67%) had a good inhibition effect against K. pneumoniae (Table 5).
Table 5.
Antimicrobial susceptibility profile of Gram-negative bacterial isolates at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2021.
| Gram negative | AMP | AMX | TOB | CAF | AMK | CIP | GEN | CRO | E | NOR | CTX | AMC | SXT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Enterobacter spp. | N(%) | N(%) | N(%) | N(%) | N(%) | N(%) | N(%) | N(%) | N(%) | N(%) | N(%) | N(%) | N(%) |
| S | 0(0) | 1(7) | 5(28) | 6(35) | 15(94) | 18(69) | 7(29) | 6(32) | 1(33) | 8(73) | 2(50) | 0(0) | 3(21) |
| R | 17(100) | 14(93) | 13(72) | 11(65) | 1(6) | 8(31) | 17(71) | 13(68) | 2(67) | 3(27) | 2(50) | 10(100) | 11(79) |
|
| |||||||||||||
| K. pneumoniae | |||||||||||||
| S | 0(0) | 1(4) | 26(36) | 20(49) | 55(89) | 72(64) | 27(28) | 6(10) | 2(67) | 8(67) | 2(22) | 1(9) | 2(3) |
| R | 69(100) | 23(96) | 47(64) | 21(51) | 7(11) | 40(36) | 70(72) | 54(90) | 1(33) | 4(33) | 7(78) | 40(91) | 75(97) |
|
| |||||||||||||
| K. rhinoscleromatis | |||||||||||||
| S | 0(0) | 0(0) | 3(43) | 1(50) | 3(75) | 7(88) | 2(25) | 1(33) | 0(0) | 1(50 | 0(0) | 0(0) | 3(33) |
| R | 8(100) | 2(100) | 4(57) | 1(50) | 1(25) | 1(12) | 6(75) | 2(67) | 1(100) | 1(50) | 0(0) | 4(100) | 6(67) |
|
| |||||||||||||
| E. coli | |||||||||||||
| S | 1(4) | 1(5) | 10(56) | 7(58) | 10(100) | 22(79) | 15(63) | 4(33) | N/A | 10(77) | 4(67) | 3(33) | 6(29) |
| R | 25(96) | 20(95) | 8(44) | 5(42) | 0(0) | 6(21) | 9(37) | 8(67) | N/A | 3(23) | 2(33) | 6(67) | 15(71) |
|
| |||||||||||||
| NLFGNR | |||||||||||||
| S | 1(5) | 1(9) | 6(43) | 7(58) | 13(87) | 26(84) | 11(39) | 6(27) | 0(0) | 4(50) | 1(50) | 1(100) | 4(20) |
| R | 20(95) | 10(91) | 8(57) | 5(42) | 2(13) | 5(16) | 17(61) | 16(73) | 2(100) | 4(50) | 1(50) | 0(0) | 16(80) |
|
| |||||||||||||
| LFGNR | |||||||||||||
| S | 0(0) | 1(13) | 7(58) | 3(33) | 8(80) | 21(95) | 8(42) | 3(33) | N/A | N/A | 1(50) | 0(0) | 3(18) |
| R | 18(100) | 7(87) | 5(42) | 6(67) | 2(20) | 1(5) | 11(58) | 9(67) | N/A | N/A | 1(50) | 1(100) | 14(82) |
|
| |||||||||||||
| P. vulgaris | |||||||||||||
| S | 0(0) | 0(0) | 1(100) | N/A | 1(50) | 1(50) | 1(50) | 0(0) | N/A | N/A | 2(100) | 0(0) | N/A |
| R | 1(100) | 1(100) | 0(0) | N/A | 1(50) | 1(50) | 1(50) | 1(100) | N/A | N/A | 0(0) | 1(100) | N/A |
|
| |||||||||||||
| Citrobacter spp. | |||||||||||||
| S | 0(0) | 0(0) | 2(17) | 5(36) | 11(100) | 14(78) | 4(21) | 0(0) | 1(50) | 6(67) | 1(25) | 0(0) | 4(22) |
| R | 22100) | 9(100) | 10(83) | 9(64) | 0(0) | 4(22) | 15(79) | 9(100) | 1(50) | 3(33) | 2(75) | 1(100) | 14(78) |
|
| |||||||||||||
| Serratia spp. | |||||||||||||
| S | 0(0) | 0(0) | N/A | 1(50) | 1(100) | 3(100) | 1(50) | N/A | N/A | N/A | 2(100) | 0(0) | 2(100) |
| R | 4(100) | 2(100) | N/A | 1(50) | 0(0) | 0(0) | 1(50) | N/A | N/A | N/A | 0(0) | 1(100) | 0(0) |
|
| |||||||||||||
| K. ozaenae | |||||||||||||
| S | 0(0) | 0(0) | 3(18) | 3(21) | 17(89) | 21(66) | 5(17) | 3(12) | N/A | 6(86) | N/A | 2(15.4) | 4(16) |
| R | 29(100) | 9(100) | 14(82) | 11(79) | 2(11) | 11(34) | 25(83) | 22(88) | N/A | 1(14) | N/A | 11(84.6) | 21(84) |
AMK- amikacin, AMP- ampicillin, NOR- norfloxacin, CRO- ceftriaxone, CAF- chloramphenicol, CIP- ciprofloxacin, E- erythromycin, GN- gentamycin, AMC- amoxicillin-clavulanate, TOB- tobramycin, SXT- trimethoprim-sulfamethoxazole, NLGNR- nonlactose fermenter Gram-negative rods.
3.5. Multidrug-Resistant Isolates
Out of the total numbers of bacterial isolates, 76% were resistant to three or more different classes of antibiotics. Among multidrug resistant (MDR), 103(25.4%), 69(17%), and 163(40%) isolates were resistant to three classes of antibiotics, greater than four and five antibiotics, respectively. Results of drug resistance patterns compared within species specific showed that 80.4% of S. aureus, 40% of K. pneumoniae, and 10.2% of E. coli were MDR isolates (Table 6).
Table 6.
Multidrug-resistant patterns for Gram-positive and Gram-negative bacterial isolates at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2021.
| Bacterial isolates | R3, N(%) | R4, N(%) | ≥ R5, N(%) | Total |
|---|---|---|---|---|
| Gram positive (n = 112) | ||||
| S.aureus | 21(18.8) | 22(19.6) | 47(42) | 90(80.4) |
| S. viridans | 3(2.7) | 5(4.5) | 3(3.7) | 11(9.8) |
| Enterococcus spp. | 1(0.9) | 2(1.8) | 1(0.9) | 4(3.6) |
| S. pyogenes | 0(0) | 0(0) | 1(0.9) | 1(0.9) |
| CoNs | 2(1.8) | 3(3.7) | 1(0.9) | 6(5.3) |
|
| ||||
| Gram negative (n = 294) | ||||
| Enterobacter spp. | 4(1.4) | 3(1) | 13(4.4) | 20(6.8) |
| K.pneumoniae | 27(9.2) | 43(14.6) | 49(16.7) | 119(40.5) |
| K. rhinoscleromatis | 1(0.3) | 2(0.7) | 6(2) | 9(3) |
| Pseudomonas spp. | 1(0.3) | 0(0) | 0(0) | 1(0.3) |
| E. coli | 9(3) | 9(3) | 12(4) | 30(10.2) |
| NLFGNR | 9(3) | 5(1.7) | 12(4) | 26(8.8) |
| LFGNR | 11(3.7) | 3(1) | 8(2.7) | 22(7.5) |
| P. vulgaris | 0(0) | 1(0.3) | 0(0) | 1(0.3) |
| Serratia spp. | 0(0) | 1(0.3) | 1(0.3) | 2(0.7) |
| K. ozaenae | 9(3) | 11(3.7) | 17(5.8) | 37(12.6) |
| Citrobacter spp. | 5(1.7) | 8(2.7) | 14(4.8) | 27(9.2) |
| Overall (n = 406) | 103(25.4) | 69(17) | 163(40) | 406(76) |
R3, resistance to 3 drug classes; R4, resistance to 4 drug classes; ≥5, resistance to greater than 5 drug classes.
4. Discussion
Neonatal septicemia, a life-threatening worldwide disease, has become a disease of neonates less than one month of age with a significant mortality rate. It has to be reviewed periodically because of specific microorganisms responsible for infection varying with time, geography, and patient age. Out of the total culture, positive rate of bacterial isolates identified from patients with symptoms of neonatal septicemia was 29%, and this prevalence rate is higher than that reported from Nepal (12.6% and 10.8%) and Botswana (9.8%) [14–16]. But, it is lower than that of a study conducted in Egypt (40.7%), Sudan (61.3%), Yemen (57%), and in the Oromia region, southeast Ethiopia (34%) [17–20]. The variation could be due to fact that methodological variation, antibiotic administration before sample collection, control mechanisms in spread of bacterial infection, and difference in study setting might affect blood culture positivity rate.
In the present study, the prevalence of bacterial isolates was higher in males, 53.5%, than in females, 46.5%, which was comparable with the findings of previous studies where the prevalence of neonatal septicemia was higher in males (66%) than in females (33.9%) [16]. This might be due to the physiological and immunological makeup of nature and cultural practices in different societies.
The prevalence of neonatal septicemia was higher in the preterm (<37 weeks) than in gestational age >37 weeks (term). Similarly, studies in Ethiopia, Mexico, and Indonesia have also showed that preterm (<37 week) had a significant association with neonatal sepsis [2, 7, 21, 22]. This could be because a baby less than 37 weeks of age may have a limited capacity to increase neutrophil production in accordance to demand to overcome. In the current study, the predominant isolates causing neonatal septicemia from Gram-positive and -negative bacteria were S. aureus, 118 (76.6%), K. pneumoniae, 146(38%), and CoNs, 12(7.8%), respectively. Similarly, previous studies report that those isolates were also the major pathogens of neonatal septicemia [7, 18, 23].
In our study, amikacin, ciprofloxacin, and norfloxacin were the most effective drugs for Gram-negative isolates and vancomycin and ciprofloxacin were for Gram-positive isolates which correlates with the study conducted in Ethiopia [7]. S. aureus and CoNs showed the highest susceptibility towards vancomycin and ciprofloxacin. Amikacin showed 89% sensitivity towards K. pneumoniae isolates, similar to the findings of Muley et al. [24].
In this study, MDR was observed in S. aureus (80.4%), K. pneumoniae (40.5%), and E. coli (10.2%). Similarly, previous studies report that those MDR pathogens were the most common causative agents of neonatal septicemia [7, 25]. S. aureus and K. pneumoniae were common pathogens that showed MDR due to genetic competence to acquire antibiotic resistance genes from other strains, intrinsic resistance mechanisms, and chromosomal and plasmid-encoded beta-lactam hydrolyzing enzymes [7, 26, 27].
5. Conclusions and Recommendations
The prevalence of septicemia among neonatal patients was 29%. Gestational age at birth <37 weeks (preterm) is a high-risk factor for neonatal septicemia than gestational age at birth >37 weeks (term), and it is significantly associated with bacterial isolates (P ≤ 0.001, AOR = 5.81, CI: 4.63–7.29). Also, most of the bacterial pathogens were resistant to commonly prescribed antibiotics. Therefore, infection-preventive measures are required with a particular focus on neonatal patients. Further research is needed to explore the epidemiology and risk factors of neonatal septicemia.
Acknowledgments
The authors would like to acknowledge the University of Gondar, College of Medicine and Health Sciences, School of Biomedical and Laboratory Science, for the logistic and material support. The authors would also like to thank bacteriology laboratory unit staff members and facilitators for data collection.
Abbreviations
- CoNs:
Coagulase-negative Staphylococcus species
- CSF:
Cerebrospinal fluid
- ESBL:
Extended-spectrum beta-lactamase
- MDR:
Multidrug resistant
- MRSA:
Methicillin-resistant Staphylococcus aureus
- NICU:
Neonatal intensive care unit
- AOR:
Adjusted odds ratio
- EONS:
Early-onset neonatal sepsis
- EOS:
Early-onset sepsis.
Contributor Information
Mohabaw Jemal, Email: mohabawjemal@gmail.com.
Birhanu Ayelegn, Email: birhanuayelign42@gmail.com.
Data Availability
Data and supporting materials associated with this study will be shared upon request.
Ethical Approval
The study was conducted after obtaining ethical clearance from the University of Gondar School of Biomedical and Laboratory Sciences ethical review committee. The collected data were used only for the study objective. The information obtained at any course of the study was confidential. Additionally, a permission letter from the hospital laboratory directorate was obtained before the data collection was performed.
Conflicts of Interest
All authors declare no conflicts of interest.
Authors' Contributions
All authors participated to conception of research idea, study design, data collection, analysis, and interpretation, agreed to submit to the current journal, and read and approved the final version of the manuscript.
References
- 1.Haque K. N. Definitions of bloodstream infection in the newborn. Pediatric Critical Care Medicine: A Journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies . 2005;6(3):S45–S49. doi: 10.1097/01.PCC.0000161946.73305.0A. [DOI] [PubMed] [Google Scholar]
- 2.Leal Y. A., Álvarez-Nemegyei J., Velázquez J. R., et al. Risk factors and prognosis for neonatal sepsis in southeastern Mexico: analysis of a four-year historic cohort follow-up. BMC Pregnancy and Childbirth . 2012;12(1):p. 48. doi: 10.1186/1471-2393-12-48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Aytenew Getabelew M. A., Fantaye E., Yeheyis T. Prevalence of neonatal sepsis and associated factors among neonates in neonatal intensive care unit at selected governmental hospitals in shashemene town, Oromia regional state, Ethiopia. International Journal of Pediatrics . 2018;7 doi: 10.1155/2018/7801272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Zaidi HAG A. K. M., Syedetal S. Effect of case management on neonatal mortality due to sepsis and pneumonia, BMC Public Health . 2011;11(3):p. S13. doi: 10.1186/1471-2458-11-s3-s13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Afsharpaiman S., Torkaman M., Saburi A., Farzaampur A., Amirsalari S., Kavehmanesh Z. Trends in incidence of neonatal sepsis and antibiotic susceptibility of causative agents in two neonatal intensive care units in tehran, I.R Iran. Journal of Clinical Neonatology . 2012;1:124–30. doi: 10.4103/2249-4847.101692. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Simonsen K. A., Anderson-Berry A. L., Delair S. F., Davies H. D. Early-onset neonatal sepsis. Clinical Microbiology Reviews . 2014;27(1):21–47. doi: 10.1128/cmr.00031-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.G/eyesus T., Moges F., Eshetie S., Yeshitela B., Abate E. Bacterial etiologic agents causing neonatal sepsis and associated risk factors in Gondar, Northwest Ethiopia. BMC Pediatrics . 2017;17(1):p. 137. doi: 10.1186/s12887-017-0892-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Jyothi P., Basavaraj M. C., Basavaraj P. V. Bacteriological profile of neonatal septicemia and antibiotic susceptibility pattern of the isolates. Journal of Natural Science, Biology, and Medicine . 2013;4(2):306–9. doi: 10.4103/0976-9668.116981. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gultie A. S. S. Microbial spectrum of fruit in Gondar town markets, North Western Ethiopia. Journal of Microbiology Research . 2013;3(1):1–10. [Google Scholar]
- 10.Cheesbrough M. District Laboratory Practice in Tropical Countries . London, UK: Cambridge University Press; 2006. [Google Scholar]
- 11.Clinical and Laboratory Standard Institution. Principles and Procedures for Blood Culture; Approved Guideline . Wayne, PA, USA: Clinical and Laboratory Standard Institution Document M47-A CaLSI; 2007. [Google Scholar]
- 12.Clinical and laboratory standard institute. Performance Standards For Antimicrobial Susceptibility Testing: Twenty-Forth Informational Supplement CLSI Document M100-S24CLS . Philadelphia, PA, USA: Clinical and laboratory standard institute; 2014. [Google Scholar]
- 13.Clinical and Laboratory Standards Institute (CLSI) Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria that Grow Aerobically: Approved Standard-Tenth Edition . Wayne, PA, USA: CLSI Document M07-A10; 2015. [Google Scholar]
- 14.Ansari S., Nepal H. P., Gautam R., Shrestha S., Neopane P., Chapagain M. L. Neonatal septicemia in Nepal: early-onset versus late-onset. International Journal of Pediatrics . 2015;6 doi: 10.1155/2015/379806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mudzikati L., Dramowski A. Neonatal septicaemia: prevalence and antimicrobial susceptibility patterns of common pathogens at Princess Marina Hospital, Botswana. Southern African Journal of Infectious Diseases . 2015;30(3):108–113. doi: 10.1080/23120053.2015.1074443. [DOI] [Google Scholar]
- 16.Sapkota S. T. B. Changing trend of neonatal septicemia and antibiotic susceptibility pattern of isolates in Nepal. International Journal of Pediatrics . 2019;7 doi: 10.1155/2019/3784529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Shehab E. E.-S. A., Bassiouny R., Hassan R. Epidemiology of neonatalsepsis and implicated pathogens: a study from Egypt. BioMed Research International . 2015;4 doi: 10.1155/2015/509484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Al-Shamahy H. S. A., Al-Robasi B., Naser M. Types of bacteria associated with neonatal sepsis in al-Thawra university hospital, Sana’a, Yemen, and their antimicrobial profile. Sultan Qaboos University Medical Journal . 2012;12(1):p. 4. doi: 10.12816/0003087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kheir A., Khair R. Neonatal sepsis; prevalence and outcome in a tertiary neonatal unit in Sudan. International Journal of Medical Sciences . 2014;2:21–25. [Google Scholar]
- 20.Sorsa A. Epidemiology of neonatal sepsis and associated factors implicated: observational study at neonatal intensive care unit of arsi university teaching and referral hospital, South East Ethiopia. Ethiopian journal of health sciences . 2019;29(3):333–342. doi: 10.4314/ejhs.v29i3.5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.WBDcssonsitnicuoTAh Y. A. Ethiopia. Ethiopia Journal of Pediatric Children Health . 2010;6(6):50–54. [Google Scholar]
- 22.Hayun M., Daud D., Madjid D. The risk factors of early onset neonatal sepsis. American Journal of Clinical and Experimental Medicine . 2015;3(3):78–82. doi: 10.11648/j.ajcem.20150303.11. [DOI] [Google Scholar]
- 23.Khanal R., Manandhar S., Acharya G. Bacteriological profile of neonatal sepsis in a tertiary level hospital of Nepal. Journal of Nepal Paediatric Society . 2015;34(3):175–180. doi: 10.3126/jnps.v34i3.9183. [DOI] [Google Scholar]
- 24.Muley V., Ghadage D., Bhore A. Bacteriological profile of neonatal septicemia in a tertiary care hospital from Western India. Journal of Global Infectious Diseases . 2015;7(2):75–77. doi: 10.4103/0974-777x.154444. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Onyedibe K. I. B.-T. F., Nwadike V., Afolaranmi T., Okolo M., Uket O. High rates of bacteria isolates of neonatal sepsis with multi drug resistance patterns in Jos Nigeria. Annals of Tropical Paediatrics: International Child Health . 2015;3:p. 1052. [Google Scholar]
- 26.Thenmozhi S. M. M., Sureshkumar B., Suresh M. Antibiotic resistance mechanism of ESBL producing Enterobacteriaceae in clinical field: a review. Indian Journal of Pure & Applied Biosciences . 2014;2:207–226. [Google Scholar]
- 27.Östholm Balkhed Å. Extended-Spectrum SS-Lactamase-ProducingEnterobacteriaceae: Antibiotic Consumption, Detection and Resistance Epidemiology . Linköping, Sweden: Linköping University Electronic Press; 2014. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data and supporting materials associated with this study will be shared upon request.
