Topic: Topical nonsteroidal anti-inflammatory drugs (NSAIDs) for management of pain in patients after photorefractive keratectomy (PRK). Clinical Relevance: Pain after PRK is a major concern for both patients and surgeons. Although evidence supports the use of NSAIDs postoperatively, no consensus exists regarding the preferred regimen. The study aimed to compare the efficacy and safety of different topical NSAIDs. Methods: This study was prospectively registered with PROSPERO (ID: CRD42023417651). A systematic search of electronic databases was performed, for randomized controlled trials reporting topical NSAIDs' outcomes of corneal re-epithelization, rescue analgesics intake, and pain in days 0 to 3 after PRK (postoperative days [PODs] 0 to 3). Studies were graded for risk of bias. Data were extracted, and standardized mean differences (SMDs) were evaluated in a network meta-analysis in accordance with the Cochrane's guidelines, to which a frequentist approach model was fitted. Transitivity was assessed using the net split method. Treatment effectiveness was ranked using forest plots based on comparison with placebo. P-scores (P) and league tables were used to examine combined direct and indirect comparisons. Results: Of 1540 studies identified, 27 were included. These encompassed 2286 patients across 11 countries, evaluating 7 distinct topical NSAIDs. At POD0, ketorolac (P 0.764), flurbiprofen (P 0.763), and bromfenac (P 0.717) were the most efficient drugs overall and displayed significantly lower pain scores than placebo. Other than that, flurbiprofen held the highest rank for reported pain throughout, significantly outperforming placebo on POD1 (P 0.874, SMD −1.19, 95% CI −1.86 to −0.52), POD2 (P 0.882, SMD −1.05, 95% CI −1.82 to −0.27), and POD3 (P 0.939, SMD −1.14, 95% CI −2.1 to −0.18). Other NSAIDs were significantly better than placebo only on POD1 and POD0. Rescue analgesic intake analysis favored indomethacin (P 0.834, SMD −0.8, 95% CI −1.33 to −0.27), ketorolac, and diclofenac. Compared with placebo, re-epithelization was slowed to different significances with all NSAIDs but flurbiprofen (P 0.991, SMD −0.7, 95% CI −1.38 to −0.03). Conclusions: Flurbiprofen was favorable in pain scores on typically painful postoperative days and re-epithelization times. However, analgesics intake, a more objective outcome, suggested superiority of other NSAIDs. Inconsistencies may be explained by the small sample size. For clinical interpretation, NSAID effect sizes should be taken into consideration.

Background: Tension pneumothorax is one of the leading causes of preventable death on the battlefield. Current prehospital diagnosis relies on a subjective clinical impression complemented by a manual thoracic and respiratory examination. These techniques are not fully applicable in field conditions and on the battlefield, where situational and environmental factors may impair clinical capabilities. We aimed to assemble a device able to sample, analyze, and classify the unique acoustic signatures of pneumothorax and hemothorax. Methods: Acoustic data was obtained with simultaneous use of two sensitive digital stethoscopes from the chest wall of an ex-vivo porcine model. Twelve second samples of acoustic data were obtained from the in-house assembled digital stethoscope system during mechanical ventilation. The thoracic cavity was injected with increasing volumes of 200, 400, 600, 800, and 1000 ml of air or saline to simulate pneumothorax and hemothorax, respectively. The data was analyzed using a multi-objective genetic algorithm that was used to develop an optimal mathematical detector through the process of artificial evolution, a cutting-edge approach in the artificial intelligence discipline. Results: The in-house assembled dual digital stethoscope system and developed genetic algorithm achieved an accuracy, sensitivity and specificity ranging from 64 to 100%, 63 to 100%, and 63 to 100%, respectively, in classifying acoustic signal as associated with pneumothorax or hemothorax at fluid injection levels of 400 ml or more, and regardless of background noise. Conclusions: We present a novel, objective device for rapid diagnosis of potentially lethal thoracic injuries. With further optimization, such a device could provide real-time detection and monitoring of pneumothorax and hemothorax in battlefield conditions.