Objective We aimed to investigate the effect of targeted therapies on cardiovascular risk in psoriasis (PsO) and psoriatic arthritis (PsA) via a meta‐analysis of randomized controlled trials (RCTs). Methods Pubmed, Embase, Cochrane Library, and Scopus were searched for RCTs reporting targeted therapies in patients with PsO/PsA published until 28 October 2021. The primary and secondary outcomes included the relationship between targeted therapies and all cardiovascular events (CVEs), major adverse cardiovascular events (MACEs), myocardial infarction (MI), heart failure, and stroke in PsO/PsA. The outcome risk ratios (RRs) were calculated using the Mantel–Haenszel fixed‐effect method. Results A total of 81 articles involving 88 RCTs were included. There was no statistically significant difference regarding the occurrence of all CVEs for all targeted therapies (RR = 1.03, 95% CI 0.74‐1.43, P = .85) compared to placebo in PsO/PsA. No statistically significant difference existed between drugs and placebo in patients with PsA on all CVEs (RR = 0.81, 95% CI 0.48‐1.36, P = .43). Surprisingly, the incidence of all CVEs was higher in the low dosage group compared to the high dosage group of all targeted therapies (RR = 1.97, 95% CI 1.19‐3.27, P = .008) and prominently anti‐interleukin‐17 agent (RR = 2.20, 95% CI 1.05‐4.58, P = .04). Conclusion Current targeted therapies are not associated with the risk of CVEs. Based on the existing evidence, we reported here that a dosage reduction of targeted therapies was not recommended.
Aims: Diabetes is associated with poor coronavirus disease 2019 (COVID-19) outcomes. However, little is known on the impact of undiagnosed diabetes in the COVID-19 population. We investigated whether diabetes, particularly undiagnosed diabetes, was associated with an increased risk of death from COVID-19.Methods: This retrospective study identified adult patients with COVID-19 admitted to Tongji Hospital (Wuhan) from January 28 to April 4, 2020. Diabetes was determined using patients’ past history (diagnosed) or was newly defined if the hemoglobin A1c (HbA1c) level at admission was 6.5% (≥ 48 mmol/mol) (undiagnosed). The in-hospital mortality rate and survival probability were compared between the non-diabetes and diabetes (overall, diagnosed, and undiagnosed diabetes) groups. Risk factors of mortality were explored using Cox regression analysis. Results: Of 373 patients, 233 were included in the final analysis, among whom 80 (34.3%) had diabetes: 44 (55.0%) reported a diabetes history, and 36 (45.0%) were newly defined as having undiagnosed diabetes by HbA1c testing at admission. Compared with the non-diabetes group, the overall diabetes group had a significantly increased mortality rate (22.5% vs 5.9%, p <0.001). Moreover, the overall, diagnosed, and undiagnosed diabetes groups displayed lower survival probability in the Kaplan-Meier survival analysis (all p <0.01). Using multivariate Cox regression, diabetes, age, quick sequential organ failure assessment score, and D-dimer ≥ 1.0 mg/mL were identified as independent risk factors for in-hospital death in patients with COVID-19.Conclusions: The prevalence of undiagnosed pre-existing diabetes among patients with COVID-19 is high in China. Diabetes, even newly defined by HbA1c testing at admission, is associated with increased mortality in patients with COVID-19. Screening for undiagnosed diabetes by HbA1c measurement should be considered in adult Chinese inpatients with COVID-19.
Aims Takotsubo syndrome (TTS) is an acute reversible cardiac dysfunction that may occur during the peri‐operative period and among patients with serious illness. We aimed to evaluate the clinical characteristics, peri‐operative management, and prognosis of peri‐operative TTS (pTTS) and explore the factors associated with pTTS. Methods We conducted a retrospective nested case–control study using the database of patients who underwent in‐hospital non‐cardiac surgeries between January 2017 and December 2020 in Peking University Third hospital. Cases were adult patients diagnosed TTS at discharge who were matched with four controls based on operative types. Multivariable conditional logistic regression was used to identified the factors associated with pTTS. The area under the curve (AUC) was used to evaluate the diagnostic efficacy. Results Among the 128 536 patients underwent non‐cardiac surgery, 20 patients with pTTS and 80 patients without were enrolled in this study. The incidence of pTTS was about 0.016% in our centre. The median age of patients with pTTS was 52.5 (38.25, 76.25) years, although 90% of them were female. Fifty per cent (9 cases) of female patients were pre‐menopausal. Caesarean section has the highest proportion of pTTS (30% of the pTTS cases) with the incidence of caesarean section‐related pTTS of 0.06% in our centre. A high prevalence of non‐apical ballooning pattern of regional wall motion abnormality (seven cases, 35%) and a high mortality (two cases, 10%) were observed. Left ventricular ejection fraction (LVEF) of patients with pTTS was significantly decreased (41.7 ± 8.8%). In the acute phase, supportive treatments aiming to reduce life‐threatening complications were main treatment strategies. After receiving systematic treatment, significant improvements were observed in LVEF (63.1 ± 13.5%), with median recovery time of LVEF of 7.48 days. Leucocyte count [odds ratio (OR): 4.59; 95% confidence interval (CI): 1.10–19.15], haemoglobin (HGB) (OR: 10.52; 95% CI: 1.04–106.36), and the revised cardiac risk index (RCRI) score (OR: 6.30; 95% CI: 1.05–37.88) were the factors significantly associated with pTTS. The RCRI score performed poorly in the prediction of pTTS (AUC: 0.630; 95% CI: 0.525–0.735). After adding leucocyte count and HGB into the RCRI score, the AUC was significantly improved (AUC: 0.768; 95% CI: 0.671–0.865; P = 0.001). Conclusions Patients with pTTS have some differences compared with common TTS, including higher proportion of pre‐menopausal female, higher prevalence during caesarean section, higher prevalence of non‐apical ballooning pattern of regional wall motion abnormality, and higher mortality. The RCRI score performed poorly in the evaluation of pTTS. Adding HGB and leucocyte count into the RCRI score could significantly improve its predictive performance.
BackgroundMajor adverse cardiovascular events (MACEs) represent a significant reason of morbidity and mortality in non-cardiac surgery during perioperative period. The prevention of perioperative MACEs has always been one of the hotspots in the research field. Current existing models have not been validated in Chinese population, and have become increasingly unable to adapt to current clinical needs.ObjectivesTo establish and validate several simple bedside tools for predicting MACEs during perioperative period of non-cardiac surgery in Chinese hospitalized patients.DesignWe used a nested case-control study to establish our prediction models. A nomogram along with a risk score were developed using logistic regression analysis. An internal cohort was used to evaluate the performance of discrimination and calibration of these predictive models including the revised cardiac risk index (RCRI) score recommended by current guidelines.SettingPeking University Third Hospital between January 2010 and December 2020.PatientsTwo hundred and fifty three patients with MACEs and 1,012 patients without were included in the training set from January 2010 to December 2019 while 38,897 patients were included in the validation set from January 2020 and December 2020, of whom 112 patients had MACEs.Main Outcome MeasuresThe MACEs included the composite outcomes of cardiac death, non-fatal myocardial infarction, non-fatal congestive cardiac failure or hemodynamically significant ventricular arrhythmia, and Takotsubo cardiomyopathy.ResultsSeven predictors, including Hemoglobin, CARDIAC diseases, Aspartate aminotransferase (AST), high Blood pressure, Leukocyte count, general Anesthesia, and Diabetes mellitus (HASBLAD), were selected in the final model. The nomogram and HASBLAD score all achieved satisfactory prediction performance in the training set (C statistic, 0.781 vs. 0.768) and the validation set (C statistic, 0.865 vs. 0.843). Good calibration was observed for the probability of MACEs in the training set and the validation set. The two predictive models both had excellent discrimination that performed better than RCRI in the validation set (C statistic, 0.660, P < 0.05 vs. nomogram and HASBLAD score).ConclusionThe nomogram and HASBLAD score could be useful bedside tools for predicting perioperative MACEs of non-cardiac surgery in Chinese hospitalized patients.
Background: The Italian Spine Youth Quality of Life (ISYQOL) questionnaire is a tool used to evaluate health-related quality of life in adolescents with Idiopathic Scoliosis. The study aimed to undertake the process of cultural adaptation of the ISYQOL questionnaire into Simplified Chinese. Methods: The translation from Italian into Simplified Chinese was performed. It involved 138 adolescents whose Cobb angle ranged between 20-40 degrees, 50 wearing the brace and 88 not wearing the brace. Statistical analysis calculated the reliability, floor and ceiling effects of the ISYQOL. After that, construct validity was measured by analyzing the ISYQOL relationship Scoliosis Research Society-22 patient Questionnaire (SRS-22). Results: There were no floor or ceiling effects in ISYQOL questionnaire. Cronbach’s alpha coefficient evaluated for Internal consistency was 0.75 without the brace and 0.88 with the brace. Intraclass correlation coefficients assessed with the use of the test-retest method was 0.72 without the brace and 0.80 with the brace. A strong relationship exists between the ISYQOL measure and SRS-22 scores (rho=0.63; p< 0.01), reflecting the high validity of the questionnaires. Both ISYQOL and SRS-22 scores showed no statistical difference between groups with and without the brace (p>0.05). Conclusions: Trans-cultural validation in Chinses language showed the reliability and validity of the ISYQOL
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