Prevalence and Etiology of Community- and Hospital-Acquired Pneumonia in Saudi Arabia and Their Antimicrobial Susceptibility Patterns: A Systematic Review
Bibliographic record
Abstract
(1) Background and Objectives: Pneumonia is a major cause of morbidity and mortality worldwide, including in Saudi Arabia, and the prevalence and etiology of the disease varies depending on the setting. The development of effective strategies can help reduce the adverse impact of this disease. Therefore, this systematic review was conducted to explore the prevalence and etiology of community-acquired and hospital-acquired pneumonia in Saudi Arabia, as well as their antimicrobial susceptibility. (2) Materials and Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 recommendations were followed for this systematic review. Several databases were used to perform a thorough literature search, and papers were then assessed for eligibility by two independent reviewers. The Newcastle-Ottawa Scale (NOS) was used to extract the data from the relevant research and evaluate its quality. (3) Results: This systematic review included 28 studies that highlighted the fact that gram-negative bacteria, particularly Acinetobacter spp. and Pseudomonas aeruginosa, were the common cause of hospital-acquired pneumonia, while Staphylococcus aureus and Streptococcus spp. were responsible for community-acquired pneumonia in children. The study also found that bacterial isolates responsible for pneumonia showed high resistance rates against several antibiotics, including cephalosporins and carbapenems. (4) Conclusions: In conclusion, the study found that different bacteria are responsible for community- and hospital-acquired pneumonia in Saudi Arabia. Antibiotic resistance rates were high for several commonly used antibiotics, highlighting the need for rational antibiotic use to prevent further resistance. Moreover, there is a need to conduct more regular multicenter studies to assess etiology, resistance, and susceptibility patterns of pneumonia-causing pathogens in Saudi Arabia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".