Objective: To investigate the incidences of deep vein thrombosis (DVT) before and after operation in inpatients with hip fractures in both lower extremities. Patients and methods: We collected the clinical data of 463 patients with lower extremities fractures who presented at Xi’an Honghui Hospital between July 1, 2014, and October 31, 2016 and met all the inclusion criteria. Doppler ultrasonography was used to diagnose DVT. The patients were examined preoperatively and postoperatively and divided into the thrombosis and non-thrombosis group according to the ultrasonographic findings. We divided the DVT cases into central, peripheral, and mixed thromboses. Results: The incidence of preoperative DVT was 34.98%, and the prevalence of DVT on the uninjured side was 13.60%. This composition ratio increased to 57.23% postoperatively, and the prevalence of DVT on the uninjured side was 25.05%. Age (odds ratio [OR], 1.03; 95% CI: 1.01–1.04; P=0.002), venous thrombosis at admission (OR, 4.05; 95% CI, 2.30–7.13; P=0.000), and the days between the fracture and the operation (OR, 1.10; 95% CI, 1.02–1.20; P=0.020) were the independent risk factors of preoperative DVT. Coronary heart disease (OR, 1.85; 95% CI: 1.18–2.89; P=0.007), venous thrombosis at admission (OR, 22.35; 95% CI: 6.78–73.60; P=0.000), days between fracture and operation (OR, 1.06; 95% CI: 1.01–1.11; P=0.021), and blood loss (OR, 1.002; 95% CI: 1.000–1.003; P=0.014) were independent risk factors of postoperative DVT. Conclusion: The actual incidence of DVT after hip fracture may be underestimated. The incidences of preoperative and postoperative DVTs and the incidence of DVT on the uninjured limb were high.

This study aimed to investigate the incidence and risk factors for deep vein thrombosis (DVT) in patients with pelvic and acetabular fractures. Patients with pelvic or acetabular fractures were included. Demographic data, fracture classification, time to surgery, and d-dimer levels at admission and one day after surgical intervention were recorded. Duplex ultrasonography was performed in the lower extremities for DVT evaluation. All patients received mechanical and chemical thromboprophylaxis. One hundred ten patients with a mean age of 44.2 ± 13.8 years were included. There were 48 patients with pelvic fractures and 62 patients with acetabular fractures. Thirty-two (29.09%) patients sustained DVT; 21 (19.09%) patients exhibited proximal thrombosis, and 3 patients suffered pulmonary embolism. The incidence of DVT in patients with acetabular fractures was significantly higher than that of patients with pelvic fractures (χ² = 4.42, P = .04). The incidence of proximal DVT was significantly higher in patients with complex acetabular fractures than in patients with simple acetabular fractures (χ² = 6.65, P = .01). Multivariate analysis showed that age older than 60 years, associated injuries, and the time to surgery longer than 2 weeks were independent risk factors ( P < .05). Despite mechanical and chemical thromboprophylaxis, the risk of DVT in patients with pelvic and acetabular fractures is still very high, and most of the thromboses were localized proximally. The risk of DVT is higher in patients older than 60 years, in those with associated injuries, and when the time from injury to operation is more than 2 weeks.

Introduction: The causal association between non-alcoholic fatty liver disease (NAFLD) and osteoporosis remains controversial in previous epidemiological studies. We employed a bidirectional two-sample Mendelian analysis to explore the causal relationship between NAFLD and osteoporosis.Method: The NAFLD instrumental variables (IVs) were obtained from a large Genome-wide association study (GWAS) meta-analysis dataset of European descent. Two-sample Mendelian randomization (MR) analyses were used to estimate the causal effect of NAFLD on osteoporosis, fracture, and fall. Reverse Mendelian randomization analysis was conducted to estimate the causal effect of osteoporosis on NAFLD. The inverse-variance weighted (IVW) method was the primary analysis in this analysis. We used the MR-Egger method to determine horizontal pleiotropic. The heterogeneity effect of IVs was detected by MR-Egger and IVW analyses.Results: Five SNPs (rs2980854, rs429358, rs1040196, rs738409, and rs5764430) were chosen as IVs for NAFLD. In forward MR analysis, the IVW-random effect indicated the causal effect of NAFLD on osteoporosis (OR= 1.0021, 95% CI: 1.0006-1.0037, P= 0.007) but not on fracture (OR= 1.0016, 95% CI: 0.998-1.0053, P= 0.389) and fall (OR= 0.9912, 95% CI: 0.9412-1.0440, P= 0.740). Furthermore, the reverse Mendelian randomization did not support a causal effect of osteoporosis on NAFLD (OR= 1.0002, 95% CI: 0.9997-1.0007, P= 0.231). No horizontal pleiotropic was detected in all MR analyses.Conclusions: The results of this study indicate a causal association between NAFLD and osteoporosis. NAFLD patients have a higher risk of osteoporosis but not fracture and falling risk. In addition, our results do not support a causal effect of osteoporosis on NAFLD.

Objective: To dynamically observe the occurrence of deep vein thrombosis (DVT) after a hip fracture and analyze of the risk factors affecting the dynamic alteration of DVT. Methods: Data of patients with hip fractures from January 1, 2017 to August 31, 2021 were collected. Patients were divided into DVT and non-DVT groups according to their daily Doppler ultrasonography findings. Survival analysis was used to describe dynamic changes in DVT occurrence with time. Log-rank tests were used to compare the influence of individual factors of patients with DVT occurrence, and a Cox proportional hazards regression model was used to identify the risk factors affecting the dynamic alteration of DVT occurrence. Results: A total of 331 patients were included: 148(44.7%) had preoperative DVT, and 143 (96.6%) had DVT in the first 3days after admission. The probability of DVT was 0.42 on Day 1, 0.11 on Day 2, 0.10 on Day 3, 0.08 on Day 4, 0.20 on Day 5, and 0.00 on Day 6–7, with a median survival time of 3.30 d. Age>70 years, intertrochanteric fracture, admission hemoglobin<130g/L, and admission hematocrit<40% had a significantly higher occurrence rate of DVT. A hematocrit level of <40% (Hazard Ratio 2.079, 95% Confidence Interval:1.148–3.764, P = 0.016) was an independent risk factor for DVT. Conclusion: DVT after hip fractures mainly occurred in the first three days after admission, the trend was stabilized within one week, and day 1 had the highest rate of DVT incidence. Age, fracture type, HGB level, and Hct level affected dynamic occurrence of DVT. At constant other factors, Hct<40% was 2.079-fold incidence in the risk of preoperative DVT formation than those with Hct≥40% after hip fracture.

Objective: Coronavirus disease 2019 (COVID-19) is a global pandemic caused by the severe acute respiratory syndrome coronavirus 2. It has been reported that dyslipidemia is correlated with COVID-19, and blood lipids levels, including total cholesterol, HDL-C (high-density lipoprotein cholesterol), and LDL-C (low-density lipoprotein cholesterol) levels, were significantly associated with disease severity. However, the causalities of blood lipids on COVID-19 are not clear. Approach and Results: We performed 2-sample Mendelian randomization (MR) analyses to explore the causal effects of blood lipids on COVID-19 susceptibility and severity. Using the outcome data from the UK Biobank (1221 cases and 4117 controls), we observed potential positive causal effects of dyslipidemia (odds ratio [OR], 1.27 [95% CI, 1.08–1.49], P =3.18×10 ⁻³ ), total cholesterol (OR, 1.19 [95% CI, 1.07–1.32], P =8.54×10 ⁻⁴ ), and ApoB (apolipoprotein B; OR, 1.18 [95% CI, 1.07–1.29], P =1.01×10 ⁻³ ) on COVID-19 susceptibility after Bonferroni correction. In addition, the effects of total cholesterol (OR, 1.01 [95% CI, 1.00–1.02], P =2.29×10 ⁻² ) and ApoB (OR, 1.01 [95% CI, 1.00–1.02], P =2.22×10 ⁻² ) on COVID-19 susceptibility were also identified using outcome data from the host genetics initiative (14 134 cases and 1 284 876 controls). Conclusions: In conclusion, we found that higher total cholesterol and ApoB levels might increase the risk of COVID-19 infection. Graphic A graphic abstract is available for this article.