Scales that detect noninvasive ventilation (NIV) failure need to have adequate clinimetric properties to be reliable. This study aimed to compare the clinimetric properties of the Heart rate, Acidosis, Consciousness, Oxygenation, Respiratory rate (HACOR) and updated HACOR scales when applied to hypoxemic adult patients undergoing NIV. Methods: This prospective study applied the HACOR and updated HACOR scales to hypoxemic patients after one hour of NIV in an emergency department setting. A second application of the scales was performed after ten minutes to assess reliability (intraclass correlation coefficient), measurement error (standard error of measurement and minimum detectable difference), ceiling and floor effects, convergent validity by correlation (Pearson’s r) with peripheral oximetry saturation (SpO2), and predictive validity (area under the receiver operating characteristic [ROC] curve) for the outcome of needing invasive mechanical ventilation. Results: Sixty patients were included in this study (59.45±17.48 years; Simplified Acute Physiology Score III, 56.1±13.95; 30% with respiratory disease and 25% with cardiovascular disease). After 1 hour of NIV, patients had a HACOR score of 3 (interquartile range [IQR], 1.0–5.0) and an updated HACOR score of 5 (IQR, 3.0–8.87). Clinimetric properties were adequate for both versions of the HACOR scale but were superior for the updated version, including predictive validity (ROC [95% CI], 0.78 [0.64–0.91] vs. 0.73 [0.57–0.89]) and the absence of the ceiling effect. Conclusions: Both versions of the HACOR scale demonstrated adequate clinimetric properties for predicting NIV failure, with the updated HACOR version showing superior predictive validity and no ceiling effect compared with the original version.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Objectives: Conservative treatment for distal radius fractures typically involves closed reduction and immobilization with a plaster cast. However, no consensus exists regarding the best method and duration for immobilization. This study investigated the functional outcomes associated with different plaster cast application techniques in the treatment of stable distal radius fractures. Methods: A systematic search was performed in accordance with PRISMA guidelines for studies in the last 5 years. The inclusion criteria were randomized controlled trials that investigated non-operative treatments for distal radius fractures. We excluded studies with short-term follow-up (less than 3 months), ongoing trials, those that did not directly address fractures, and studies involving the use of sugar-tong splints or non-circular immobilization. The outcomes evaluated included subjective measures (Disabilities of the Arm, Shoulder and Hand score; Patient-Rated Wrist Evaluation score; Mayo Wrist Score; and visual analog scale) and objective outcomes (complication rate and radiological parameters). Results: We included seven articles from 2017 to 2022. These studies reported a total of 542 fractures, predominantly in women, with a mean age of over 50 years. Both short and long arm casts demonstrated similar functional and radiological outcomes. A longer immobilization period (>3 weeks) should be considered to prevent re-displacement. Conclusion In stable fractures treated conservatively, the use of both short and long arm casts resulted in comparable functional outcomes in older patients. Immobilization for at least 3 weeks is recommended, as it provided similar clinical and radiological outcomes compared to longer periods of immobilization (level of evidence: 2A).

Background: Intrinsic capacity (IC) is defined as "all the physical and mental attributes possessed by the older person." This concept has gained momentum in recent years because it provides insights into the changes in the functional capacity of individuals during their life. This study examined common factors associated with IC decline among older adults in Mexico and Colombia. Methods: This cross-sectional, correlational study included 348 community-dwelling older adults. Sociodemographic, clinical, and family conditions were assessed as possible associated factors, and IC was analyzed across five domains: cognitive, locomotor, psychological, vitality (malnutrition through deficiency and excess), and sensory (visual and auditory). Parametric and non-parametric statistical analyses were performed. Results: The common factors associated with impairment according to domain were family dysfunctionality (cognitive domain); myocardial infarction, family dysfunctionality, age >80 years, home occupation, and not having a partner (locomotor domain); dysfunctional family and risk of falls (psychological domain); age >80 years and not having a partner (malnutrition by deficiency domain); age 60–79 years, walking <7,500 steps/day, and peripheral vascular disease (malnutrition by excess domain); risk of falling and being female (visual sensory domain); risk of falling (auditory sensory domain); and dysfunctional family and risk of falling (total intrinsic capacity). Conclusion Both populations had common sociodemographic, clinical, and familial factors that directly affected total IC stocks and their domains.