Improved detection of microbiological pathogens: role of partner and non-governmental organizations

Abstract

Abstract Background Proper detection of disease-causing organisms is very critical in controlling the course of outbreaks and avoiding large-scale epidemics. Nonetheless, availability of resources to address these gaps have been difficult due to limited funding. This report sought to highlight the importance of in-country partners and non-governmental organizations in improving detection of microbiological organisms in Ghanaian Public Health Laboratories (PHLs). Methods/context This study was conducted between June, 2018 to August, 2019. U. S CDC engaged the Centre for Health Systems Strengthening (CfHSS) through the Association of Public Health Laboratories to design and implement strategies for strengthening three PHLs in Ghana. An assessment of the three PHLs was done using the WHO/CDS/CSR/ISR/2001.2 assessment tool. Based on findings from the assessments, partner organizations (CfHSS/APHL/CDC) serviced and procured microbiological equipment, laboratory reagents and logistics. CfHSS provided in-house mentoring and consultants to assist with capacity building in detection of epidemic-prone infectious pathogens by performing microbiological cultures and antimicrobial susceptibility tests. Results A total of 3902 samples were tested: blood (1107), urine (1742), stool (249) and cerebrospinal fluid (CSF) (804). All-inclusive, 593 pathogenic bacteria were isolated from blood cultures (70; 11.8%); urine cultures (356; 60%); stool cultures (19; 3.2%) and from CSF samples (148; 25%). The most predominant pathogens isolated from blood, urine and stool were Staphylococcus aureus (22/70; 31%), Escherichia coli (153/356; 43%) and Vibrio parahaemolyticus (5/19; 26.3%), respectively. In CSF samples, Streptococcus pneumoniae was the most frequent pathogen detected (80/148; 54.1%). New bacterial species such as Pastuerella pneumotropica, Klebsiella oxytoca, Vibrio parahaemolyticus, and Halfnia alvei were also identified with the aid of Analytical Profile Index (API) kits that were introduced as part of this implementation. Streptococcus pneumoniae and Neisseria meningitidis detections in CSF were highest during the hot dry season. Antimicrobial susceptibility test revealed high rate of S. aureus, K. pneumoniae and E. coli resistance to gentamicin (35–55%). In urine, E. coli was highly resistant to ciprofloxacin (39.2%) and ampicillin (34%). Conclusion Detection of epidemic-prone pathogens can be greatly improved if laboratory capacity is strengthened. In-country partner organizations are encouraged to support this move to ensure accurate diagnosis of diseases and correct antimicrobial testing.