RESUMO
Pediatric heart surgery is a vital therapeutic option for congenital heart disease, which is one of the most prevalent causes of death in children. Arterial cannulation (AC) and central venous catheter (CVC) are required in pediatric cardiac surgery for continuous monitoring of the central venous pressure (CVP), replacement of fluid or blood products, close hemodynamic monitoring, and frequent sampling for arterial blood gases (ABG). A systematic review and meta-analysis synthesizing evidence from randomized controlled trials (RCTs) retrieved from PubMed, Embase Cochrane, Scopus, and WOS until February 2024. Risk ratio (RR) was used to report dichotomous outcomes, and mean difference (MD) was used to report continuous outcomes, both with a 95% confidence interval (CI) using the random-effects model. Thirteen RCTs with 1060 children were included. Regarding arterial cannulation, the ultrasound-guided technique (US) was associated with a statistically significant increase in successful cannulation [RR: 1.31 with 95% CI (1.10, 1.56), P < 0.0001], and first-attempt success [RR: 1.88 with 95% CI (1.35, 2.63), P < 0.0001]. However, US was not associated with any statistically significant difference in venous cannulation in both outcomes with [RR: 1.13 with 95% CI (0.98, 1.30), P = 0.10], [RR: 1.53 with 95% CI (0.86, 2.71), P = 0.15] respectively. Moreover, US was associated with a statistically significant decrease in the number of attempts either in arterial cannulation with [MD: - 0.73 with 95% CI (- 1.00, - 0.46), P < 0.0001] or in venous cannulation with [MD: - 1.34 with 95% CI (- 2.55, - 0.12), P = 0.03], and the time of attempted cannulation also either in arterial cannulation with [MD: - 2.27 with 95% CI (- 3.38, - 1.16), P < 0.0001] or in venous cannulation with [MD: - 4.13 with 95% CI (- 7.06, - 1.19), P < 0.0001]. US guidance improves successful cannulation rates and first-attempt success in arterial access and reduces the number of attempts and procedural time for arterial and venous access. It was also associated with a lower incidence of complications and procedure failure, particularly in arterial access. However, it was associated with a higher incidence of venous puncture.
RESUMO
Jeavons syndrome (JS), also known as epilepsy with eyelid myoclonia (EEM), is an idiopathic epileptic syndrome that primarily affects children. JS constitutes a significant portion of idiopathic generalized epilepsies and overall epileptic conditions and is characterized by frequent eyelid myoclonia. JS is often triggered by factors such as eyelid closure and exposure to light, leading to absence seizures with photoparoxysmal responses. Although previous studies indicate that some genes have demonstrated an association with the syndrome, no definitive causative gene has yet been identified. The current review therefore aims to shed emphasis on the potential value genetic testing holds in the context of EEM, as well as the need to investigate potential early diagnosis and management strategies in future research.
RESUMO
Early detection of suspicious pigmented skin lesions is crucial for improving the outcomes and survival rates of skin cancers. However, the accuracy of clinical diagnosis by primary care physicians (PCPs) is suboptimal, leading to unnecessary referrals and biopsies. In recent years, deep learning (DL) algorithms have shown promising results in the automated detection and classification of skin lesions. This systematic review and meta-analysis aimed to evaluate the diagnostic performance of DL algorithms for the detection of suspicious pigmented skin lesions in primary care settings. A comprehensive literature search was conducted using electronic databases, including PubMed, Scopus, IEEE Xplore, Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Science. Data from eligible studies were extracted, including study characteristics, sample size, algorithm type, sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and receiver operating characteristic curve analysis. Three studies were included. The results showed that DL algorithms had a high sensitivity (90%, 95% CI: 90-91%) and specificity (85%, 95% CI: 84-86%) for detecting suspicious pigmented skin lesions in primary care settings. Significant heterogeneity was observed in both sensitivity (p = 0.0062, I2 = 80.3%) and specificity (p < 0.001, I2 = 98.8%). The analysis of DOR and PLR further demonstrated the strong diagnostic performance of DL algorithms. The DOR was 26.39, indicating a strong overall diagnostic performance of DL algorithms. The PLR was 4.30, highlighting the ability of these algorithms to influence diagnostic outcomes positively. The NLR was 0.16, indicating that a negative test result decreased the odds of misdiagnosis. The area under the curve of DL algorithms was 0.95, indicating excellent discriminative ability in distinguishing between benign and malignant pigmented skin lesions. DL algorithms have the potential to significantly improve the detection of suspicious pigmented skin lesions in primary care settings. Our analysis showed that DL exhibited promising performance in the early detection of suspicious pigmented skin lesions. However, further studies are needed.