Therapeutic Effectiveness of Cefoperazone for Community-Acquired Pneumonia and Associated Factors in a Tertiary Care Hospital, Vietnam
Bibliographic record
Abstract
Purpose: This study aimed to (i) identify the pathogenic bacterial profile and Cefoperazone (CPZ) sensitivity; (ii) assess the therapeutic effectiveness of CPZ and (iii) determine factors associating with the treatment success. Patients and methods: The retrospective study was conducted in Kien Giang hospital, Vietnam. Sample size was 210 medical records of community-acquired pneumonia (CAP) patients admitted to the hospital from January to December 2018. The Chi square and Fisher’s exact test were used to determine factors associating with the treatment success such as age, gender, comorbidities, levels of CAP severity respiratory rate, PaO2, and laboratory findings of blood tests. Statistical significance was at level α = 0.05. Results: The main pathogenic bacteria were Klebsiella pneumoniae (29.1%), Streptococcus pneumoniae (26.7%) and Pseudomonas aeruginosa (14%), and were highly susceptible to CPZ. Mean duration of obtaining clinical stability was 3.01 days. The obtainment of clinical stability through CPZ monotherapy on the third, fifth and seventh day of treatment process accounted for 78.9%, 87.6% and 100% of total cases, respectively. CPZ achieved a highly successful rate in the monotherapy (79.07%) if the treatment was guided by antibiotic sensitivity testing results. The association between the treatment success and factors such as age, respiratory rate, and severity category of CAP were statistically significant (p<0.05). Conclusion: Minimizing CPZ resistance, and CPZ overuse during CAP therapy is necessary. The factors associating with the success of therapy are useful in predicting the prognosis of CAP patients, planning the sequential therapy, and determining hospital discharge.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".