scholarly journals Bacteriological profile and antibiotic resistance in newborn infants with possible community-acquired neonatal sepsis in Khartoum State, Sudan

2021 ◽  
pp. 13-22
Author(s):  
Osama Braima ◽  
Manal Ali ◽  
Enas Abdulla
Keyword(s):  
Antibiotic Resistance ◽  
Neonatal Sepsis ◽  
Newborn Infants ◽  
Bacteriological Profile

scholarly journals Bacteriological profile and sensitivity pattern of neonatal sepsis

2017 ◽  
Vol 8 (1) ◽  
pp. 174-177
Author(s):  
Rowshan Jahan Akhter ◽  
Md Mahbubul Hoque ◽  
BH Nazma Yasmeen ◽  
MAK Azad Chowdhury
Keyword(s):  
Antibiotic Resistance ◽  
Neonatal Sepsis ◽  
Antibiotic Sensitivity ◽  
Neonatal Morbidity ◽  
Diffusion Method ◽  
Bacteriological Profile ◽  
Sensitivity Pattern ◽  
Haematological Profile ◽  
Resistance Patterns ◽  
Antibiotic Resistance Patterns

Introduction : Neonatal sepsis remains an important cause of neonatal morbidity and mortality in NICU setup and a major challenge for the neonatologists. The prevalent organisms and their antibiotic resistance patterns evolve with time and with the usage of antimicrobials.Aims and Objectives : To analyze the bacteriological profile and antibiotic resistance patterns of proven neonatal sepsis cases in Dhaka Shishu Hospital.Materials and Methods : The study was Prospective observational study. All the clinically suspected cases of Neonatal Sepsis admitted to the Neonatal word from January 2015 to December 2015 were included in the study. Clinically suspected cases of neonatal sepsis further evaluated with blood cultures and antibiotic susceptibility testing using the Kirby Bauer disc diffusion method. Data was collected for the following variables: Demographic profile, haematological profile, blood culture result and antibiotic sensitivity patterns.Results : Total 96 cases clinically suspected neonatal sepsis were included in the study. Among them 29 cases (30.21%) was culture positive septicemia. Klebsiella pneumoniae was the most common isolate accounting for 31.03% cases followed by Escherichia coli 27.59%. In Klebsiella infection most common sensitivity were Imipenum and Ciprofloxacin which were 77.78 and 33.33% respectively. In E.coli common sensitive drugs were Imipenum and Amikacin. In serratia common sensitive drugs were Imipenum, Netlmicin and Ciprofloxacin.Conclusion : K. pneumoniae was the most common pathogen. Most common sensitivity was Imipenum, Amikacin, Ciprofloxacin, Gentamicin, Netlmicin, and Ceftazidime,.Northern International Medical College Journal Vol.8(1) July 2016: 174-177

scholarly journals The Relationship of Birth Weight Infant with Bacteriological Profile and Antibiotic Resistance of Neonatal Sepsis

2019 ◽  
Vol 7 (5) ◽  
Author(s):  
Nisrina Asysyifa ◽  
Husjain Djajaningrat ◽  
Diah Lestari
Keyword(s):  
Antibiotic Resistance ◽  
Birth Weight ◽  
Blood Culture ◽  
Low Birth Weight ◽  
Neonatal Sepsis ◽  
P Value ◽  
Klebsiella Pneumonia ◽  
Bacteriological Profile ◽  
Relationship Of ◽  
The Relationship

Neonatal sepsis is a major issue on neonatal-care field. This incident occurs by many factors, one of the factor is infant with a low birth weight. Blood culture is used as the gold standard for diagnosis. The spectrum of bacteria which caused neonatal sepsis is constantly change and vary due to antibiotic resistance phenomenon. This study aimed to determine the relationship of birth weight infant with bacteriological profile and antibiotic resistance of neonatal sepsis in RSAB Harapan Kita Jakarta. This study used observational method with cross sectional design and purposive sampling method which is analyzed by chisquare test. Medical record data and blood culture and antibiotic resistance test from all subjects in Januari until December 2018 were reviewed. The sample in this research is neonatal sepsis patients who met inclusion criteria were 51 patients. From 51 (55,43%) subjects, there were 39 (76,47%) neonatal sepsis in low birth weight infant. Klebsiella pneumonia spp (41,17%) and Staphylococcus epidermidis (19,60%) were the predominant pathogens. Amikacin (62,74%), and meropenem (50,98%) were the most susceptible antibiotic towards bacteria. Maximum resistance among organisms was seen in cefotaxime (84,31%), ceftazidime (78,43%), and amoxicillin (70,58%).  The result of the analysis found there is a relationship between birth weight infant and bacteriological profile (p-value = 0,035), but there is no relationship between birth weight infant and antibiotic resistance of neonatal sepsis (p-value =0,092; 0,066; and 0,521). There is a relationship between birth weight infant and bacteriological profile , but there is no relationship between birth weight infant and antibiotic resistance of neonatal sepsis.

scholarly journals Antimicrobial Resistance among Neonates with Bacterial Sepsis and Their Clinical Outcomes in a Tertiary Hospital in Kathmandu Valley, Nepal

2021 ◽  
Vol 6 (2) ◽  
pp. 56
Author(s):  
Bijendra Raj Raghubanshi ◽  
Karuna D. Sagili ◽  
Wai Wai Han ◽  
Henish Shakya ◽  
Priyanka Shrestha ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Neonatal Sepsis ◽  
Bacterial Culture ◽  
Bacterial Species ◽  
Antibiotic Sensitivity ◽  
College Teaching ◽  
Hospital Treatment ◽  
Resistant Bacteria ◽  
Coagulase Negative Staphylococcus ◽  
Cross Sectional

Globally, antibiotic resistance in bacteria isolated from neonatal sepsis is increasing. In this cross-sectional study conducted at a medical college teaching hospital in Nepal, we assessed the antibiotic resistance levels in bacteria cultured from neonates with sepsis and their in-hospital treatment outcomes. We extracted data of neonates with sepsis admitted for in-patient care from June 2018 to December 2019 by reviewing hospital records of the neonatal intensive care unit and microbiology department. A total of 308 neonates with sepsis were admitted of which, blood bacterial culture antibiotic sensitivity reports were available for 298 neonates. Twenty neonates (7%) had bacteriologic culture-confirmed neonatal sepsis. The most common bacterial species isolated were Staphylococcus aureus (8), followed by coagulase-negative Staphylococcus (5). Most of these bacteria were resistant to at least one first-line antibiotic used to manage neonatal sepsis. Overall, there were 7 (2%) deaths among the 308 neonates (none of them from the bacterial culture-positive group), and 53 (17%) neonates had left the hospital against medical advice (LAMA). Improving hospital procedures to isolate bacteria in neonates with sepsis, undertaking measures to prevent the spread of antibiotic-resistant bacteria, and addressing LAMA’s reasons are urgently needed.

scholarly journals Bacteriological Profile and Antibiogram of Neonatal Sepsis

2021 ◽  
Vol 15 (3) ◽  
Author(s):  
Hira Liyakat ◽  
Mashal Khan ◽  
Neelum Tahirkheli ◽  
Bader -u Nisa ◽  
Muhammad Ashfaq
Keyword(s):  
Neonatal Sepsis ◽  
Bacteriological Profile

Evaluation of Microbiologic and Hematologic Parameters and E-Selectin as Early Predictors for Outcome of Neonatal Sepsis

2009 ◽  
Vol 133 (8) ◽  
pp. 1291-1296 ◽  
Author(s):  
Maysaa El Sayed Zaki ◽  
Hesham El Sayed
Keyword(s):  
Neonatal Sepsis ◽  
Neonatal Intensive Care ◽  
Newborn Infants ◽  
Prognostic Indicator ◽  
Diagnostic Value ◽  
Total Leukocyte Count ◽  
C Reactive Protein ◽  
Gram Negative ◽  
Reactive Protein ◽  
Early Predictors

Abstract Context.—Early diagnosis of neonatal sepsis is mandatory. Various markers are used to diagnose the condition. Objective.—To evaluate the diagnostic value of various clinical data and hematologic parameters, such as total leukocyte count, absolute neutrophil count, immature to total neutrophil ratio, and soluble E-selectin (sE-selectin) in identification and outcome of neonatal sepsis. Design.—Newborn infants with a clinical diagnosis of sepsis in the neonatal intensive care unit at Mansoura University Children's Hospital during the period between July 2007 and December 2007 were eligible for study. In addition, 30 healthy neonates were included in the study. Complete hematologic and microbiologic laboratory investigations were performed, and serum E-selectin was measured. Results.—Plasma sE-selectin levels were significantly higher (P < .001) in infected infants (mean [SD], 156.9 [77.0] ng/mL) than in noninfected (mean [SD], 88.8 [47.1] ng/mL) and healthy infants (mean [SD], 8.67 [3.74] ng/ mL). Infants with gram-negative sepsis had higher sE-selectin levels than did those with gram-positive sepsis (P = .04). C-reactive protein was the best laboratory test for diagnosis of neonatal sepsis, with an overall sensitivity and specificity of 86% and 97%, respectively. Performing sE-selectin with C-reactive protein or immature to total ratio tests increased the specificity, but reduced the sensitivity, of the tests for the determination of neonatal sepsis. Plasma sE-selectin levels were higher in nonsurvivors than in survivors (P = .01) and were higher in those with hemodynamic dysfunction than in those without hemodynamic dysfunction (P < .001). Conclusions.—We conclude that plasma sE-selectin levels are elevated in neonatal sepsis. Significant elevation was associated with gram-negative sepsis. Plasma sE-selectin had low diagnostic value when used alone or in combination with other tests; however, it can be used as a prognostic indicator for the outcome of neonatal sepsis.

scholarly journals nSeP: immune and metabolic biomarkers for early detection of neonatal sepsis—protocol for a prospective multicohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e050100
Author(s):  
Mallinath Chakraborty ◽  
Patrícia R S Rodrigues ◽  
W John Watkins ◽  
Angela Hayward ◽  
Alok Sharma ◽  
...  
Keyword(s):  
Research Ethics ◽  
Neonatal Sepsis ◽  
Large Scale ◽  
Late Onset ◽  
Newborn Infants ◽  
Ethics Committee ◽  
Suspected Sepsis ◽  
New Host ◽  
Research Ethics Committee ◽  
Study Results

IntroductionDiagnosing neonatal sepsis is heavily dependent on clinical phenotyping as culture-positive body fluid has poor sensitivity, and existing blood biomarkers have poor specificity.A combination of machine learning, statistical and deep pathway biology analyses led to the identification of a tripartite panel of biologically connected immune and metabolic markers that showed greater than 99% accuracy for detecting bacterial infection with 100% sensitivity. The cohort study described here is designed as a large-scale clinical validation of this previous work.Methods and analysisThis multicentre observational study will prospectively recruit a total of 1445 newborn infants (all gestations)—1084 with suspected early—or late-onset sepsis, and 361 controls—over 4 years. A small volume of whole blood will be collected from infants with suspected sepsis at the time of presentation. This sample will be used for integrated transcriptomic, lipidomic and targeted proteomics profiling. In addition, a subset of samples will be subjected to cellular phenotype and proteomic analyses. A second sample from the same patient will be collected at 24 hours, with an opportunistic sampling for stool culture. For control infants, only one set of blood and stool sample will be collected to coincide with clinical blood sampling. Along with detailed clinical information, blood and stool samples will be analysed and the information will be used to identify and validate the efficacy of immune-metabolic networks in the diagnosis of bacterial neonatal sepsis and to identify new host biomarkers for viral sepsis.Ethics and disseminationThe study has received research ethics committee approval from the Wales Research Ethics Committee 2 (reference 19/WA/0008) and operational approval from Health and Care Research Wales. Submission of study results for publication will involve making available all anonymised primary and processed data on public repository sites.Trial registration numberNCT03777670

scholarly journals Microbial profile of neonatal sepsis and antibiotic resistance from a tertiary care hospital in South India

2019 ◽  
Vol 6 (1) ◽  
pp. 57-60
Author(s):  
Kalaivani Ramakrishnan ◽  
◽  
Arunava Kali ◽  
Pravin Charles M. V ◽  
Sreenivasan Srirangaraj ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Neonatal Sepsis ◽  
South India ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Care Hospital ◽  
Microbial Profile
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