ObjectiveTo evaluate the value of parathyroid hormone (PTH) in predicting hypocalcemia at different time after thyroidectomy. MethodsThe literatures in CBM, WanFang, CNKI, VIP in Chinese, and OVID, PUBMED, EMBASE, and MEDLINE in English were searched. Hand searches and additional searches were also conducted. The studies of predicting hypocalcemia after thyroidectomy by detecting postoperative PTH at different time were selected, and the quality and tested the heterogeneity of included articles were assessed. Then the proper effect model to calculate pooled weighted sensitivity (SEN), specificity (SPE), positive likelihood ratio (LR+), and negative likelihood ratio (LR-) were selected. The summary receiver operating characteristic (SROC) curve was performed and the area under the curve (AUC) was computed. ResultsTwenty-three articles entered this systematic review, 21 articles were English and 2 articles were Chinese. Fifteen of 23 articles were designed to be prospective cohort study (PC) and 8 of 23 articles were retrospective study (Retro). These articles were divided into two groups. Group 1 was the studies of detecting postoperative PTH in 1 hour, which included 2 012 cases (494 of them occurred hypocalcemia). Group 2 was the studies of detecting postoperative PTH between 4-12 hours, which included 693 cases (266 of them occurred hypocalcemia). The publication bias of 2 groups were smaller that founded through the literature funnel. Meta analysis showed that in addition to merge SEN, between the 2 groups with merge SPE, LR+, LR-, and AUC differences were statistically significant (P < 0.01);the forecast effect of group 1 was better than group 2, and the AUC was the largest area when the PTH value in 1 hour after operation was below 16 ng/L. ConclusionDetection of postoperative PTH value is an effective method for predicting postoperative hypocalcemia. The 1 hour after operation for detecting PTH value below 16 ng/L to predict postoperative hypocalcemia have the best effect.
ObjectiveTo explore the long-term seizure outcome and prognostic factors of patients with frontal lobe epilepsy after surgery, so as to guide the evaluation of treatment and provide clinical reference.Methods This study retrospectively analyzed the clinical data of patients with frontal lobe epilepsy undergoing surgical treatment by multimodal epilepsy surgical evaluation system in the functional neurosurgery of the Second Hospital of Lanzhou University from January 2016 to February 2020, there were 17 males and 13 females, the age of onset of epileptic seizures was (16.30±10.65) years, the age at the time of surgical treatment was (23.98±11.04) years, and the duration of seizures was (7.68±6.37) years. The multimodal epilepsy surgical evaluation system includes phase I non-invasive evaluation and phase II invasive evaluation. The collected research variables were analyzed by descriptive statistics and multivariate logistic regression analysis to evaluate the importance of each research variable to the prognosis of epilepsy surgery, and to determine the potential prognostic factors, so as to explore the epilepsy control situation of patients with frontal lobe epilepsy after surgery and the influence of each variable that may affect the prognosis of epilepsy on the prognosis.ResultsThe analysis of the clinical data of 30 patients with frontal lobe epilepsy showed that the good prognosis rate after FLE surgery (Engel I) was 70%, and the average follow-up was (29.9±14.1) months. The results of multivariate logistic regression analysis showed that the duration of epilepsy, the frequency of seizures, the presence or absence of stereotactic EEG (SEEG) monitoring, whether the lesion was completely removed, and whether acute postoperative seizures occurred were independent predictors of prognosis (P<0.05).ConclusionThis study found that the long duration of epilepsy, frequent seizures, and postoperative acute seizures are significantly related to poor prognosis. The application of SEEG and complete resection of epileptic lesions can significantly improve the prognosis of FLE surgery.
ObjectiveTo systematically review the predictive factors of new-onset conduction abnormalities(NOCAs) after transcatheter aortic valve replacement (TAVR) in bicuspid aortic valve (BAV) patients. MethodsThe CNKI, VIP, WanFang Data, PubMed, Cochrane Library and EMbase databases were electronically searched to collect the relevant studies on NOCAs after TAVR in patients with BAV from inception to December 5, 2022. Two researchers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed by using RevMan 5.4 software. ResultsSix studies involving 758 patients with BAV were included. The results of the meta-analysis showed that age (MD=−1.48, 95%CI −2.73 to −0.23, P=0.02), chronic kidney disease (OR=0.14, 95%CI 0.06 to 0.34, P<0.01), preoperative left bundle branch block (LBBB) (OR=2.84, 95%CI 1.11 to 7.23, P=0.03), membranous septum length (MSL) (MD=0.93, 95%CI 0.05 to 1.80, P=0.04), implantation depth (ID) (MD=−2.06, 95%CI −2.96 to −1.16, P<0.01), the difference between MSL and ID (MD=3.05, 95%CI 1.92 to 4.18, P<0.01), and ID>MSL (OR=0.27, 95%CI 0.15 to 0.49, P<0.01) could be used as predictors of NOCAs. ConclusionCurrent evidence shows that age, chronic kidney disease, LBBB, MS, ID, the difference between MSL and ID, and ID>MSL could be used as predictors of NOCAs. Due to the limited quantity and quality of included studies, more high-quality studies are required to verify the above conclusion.