Skip to main content
International Journal of Immunopathology and Pharmacology logoLink to International Journal of Immunopathology and Pharmacology
. 2020 Aug 20;34:2058738420950586. doi: 10.1177/2058738420950586

Differences in clinical characteristics of early- and late-onset neonatal sepsis caused by Klebsiella pneumoniae

Ting You 1, Han Zhang 1, Lu Guo 1, Ke-Ran Ling 1, Xiao-Yu Hu 1, Lu-Quan Li 1,
PMCID: PMC7444108  PMID: 32816593

Abstract

To identify differences in the clinical characteristics of early- and late-onset sepsis (EOS and LOS) caused by Klebsiella pneumoniae (K. pneumoniae) and to describe the risk factors for multidrug-resistant K. pneumoniae (MDR-KP) infection. Infants with K. pneumoniae-induced sepsis who were admitted to a children’s Hospital between Jan 2000 and Dec 2019 were included. All infants were divided into EOS and LOS groups, as well as MDR-KP and non-MDR-KP groups. Demographics, clinical characteristics, and risk factors were compared between the two groups. One hundred eighty infants (66 with EOS and 114 with LOS) were further analyzed, accounting for 36.8% of sepsis cases caused by MDR-KP. The frequency of respiratory failure, bronchopulmonary dysplasia, and intraventricular hemorrhage were more common in the LOS group and a higher rate of acute respiratory distress syndrome was more common in infants in the EOS group (P < 0.05). K. pneumoniae showed a low sensitivity to penicillin, beta-lactams and cephalosporins, and it showed a high sensitivity to levofloxacin, ciprofloxacin, and amikacin. Prematurity, low birth weight, longer antibiotic exposure time, long duration of peripheral catheter insertion, long mechanical ventilation time, and long parenteral nutrition time were associated with an increased rate of MDR-KP infection by univariate analysis (P < 0.05). The regression analysis identified a long antibiotic exposure time (OR = 1.37, 95% CI: 1.01–1.89) and long parenteral nutrition time (OR = 1.39, 95% CI: 1.01–1.89) as independent risk factors for a MDR-KP infection, and a greater gestational age and birth weight were associated with a lower risk of MDR-KP infection (OR = 0.57, 95% CI: 0.40–0.79). LOS caused by K. pneumoniae may lead to a higher frequency of complications. The risk factors for MDR-KP infection were longer duration of antibiotic exposure and parenteral nutrition. A greater gestational age and larger birth weight may decrease the risk of MDR-KP infection.

Keywords: antibiogram, early-onset sepsis, Klebsiella pneumoniae, late-onset sepsis, multidrug-resistant, neonate

Introduction

Neonatal sepsis remains a major cause of neonatal morbidity and mortality, particularly in preterm newborns and newborns with a very low birth weight (VLBW).13 In the USA, the incidence of neonatal sepsis ranges from one to four infections per 1000 livebirths.4 In four Asian centers (mainland China, Thailand, Macau, and Malaysia), the overall incidence of neonatal sepsis was 26.1 per 1000 admissions.4 Neonatal sepsis is one of the most common causes of neonatal death, killing 0.421 million neonates worldwide in 2013.5 According to Laxminarayan,6 214,000 of 690,000 annual neonatal deaths (31%) are associated with sepsis.

Neonatal sepsis is divided into early-onset (defined as the onset of sepsis in the first three days of life) and late-onset (after day three of life) sepsis.1 Early-onset sepsis (EOS) is associated with prematurity, a low birth weight, and obstetric complications, such as premature rupture of membranes (PROM), and chorioamnionitis,710 and the major gram-negative pathogen causing EOS is Escherichia coli.810 In contrast, late-onset sepsis (LOS) is related to prematurity, a low birth weight, invasive procedures such as resuscitation in the delivery room, tracheal intubation, mechanical ventilation, central venous catheter placement, and surgical procedures.11,12 Pathogens causing LOS vary worldwide, and reports more commonly show that the causative agent is gram-positive organisms,13 while gram-negative organisms in infants with LOS requiring tracheal intubation and mechanical ventilation have also been reported.1113 EOS and LOS have their own characteristics in terms of risk factors and clinical features.12,14,15

Klebsiella pneumoniae (K. pneumoniae) is a common and important pathogen causing neonatal infections, and multidrug-resistant K .pneumoniae (MDR-KP) in particular poses an urgent threat to public health.16,17 Notably, K. pneumoniae resistance varies considerably between countries, as MDR-KP is endemic to eastern and southwestern Europe, as well as Mediterranean countries, and the rates of resistance to third-generation cephalosporins, fluoroquinolones and aminoglycosides exceed 50%–60%.16,17 Regarding carbapenems, almost all regions were previously free of carbapenem-resistant K. pneumoniae, but carbapenem-resistant K. pneumoniae emerged in 2015 in several countries, including Romania, Italy, and Greece, reaching resistance rates of 40%–60%.17,1820 In China, the overall prevalence of imipenem-resistant K. pneumoniae increased from 3.0% to 20.9% and the prevalence of meropenem-resistant K. pneumoniae increased from 2.9% to 24.0% between 2005 and 2017.21

To our knowledge, few studies have reported EOS caused by K. pneumoniae, and LOS caused by K. pneumoniae has also been only simply been mentioned2,22; therefore, the difference in EOS and LOS due to K. pneumoniae infection remains unclear. In addition, limited recent data are available on neonate sepsis caused by MRD-KP. This study had two aims. First, we compared the differences in the clinical features and drug sensitivity of neonates with sepsis caused by K. pneumoniae. Second, we identified the epidemiology and clinical features of infants with sepsis due to an MDR-KP infection compared with infants with sepsis caused by a non-MDR-KP infection and to identify risk factors for MDR-KP infection.

Materials and methods

Study population

This retrospective study was conducted at the Neonatal Diagnosis and Treatment Center of the Children’s Hospital of Chongqing Medical University (CHCMU) between Jan 2000 and Dec 2019. Neonates with K. pneumoniae-induced sepsis were grouped into an early-onset group (symptom onset within 3 days after birth) and a late-onset group (symptom onset after 3 days of life).1 The definition of K. pneumoniae-induced sepsis was a positive blood or cerebrospinal fluid culture with clinical manifestations of sepsis, consistent with the diagnostic criteria for neonatal sepsis.23 MDR-KP was defined according to the international expert proposal of European Centre for Disease Prevention and Control and the Centers for Disease Control and Prevention.24 Acute respiratory distress syndrome (ARDS) was diagnosed according to the Montreux definition of neonatal ARDS.25 Hypoglycemia was defined as a blood glucose level <47 mg/dL (2.61 mmol/L).26 Bronchopulmonary dysplasia (BPD) was defined as a requirement for supplemental oxygen or positive pressure support at 36 weeks of postmenstrual age, with severe BPD defined according to the National Institutes of Health criteria.27 The diagnostic criteria for intraventricular hemorrhage (IVH) were graded according to the Papile criteria.28 Infants lacking infectious clinical manifestations were excluded from further study, despite the presence of a positive blood culture.

Data collection

Medical charts were reviewed, and the gestational age, birth weight, sex, age of infection, age at admission and other medical parameters were extracted. Maternal and prenatal data were collected, including maternal chronic diseases, gestational diabetes mellitus, maternal hypertension, intrahepatic cholestasis of pregnancy, PROM >18 h, antenatal steroid exposure, chorioamnionitis and clinical complications. The laboratory test results, drug sensitivity of K. pneumoniae, presence of a peripherally inserted central catheter (PICC), parenteral nutritional status, antibiotic therapeutic strategy, pulmonary surfactant (PS) therapy, respiratory support, and prognosis were also collected. This study was approved by the Ethics Committee of the Children’s Hospital of Chongqing Medical University (No: 2016-16), and use of the database housing the evaluated data was permitted by the ethics committees of CHCMU. The data were collected, reviewed, identified, and anonymously analyzed by the authors, and the Ethics Committee waived the requirement for informed consent due to the anonymized nature of the data and scientific purpose of the study.

Statistical analysis

All analyses were performed using SPSS statistical software (version 17, SPSS, Chicago, IL, USA). Data are presented as means (± S.D.), or as medians and interquartile ranges (IQRs), and Student’s test or the Mann–Whitney U test was used to analyze the significance of differences in continuous variables as necessary. The chi-squared or Fisher exact test was used to analyze the significance of differences in categorical variables. Relationships between continuous variables were analyzed by calculating Pearson’s correlation coefficients. When analyzing the risk factors for MDR-KP infection, logistic regression analyses were performed to determine significant independent associations of demographic variables, such as gestational age, birth weight, time of antibiotic exposure, PICC, mechanical ventilation and parenteral nutrition before diagnosis, and the MDR-KP infection. Before performing the logistic regression analysis, the collinearity between multiple continuous variables was tested; if collinearity was identified, collinear variables were subjected to a principal component analysis, and a subsequent logistic regression analysis was conducted to identify the independent risk factor. P < 0.05 was considered statistically significant.

Results

Baseline information

During the study period, 111,996 infants were admitted to the CHCMU. Among them, 4785 suffered from sepsis and blood cultures positive for K. pneumoniae were obtained from 201 infants, but 21 of these infants were excluded from the present study because of blood sample contamination. Therefore, 180 infants met the inclusion criteria. Among those infants, 66 (36.7%) suffered from EOS and 114 (63.3%) from LOS, 66 (36.7%) had sepsis caused by MDR-KP, 105 (58.3%) were male, 91 (50.6%) were preterm, and 110 (61.1%) were infants with a LBW. PROM and chorioamnionitis were identified in 41 and 17 infants, respectively. PS and antenatal steroids were administered to 40 and 56 infants, respectively.

Clinical features of EOS and LOS

Table 1 shows the overall demographic characteristics of infants with EOS and LOS. Higher rates of a lower gestational age, lower birth weight, early age of infection, and early age at admission were observed among infants with LOS than infants with EOS (P < 0.05).

Table 1.

Demographic characteristics of infants enrolled in the present study.

Variable EOS (N = 66) LOS (N = 114) χ 2 /Z/t P
% (n), M (P25–P75), mean ± S.D
Male/female 38/28 67/47 0.025 0.875
Gestational age, w 37.0 (33.0–39.3) 31.6 (29.0–38.0) 4.642 0.000
Birth weight, g 2590 (1623–3185) 1410 (1173–3000) 3.766 0.000
Age at admission, d 4.77 (0.19–8.49) 0.19 (0.48–10.63) 2.485 0.013
Age at infection, d 1.3 (0.6–2.4) 21.5 (12.8–34.0) 10.493 0.000
Prematurity 33.3 (22) 60.5 (69) 12.365 0.000
Low birth weigh 47.0 (31) 69.3 (79) 8.769 0.003
Chorioamnionitis 7.6 (5) 10.5 (12) 0.425 0.514
premature rupture of membranes ( >18 h) 25.8 (17) 21.1 (24) 0.526 0.468
Maternal hypertension 7.6 (5) 9.6 (11) 0.222 0.638
Gestational diabetes mellitus 13.6 (9) 21.9 (25) 1.877 0.171
Meconium stained amniotic fluid 7.6 (5) 10.5 (12) 0.425 0.514
Antenatal steroid use 24.2 (16) 35.1 (40) 2.294 0.130
Cesarean section 59.1 (39) 54.4 (62) 0.376 0.540
Pulmonary surfactant use 15.2 (10) 26.3 (30) 3.014 0.083
Hospitalization duration, d 24.5 ± 20.96 46.27 ± 26.9 5.651 0.000
Mortality 28.2 (19) 16.7 (19) 3.688 0.055

Table 2 provides a summary of the clinical characteristics associated with EOS and LOS. Compared with infants with EOS, infants with LOS showed higher frequencies of respiratory failure, BPD, and IVH (P < 0.05). Meanwhile, a higher rate of acute respiratory distress syndrome (ARDS) was observed in infants in the EOS group (P < 0.05). The occurrence of other clinical complications, including septic shock, purulent meningitis, pulmonary hemorrhage, necrotizing enterocolitis (NEC), hypoglycemia, and renal insufficiency, was not significantly different between the two groups (P > 0.05).

Table 2.

Comparison of neonatal complications between the two groups of infants. (% (n)).

Variable EOS (N = 66) LOS (N = 114) χ 2 P
Respiratory failure 36.4 (24) 53.5 (61) 4.930 0.026
persistent pulmonary hypertension of newborn 13.6 (9) 15.8 (18) 0.152 0.697
Acute respiratory distress syndrome 19.7 (13) 6.1 (7) 7.778 0.005
Bronchopulmonary dysplasia 4.5 (3) 18.4 (21) 6.964 0.008
Intraventricular hemorrhage 21.2 (14) 39.5 (45) 6.326 0.012
Septic shock 1.5 (1) 10.5 (12) 3.810 0.051
Pulmonary hemorrhage 6.1 (4) 15.8 (18) 3.688 0.055
Necrotizing enterocolitis 18.2 (12) 17.5 (20) 0.012 0.914
Hypoglycemia 21.2 (14) 21.9 (25) 0.013 0.910
Coagulation disorders 57.6 (38) 52.6 (60) 0.412 0.521
Purulent meningitis 21.2 (14) 20.2 (23) 0.028 0.868
Renal insufficiency 21.2 (14) 26.3 (30) 0.590 0.443

Table 3 lists the drug resistance rates of K. pneumoniae to commonly used antimicrobials. In both groups, K. pneumoniae showed a low sensitivity to penicillin (1.2%–10.3%), beta-lactams (18.8%–39.1%) and cephalosporins (12.8%–28.5%), and a high sensitivity to quinolones (86.0%–92.2%) and aminoglycosides (71.5%–96.0%). Notably, 43.3% of K. pneumoniae isolates produced Extended-Spectrum β-Lactamases (ESBL) and 39.3% of K. pneumoniae isolates were resistant to carbapenem. No significant difference was observed in the drug resistance rates between the EOS and LOS groups (P < 0.05).

Table 3.

Rates of K. pneumoniae susceptibility to different antibiotics (% (n/N)).

Variable Total (N = 180) EOS (N = 66) LOS (N = 114) χ 2 P
Penicillin
Ampicillin 1.2 (2/167) 0.0 (0/63) 1.9 (2/104) 0.527
Piperacillin 10.3 (16/155) 13.3 (8/60) 8.4 (8/95) 0.959 0.328
Beta-lactam
Ampicillin plus sulbactam 18.8 (33/176) 24.2 (16/66) 15.5 (17/110) 2.091 0.148
Piperacillin plus tazobactam 39.1 (70/179) 54.5 (36/66) 30.1 (34/113) 10.465 0.001
Cephalosporin
Cefazolin 12.8 (22/172) 14.3 (9/63) 11.9 (13/109) 0.199 0.655
Ceftazidime 28.5 (51/179) 39.4 (26/66) 22.1 (25/113) 6.099 0.014
Cefotaxime 17.4 (31/178) 19.7 (13/66) 16.1 (18/112) 0.380 0.538
Carbapenem
Imipenem 60.7 (105/173) 90.8 (59/65) 42.6 (46/108) 39.478 0.000
Quinolone
Levofloxacin 92.2 (165/179) 98.5 (65/66) 88.5 (100/113) 5.767 0.016
Ciprofloxacin 86.0 (154/179) 95.5 (63/66) 80.5 (91/113) 7.723 0.005
Aminoglycoside
Amikacin 96.0 (169/176) 100.0 (66/66) 93.6 (103/110) 2.866 0.090
Gentamicin 71.5 (128/179) 71.2 (47/66) 71.7 (81/113) 0.005 0.946
Others
MDR-KP, % (n) 36.7 (66/180) 0.0 (0/66) 57.9 (66/114) 60.332 0.000
ESBL, % (n) 43.3 (78/180) 65.2 (43/66) 30.7 (35/115) 20.202 0.000

ESBL: Extended-Spectrum β-Lactamases; MDR-KP: multidrug-resistant K. pneumoniae.

Features of MDR-KP sepsis and risk factors for MDR-KP infection

Table 4 shows the overall demographic characteristics of infants with sepsis caused by MDR-KP and non-MDR-KP infections. All MDR-KP infections were identified in the LOS group, and a lower gestational age, lower birth weight, longer time of antibiotic exposure, PICC, mechanical ventilation, and parenteral nutrition before diagnosis were more common in the MDR-KP infection group (P < 0.05). The age at infection in the MDR-KP group was older compared with the non-MDR-KP infection group (P < 0.05). Meanwhile, the age at admission was earlier and a greater requirement for PS therapy was observed in infants in the MDR-KP infection group (P < 0.05). No differences in maternal factors, neonatal gender, and pattern of delivery were observed (P > 0.05). Furthermore, the age at infection in the MDR-KP infection group was inversely correlated with the gestational age and birth weight (Figures 1A and 1B).

Table 4.

Demographic characteristics and risk factors of infants in the two groups.

Variable Non-MDR-KP (N = 114) MDR-KP (N = 66) χ 2 /Z/t P
% (n), M (P25–P75), mean ± S.D
Maternal factors
Chorioamnionitis 7.0 (8) 13.6 (9) 2.141 0.143
Antenatal steroid use 27.2 (31) 37.9 (25) 2.227 0.136
Maternal hypertension 8.8 (10) 9.1 (6) 0.005 0.942
Premature rupture of membranes ( >18 h) 25.4 (29) 18.2 (12) 1.251 0.263
Meconium stained amniotic fluid 8.8 (10) 10.6 (7) 0.164 0.685
Gestational diabetes mellitus 27.3 (18) 14.0 (16) 4.781 0.029
Neonatal factors
Male 61.4 (70) 53.0 (35) 1.206 0.272
Gestational age, w 36.7 (31.3–39.1) 30.3 (28.1–35.4) 4.467 0.000
Prematurity 41.2 (47) 66.7 (44) 10.821 0.001
Birth weight, g 2450 (1405–3205) 1340 (1150–2280) 3.986 0.000
Low birth weight 52.7 (58) 47.3 (52) 13.702 0.000
twin 12.1 (8) 16.7 (19) 0.677 0.41
Cesarean section 57.9 (66) 53.0 (35) 0.402 0.526
Age of infection, d 3.0 (1.0–21.0) 20.5 (11.8–32.3) 5.297 0.000
Age at admission, d 5.14 (0.11–11.89) 0.08 (0.04–2.20) 4.702 0.000
Late onset sepsis 42.1 (48) 100 (66) 60.332 0.000
Duration of antibiotic exposure before diagnosis, d 1.0 (0.0–14.3) 12.0 (6.8–21.0) 4.804 0.000
Antibiotic exposure before diagnosis 55.3 (63) 90.9 (60) 24.545 0.000
PICC time before diagnosis, d 0.0 (0.0–11.0) 14.0 (7.5–23.0) 5.521 0.000
PICC time before diagnosis 31.6 (36) 83.3 (55) 44.790 0.000
Duration of mechanical ventilation, d 0.0 (0.0–0.0) 0.0 (0.0–4.0) 2.810 0.005
Mechanical ventilation before diagnosis 21.1 (24) 39.4 (26) 7.009 0.008
Duration of parenteral nutrition before diagnosis, d 0.0 (0.0–21.0) 20.0 (9.0–31.0) 5.250 0.000
Pulmonary surfactant use 14.0 (16) 36.4 (24) 12.057 0.000
Hospitalization duration, d 31.56 ± 24.86 49.92 ± 26.64 4.651 0.000
Mortality 21.2 (24) 21.2 (14) 0.001 0.98
PICC: peripherally inserted central catheter.

Figure 1A.

Figure 1A.

The relationship between the age at which the MDR-KP infection was acquired and gestational age.

Figure 1B.

Figure 1B.

The relationship between the age at which the MDR-KP infection was acquired and birth weight.

Table 5 shows the independent risk factors for MDR-KP infection. Before conducting the logistic regression analysis, continuous variables, including gestational age, birth weight, duration of antibiotic exposure, PICC, mechanical ventilation, and parenteral nutrition before diagnosis, were subjected to a collinearity analysis. Collinearity existed between the following variables: (1) gestational age and birth weight, which were further defined as the congenital nutritional factor; (2) PICC time and parenteral nutrition time, which were further defined as the postnatal parenteral nutritional support factor. The logistic regression analysis was subsequently performed (Table 5). The congenital nutritional factor was identified as a protective factor, suggesting that a higher gestational age and birth weight resulted in a lower risk of MDR-KP infection. The postnatal parenteral nutritional support factor was considered a risk factor, suggesting that a longer time of parenteral nutrition and PICC resulted in a greater risk of MDR-KP infection. Meanwhile, a longer duration of antibiotic exposure would increase the risk of MDR-KP infection. The associations between the temporal distribution of MDR-KP infection and the independent risk factors are shown in Figure 2.

Table 5.

Independent risk factors for MDR-KP infection.

Variables β S.E. Wald P OR (95% CI)
Congenital nutritional factors –0.57 0.17 10.883 0.001 0.57 (0.40–0.79)
Postnatal nutritional factor 0.33 0.16 4.435 0.035 1.39 (1.02–1.90)
Duration of antibiotic exposure 0.32 0.16 4.175 0.041 1.38 (1.01–1.89)
Constant –0.61 0.17 13.463 <0.001

Figure 2.

Figure 2.

The association between temporal distribution of the MDR-KP infection and independent risk factors.

Treatment and prognosis

All infants were treated with antibiotics according to the drug sensitivity reports. Other treatment protocols, including total parental nutrition and intensive care (cardiorespiratory support, blood or blood products transfusion), were administered when necessary. Although no difference in mortality was observed between the EOS and LOS groups, the duration of hospitalization was much longer in infants in the EOS group than in the LOS group (Table 1). Meanwhile, the mortality in the MDR-KP infection group was similar to the Non-MDR-KP infection group; however, the duration of hospitalization was longer in infants in the MDR-KP infection group (Table 4). Sixteen of the 20 infants with ARDS were treated with PS, and no significant difference in mortality was observed between the infants treated with PS and without PS (25% (4/16) vs 25% (1/4), χ2 = 0.000, P = 1.0).

Discussion

A previous study identified preterm birth/low birth weight as the risk factors most closely associated with EOS.29 Meanwhile, preterm birth/low birth weight are also risk factors for LOS.13 In the present investigation, a greater percentage of infants with a lower birth weight and gestational age had LOS. This finding might be related to prematurity, and low birth weight infants have a more immature immune system, which requires longer periods of parenteral nutrition and hospitalizations, coupled with invasive procedures such as intravenous catheterization and mechanical ventilation, placing them at higher risk for LOS.30

Neonatal sepsis might be complicated with purulent meningitis, septic shock, disseminated intravascular coagulation and other life-threatening conditions. In the present study, we also observed a higher rate of complication with ARDS in infants with EOS caused by K. pneumoniae infection. ARDS usually develops due to a secondary deficiency of PS caused by a variety of inflammatory processes.31 Sepsis generally initiates a systemic inflammatory response, and proinflammatory cytokines, such as tumor necrosis factor alpha, interleukin 1 beta (IL-1β), IL-6, and IL-8,32,33 are released. These cytokines activate neutrophils to produce toxic mediators and damage the endothelium and alveolar epithelium,3436 eventually leading to alveolar–capillary barrier injury.30,37 Then, the protein-rich fluid induces acute pulmonary edema and inactivates PS.36 In addition, the inflammatory reaction damages alveolar type II cells and decreases the quantity of PS synthesized; furthermore, oxidation and hydrolysis activated by the inflammatory reaction increase the degradation of PS.38 Therefore, PS therapy might not improve the prognosis in those infants with ARDS due to bacterial infection.

In the present study, higher incidence of BPD was observed in infants with LOS, who also had higher percentages of lower gestational age and birth weight. After a bacterial infection, a series of inflammatory responses occur through the release of several cytokines, such as interleukin IL-1, IL-8, and tumor necrosis factor alpha (TNF-α), which may inhibit alveolarization and normal vascular development, compromising the ability of the lungs to heal and causing persistent immune dysregulation.39 Additionally, LOS induces a proinflammatory and profibrotic response in the preterm lung, predisposing it to BPD.40 Moreover, premature and low birth weight infants presenting with immature lungs are exposed to ongoing oxidative and invasive procedures, such as mechanical ventilation, which can aggravate lung damage.41 Based on our findings, clinicians should closely monitor neonates with K. pneumoniae-induced sepsis, particularly infants with LOS, for BPD.

In the present study, a higher incidence of IVH was observed in the LOS group with K. pneumoniae-induced sepsis than in the EOS group (P < 0.05), potentially because the inflammatory response exerts a direct neurotoxic effect, leads to circulatory disturbances, and induces the adhesion of leukocytes to fragile vessels, all of which may increase the risk of IVH.42 In addition, in our study, a higher frequency of premature and lower birth weight infants was observed, which are also considered risk factors for IVH.

In the current study, among 180 infants with sepsis, MDR-KP infections were identified in 66 infants, all of whom were in the LOS group. According to the univariate analysis, a low gestation age, low birth weight, long duration of antibiotic exposure, long PICC time, long mechanical ventilation time and long duration of parenteral nutrition support were risk factors for infection with MDR bacteria. Further logistic regression analyses identified a long duration of antibiotic exposure and parenteral nutrition as independent risk factors for MDR-KP infection, and a greater gestational age and larger birth weight may decrease the risk of MDR-KP infection. Premature and low birth weight infants are susceptible to infections due to malnutrition, immaturity, a weak immune system, and a poor ability to adapt to the external environment, which are conducive to the growth of pathogenic bacteria.43 Premature or low birth weight infants often require more invasive procedures, longer parenteral nutrition and a longer duration of hospitalization, and thus they are more likely to develop nosocomial infections, particularly infections with MDR organisms.44 Invasive operations such as PICC and mechanical ventilation can damage the body’s natural barrier, leading to internal and external communication that destroys the patient’s own barrier and circulatory pathway,45 which will undoubtedly decrease immunity and increase the probability of bacterial colonization or infection.46 Long-term use of antibiotics has been shown to increase the number of drug-resistant strains, producing multidrug-resistant bacteria and even pan-drug resistant strains.47

In the present study, K. pneumoniae isolates were not susceptible to commonly used antibiotics, such as penicillin, beta-lactams, and cephalosporins. A national surveillance study from the UK showed that 94% of isolates in newborns were sensitive to penicillin + gentamicin, 98% to amoxicillin + penicillin and 96% to monotherapy with cefotaxime.48 This large difference may be mainly attributed to the abuse of broad-spectrum antibiotics, particularly third-generation cephalosporins in neonates,49 and intrapartum antibiotic prophylaxis has been linked to the growth of resistant bacteria, mainly bacteria resistant to ampicillin.50 Furthermore, we observed 43.5% of K. pneumoniae produce an ESBL and 39.4% of organisms showed resistance to imipenem in this study. This finding may be related to the significant increase in antibiotic consumption in China and other developing countries, both as prescriptions for patients and feed additives in the agriculture industry. The routine feeding of antibiotics to healthy farm animals, which occurs without a prescription, promotes the development of antibiotic-resistant bacteria that can be transferred to humans.51 Although a high percentage of K. pneumoniae is sensitive to quinolones and aminoglycosides antibiotics, these antibiotics may exert severe side effects on the liver, kidney, hearing, and cartilage development, which make them an inappropriate choice for infants.52

Limitations to our study include the errors and bias inherent to retrospective studies. Additionally, some patients were transferred to our center from other hospitals, and data regarding the details of maternal and infant treatment protocols performed outside of our hospital (e.g. the data on the intake of antibiotics by mothers) were limited. Furthermore, in this retrospective study, although we did not calculate the sample size and collected all the clinical data from infants with sepsis, our single-center study may not completely represent drug sensitivity in China, and multicenter studies are recommended in the future.

Conclusion

LOS caused by K. pneumoniae was linked to higher complication rates, and K. pneumoniae showed a low sensitivity to penicillin, beta-lactams, and cephalosporins and a high sensitivity to levofloxacin, ciprofloxacin, and amikacin. The risk factors for MDR-KP were a long duration of antibiotic exposure, long PICC time and long duration of parenteral nutrition. A reduction in the use of unnecessary invasive procedures might decrease the incidence of MDR-KP infection.

Acknowledgments

We are truly grateful to Lecturer Zhang Rong who works at Medical Statistics and Epidemiology Department of Public Health College of Southwest Medical University

Footnotes

Availability of data and materials: The datasets generated and/or analyzed in the current study are available from the corresponding author upon reasonable request.

Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Ethical approval: Ethical approval for this study was obtained from the Ethics Committee of the Children’s Hospital of Chongqing Medical University (APPROVAL NUMBER/ID:2016-16).

Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.

Informed consent: Informed consent was not sought for the present study because it is a retrospective clinical study.

Trial registration: Not applicable.

References

  • 1. Shane AL, Sánchez PJ, Stoll BJ. (2017) Neonatal sepsis. The Lancet 390: 1770–1780. [DOI] [PubMed] [Google Scholar]
  • 2. Camacho-Gonzalez A, Spearman PW, Stoll BJ. (2013) Neonatal infectious diseases: Evaluation of neonatal sepsis. Pediatric Clinics of North America 60(2): 367–389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Gupta B, Vaswani ND, Sharma D, et al. (2016) Evaluation of efficacy of skin cleansing with chlorhexidine in prevention of neonatal nosocomial sepsis - a randomized controlled trial. The Journal of Maternal-Fetal & Neonatal Medicine 29(2): 242–247. [DOI] [PubMed] [Google Scholar]
  • 4. Al-Taiar A, Hammoud MS, Cuiqing L, et al. (2013) Neonatal infections in China, Malaysia, Hong Kong and Thailand. Archives of Disease in Childhood-Fetal and Neonatal Edition 98(3): F249–F255. [DOI] [PubMed] [Google Scholar]
  • 5. Liu L, Oza S, Hogan D, et al. (2015) Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: An updated systematic analysis. The Lancet 385(9966): 430–440. [DOI] [PubMed] [Google Scholar]
  • 6. Laxminarayan R, Matsoso P, Pant S, et al. (2016) Access to effective antimicrobials: A worldwide challenge. The Lancet 387(10014): 168–175. [DOI] [PubMed] [Google Scholar]
  • 7. Simonsen KA, Anderson-Berry AL, Delair SF, et al. (2014) Early-onset neonatal sepsis. Clinical Microbiology Reviews 27(1): 21–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Shane AL, Stoll BJ. (2013) Recent developments and current issues in the epidemiology, diagnosis, and management of bacterial and fungal neonatal sepsis. American Journal of Perinatology 30(2): 131–141. [DOI] [PubMed] [Google Scholar]
  • 9. Klinger G, Levy I, Sirota L, et al. ; Israel Neonatal Network (2009) Epidemiology and risk factors for early onset sepsis among very-low-birthweight infants. American Journal of Obstetrics and Gynecology 201(1):38.e31-e36. [DOI] [PubMed] [Google Scholar]
  • 10. Schrag SJ, Farley MM, Petit S, et al. (2016) Epidemiology of Invasive Early-Onset Neonatal Sepsis, 2005 to 2014. Pediatrics 138(6). pii: e20162013. [DOI] [PubMed] [Google Scholar]
  • 11. Strunk T, Doherty D, Jacques A, et al. (2012) Histologic chorioamnionitis is associated with reduced risk of late-onset sepsis in preterm infants. Pediatrics 129(1): e134–e141. [DOI] [PubMed] [Google Scholar]
  • 12. Bulkowstein S, Ben-Shimol S, Givon-Lavi N, et al. (2012) Comparison of early onset sepsis and community-acquired late onset sepsis in infants less than 3 months of age. BMC Pediatrics 16: 82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Dong Y, Speer CP. (2015) Late-onset neonatal sepsis: Recent developments. Archives of Disease in Childhood-Fetal and Neonatal Edition 100(3): F257–F263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Arias-Arellano S, Cáceres-Aucatoma F, Geyson D, et al. (2019) Risk factors associated with late-onset neonatal sepsis. Revista Médica del Instituto Mexicano del Seguro Social 57(4): 226–231. [PubMed] [Google Scholar]
  • 15. Li Z, Xiao Z, Li Z, et al. (2013) 116 cases of neonatal early-onset or late-onset sepsis: A single center retrospective analysis on pathogenic bacteria species distribution and antimicrobial susceptibility. International Journal of Clinical and Experimental Medicine 6(8): 693–699. [PMC free article] [PubMed] [Google Scholar]
  • 16. Huang W, Wang G, Sebra R, et al. (2017) Emergence and evolution of multidrug-resistant Klebsiella pneumoniae with both bla (KPC) and bla (CTX-M) integrated in the chromosome. Antimicrobial Agents and Chemotherapy 61(7). pii: e00076-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Navon-Venezia S, Kondratyeva K, Carattoli A. (2017) Klebsiella pneumoniae: A major worldwide source and shuttle for antibiotic resistance. FEMS Microbiology Reviews 41(3): 252–275. [DOI] [PubMed] [Google Scholar]
  • 18. Bassetti M, Righi E, Carnelutti A, et al. (2018) Multidrug-resistant Klebsiella pneumoniae: Challenges for treatment, prevention and infection control. Expert Review of Anti-Infective Therapy 16(10): 749–761. [DOI] [PubMed] [Google Scholar]
  • 19. Gray J, Arvelo W, McCracken J, et al. (2018) An outbreak of Klebsiella pneumoniae late-onset sepsis in a neonatal intensive care unit in Guatemala. American Journal of Infection Control 40(6): 516–520. [DOI] [PubMed] [Google Scholar]
  • 20. Yusef D, Shalakhti T, Awad S, et al. (2018) Clinical characteristics and epidemiology of sepsis in the neonatal intensive care unit in the era of multi-drug resistant organisms: A retrospective review. Pediatrics & Neonatology 59(1): 35–41. [DOI] [PubMed] [Google Scholar]
  • 21. Ding Y, Wang Y, Hsia Y, et al. (2019) Systematic review of carbapenem-resistant Enterobacteriaceae causing neonatal sepsis in China. Annals of Clinical Microbiology and Antimicrobials 18(1): 36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Mohsen L, Ramy N, Saied D, et al. (2017) Emerging antimicrobial resistance in early and late-onset neonatal sepsis. Antimicrobial Resistance & Infection Control 6: 63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Khaertynov KS, Boichuk SV, Khaiboullina SF, et al. (2017) Comparative assessment of cytokine pattern in early and late onset of neonatal sepsis. Journal of Immunology Research 2017: 8601063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Magiorakos AP, Srinivasan A, Carey RB, et al. (2012) Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: An international expert proposal for interim standard definitions for acquired resistance. Clinical Microbiology and Infection 18(3): 268–281. [DOI] [PubMed] [Google Scholar]
  • 25. De Luca D, van Kaam AH, Tingay DG, et al. (2017) The Montreux definition of neonatal ARDS: Biological and clinical background behind the description of a new entity. The Lancet Respiratory Medicine 5(8): 657–666. [DOI] [PubMed] [Google Scholar]
  • 26. Thompson-Branch A, Havranek T. (2017) Neonatal hypoglycemia. Pediatrics in Review 38(4): 147–157. [DOI] [PubMed] [Google Scholar]
  • 27. Principi N, Di Pietro GM, Esposito S. (2018) Bronchopulmonary dysplasia: Clinical aspects and preventive and therapeutic strategies. Journal of Translational Medicine 16(1): 36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Ballabh P. (2010) Intraventricular hemorrhage (IVH) in premature infants: Mechanism of disease. Pediatric Research 67(1): 1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Stoll BJ, Hansen NI, Sánchez PJ, et al. (2011) Early onset neonatal sepsis: The burden of group B Streptococcal and E. coli disease continues. Pediatrics 127(5): 817–826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Hornik CP, Fort P, Clark RH, et al. (2012) Early and late onset sepsis in very-low-birth-weight infants from a large group of neonatal intensive care units. Early Human Development 88(Suppl. 2): S69–S74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Pramanik AK, Rangaswamy N, Gates T. (2015) Neonatal respiratory distress: A practical approach to its diagnosis and management. Pediatric Clinics of North America 62(2): 453–469. [DOI] [PubMed] [Google Scholar]
  • 32. Li S, Zhao D, Cui J, et al. (2020) Prevalence, potential risk factors and mortality rates of acute respiratory distress syndrome in Chinese patients with sepsis. Journal of International Medical Research 48(2): 300060519895659. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Mikkelsen ME, Shah CV, Meyer NJ, et al. (2013) The epidemiology of acute respiratory distress syndrome in patients presenting to the emergency department with severe sepsis. Shock 40(5): 375–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. De Freitas Caires N, Gaudet A, Portier L, et al. (2018) Endocan, sepsis, pneumonia, and acute respiratory distress syndrome. Critical Care 22(1): 280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Orwoll BE, Sapru A. (2016) Biomarkers in pediatric ARDS: Future directions. Frontiers in Pediatrics 4: 55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Wohlrab P, Kraft F, Tretter V, et al. (2018) Recent advances in understanding acute respiratory distress syndrome. F1000Research 7. pii: F1000 Faculty Rev-263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Timmons O. (2006) Infection in pediatric acute respiratory distress syndrome. Seminars in Pediatric Infectious Diseases 17(2): 65–71. [DOI] [PubMed] [Google Scholar]
  • 38. Dushianthan A, Cusack R, Goss V, et al. (2012) Clinical review: Exogenous surfactant therapy for acute lung injury/acute respiratory distress syndrome–where do we go from here? Critical Care 16(6): 238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Balany J, Bhandari V. (2015) Understanding the impact of infection, inflammation, and their persistence in the pathogenesis of bronchopulmonary dysplasia. Frontiers in Medicine 2: 90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Shah J, Jefferies AL, Yoon EW, et al. ; Canadian Neonatal Network (2015) Risk factors and outcomes of late-onset bacterial sepsis in preterm neonates born at < 32 weeks’ gestation. American Journal of Perinatology 32(7): 675–682. [DOI] [PubMed] [Google Scholar]
  • 41. Jung E, Lee BS. (2019) Late-onset sepsis as a risk factor for bronchopulmonary dysplasia in extremely low birth weight infants: A nationwide cohort study. Scientific Reports 9(1): 15448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Oh KJ, Park JY, Lee J, et al. (2018) The combined exposure to intra-amniotic inflammation and neonatal respiratory distress syndrome increases the risk of intraventricular hemorrhage in preterm neonates. Journal of Perinatal Medicine 46(1): 9–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Borer A, Saidel-Odes L, Eskira S, et al. (2012) Risk factors for developing clinical infection with carbapenem-resistant Klebsiella pneumoniae in hospital patients initially only colonized with carbapenem-resistant K pneumoniae. American Journal of Infection Control 40(5): 421–425. [DOI] [PubMed] [Google Scholar]
  • 44. Fernández Jonusas S, Brener Dik P, Mariani G, et al. (2011) Nosocomial infections in a neonatal unit: Surveillance program. Archivos Argentinos de Pediatria 109(5): 398–405. [DOI] [PubMed] [Google Scholar]
  • 45. Girmenia C, Rossolini GM, Piciocchi A, et al. (2015) Infections by carbapenem-resistant Klebsiella pneumoniae in SCT recipients: A nationwide retrospective survey from Italy. Bone Marrow Transplantation 50(2): 282–288. [DOI] [PubMed] [Google Scholar]
  • 46. Tsai MH, Chu SM, Hsu JF, et al. (2014) Risk factors and outcomes for multidrug-resistant Gram-negative bacteremia in the NICU. Pediatrics 133(2): e322–e329. [DOI] [PubMed] [Google Scholar]
  • 47. Wu D, Cai J, Liu J. (2011) Risk factors for the acquisition of nosocomial infection with carbapenem-resistant Klebsiella pneumoniae. Southern Medical Journal 104(2): 106–110. [DOI] [PubMed] [Google Scholar]
  • 48. Muller-Pebody B, Johnson AP, Heath PT, et al. (2011). Empirical treatment of neonatal sepsis: Are the current guidelines adequate? Archives of Disease in Childhood-Fetal and Neonatal Edition 96(1): F4–F8. [DOI] [PubMed] [Google Scholar]
  • 49. Li JY, Chen SQ, Yan YY, et al. (2018) Identification and antimicrobial resistance of pathogens in neonatal septicemia in China-a meta-analysis. International Journal of Infectious Diseases 71: 89–93. [DOI] [PubMed] [Google Scholar]
  • 50. Zhang R, Liu L, Zhou H, et al. (2018) Nationwide Surveillance of Clinical Carbapenem-resistant Entero-bacteriaceae (CRE) Strains in China. EBioMedicine 19: 98–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Klein EY, Van Boeckel TP, Martinez EM, et al. (2018) Global increase and geographic convergence in antibiotic consumption between 2000 and 2015. Proceedings of the National Academy of Sciences of the United States of America 115(15): E3463–E3470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Ullah O, Khan A, Ambreen A, et al. (2018) Antibiotic sensitivity pattern of bacterial isolates of neonatal septicemia in Peshawar, Pakistan. Archives of Iranian Medicine 19(12): 866–869. [DOI] [PubMed] [Google Scholar]

Articles from International Journal of Immunopathology and Pharmacology are provided here courtesy of SAGE Publications

RESOURCES