Severe acute respiratory infection surveillance in Montenegro, 2014-2017

An assessment of the index of rational drug prescribing for severe acute respiratory infections among hospitalised children in Northern Nigeria: a retrospective study

BACKGROUND

This study evaluated drug use pattern among hospitalized children with severe acute respiratory infection (SARI) in Nigeria.

RESEARCH DESIGN AND METHODS

A retrospective assessment of prescribed medicines for children aged 13 years and below who were admitted and treated for SARI from 1 January 2016 to 31 December 2018 was conducted. The WHO prescribing indicators and the Index of Rational Drug Prescribing were used to evaluate prescriptions.

RESULTS

A total of 259 patients were included, mostly diagnosed with bronchopneumonia (56%). A summary of WHO-core prescribing indicators showed the average number of drugs per encounter was 3.9, medicines prescribed by generic name was 82.1%, and an encounter with at least an antibiotic was 99.7%. The percentage of drugs prescribed from the Essential Medicine List for children was 79%. The most frequently prescribed pharmacological class of medicines was antibiotics (41.4%). Cephalosporins (40.0%), aminoglycosides (34.1%), and penicillins (21.5%) were the most commonly prescribed antibiotic classes. Gentamicin (34.1%) and cefuroxime (21.5%) were the most commonly prescribed antibiotics.

CONCLUSIONS

Drug prescribing for hospitalized children with SARI was suboptimal, especially with regard to polypharmacy, antibiotics, and injection use. Interventions to promote rational use of medicines including antimicrobial stewardship interventions are recommended.

Evaluation of the added value of viral genomic information for predicting severity of influenza infection

BACKGROUND

The severity of an influenza infection is influenced by both host and viral characteristics. This study aims to assess the relevance of viral genomic data for the prediction of severe influenza A(H3N2) infections among patients hospitalized for severe acute respiratory infection (SARI), in view of risk assessment and patient management.

METHODS

160 A(H3N2) influenza positive samples from the 2016-2017 season originating from the Belgian SARI surveillance were selected for whole genome sequencing. Predictor variables for severity were selected using a penalized elastic net logistic regression model from a combined host and genomic dataset, including patient information and nucleotide mutations identified in the viral genome. The goodness-of-fit of the model combining host and genomic data was compared using a likelihood-ratio test with the model including host data only. Internal validation of model discrimination was conducted by calculating the optimism-adjusted area under the Receiver Operating Characteristic curve (AUC) for both models.

RESULTS

The model including viral mutations in addition to the host characteristics had an improved fit ([Formula: see text]=12.03, df = 3, p = 0.007). The optimism-adjusted AUC increased from 0.671 to 0.732.

CONCLUSIONS

Adding genomic data (selected season-specific mutations in the viral genome) to the model containing host characteristics improved the prediction of severe influenza infection among hospitalized SARI patients, thereby offering the potential for translation into a prospective strategy to perform early season risk assessment or to guide individual patient management.

Comparison of viral and epidemiological profiles of hospitalized children with severe acute respiratory infection in Beijing and Shanghai, China

Background

No comparison data have been reported on viral and epidemiological profiles of hospitalized children with severe acute respiratory infection (SARI) in Beijing or Shanghai, China.

Methods

We collected 700 nasopharyngeal aspirates (NPA) from hospitalized children with SARI in Beijing (northern China) and Shanghai (southern China). Multiple respiratory viruses (including 15 common viruses) were screened by validated polymerase chain reaction (PCR) or real-time reverse transcription-PCR assays and confirmed by sequencing. Demographic data and the distribution of viral infections were also examined.

Results

Of 700 samples, 547 (78.1%) tested positive for viral infections. The picornaviruses (PIC), which included rhinovirus (RV) and enterovirus (EV), were the most common (34.0%), followed by respiratory syncytial virus (RSV) (28.3%), human bocavirus (HBoV) (19.1%), adenovirus (ADV) (13.7%), human coronaviruses (HCoV) (10.7%), influenza A and B (8.9%), parainfluenza virus (PIV 1–3) (7.9%), and human metapneumovirus (HMPV) (5.0%). PIC (RV/EV) and RSV were the most prevalent etiological agents of SARI in both cities. The total and age-matched prevalence of RSV, HCoV, and hMPV among SARI children under 5 years old were significantly higher in Beijing than in Shanghai. Different age and seasonal distribution patterns of the viral infections were found between Beijing and Shanghai.

Conclusions

Viral infection was tested and shown to be the most prevalent etiological agent among children with SARI in either the Beijing or the Shanghai area, while showing different patterns of viral and epidemiological profiles. Our findings provide a better understanding of the roles of geographic location and climate in respiratory viral infections in hospitalized children with SARI.