Analysis of High-Risk Factors Associated with the Progression of Subaneurysmal Aorta to Abdominal Aortic Aneurysm in Rural Area in China.

OBJECTIVE: To determine the risk factors associated with the progress of subaneurysmal aorta (SAA) to abdominal aortic aneurysm (AAA) and provide a reference for the prevention of AAA in rural areas. METHODS: A total of 747 SAA patients screened by the Health Management Center of the Second Hospital of Lanzhou University from January 2015 to January 2016 were recruited. The ratio of SAA progressing to AAA was observed through 5 years of follow-up. Logistic stepwise regression analysis was performed to analyze the high-risk factors. The relevant clinical prediction model score table (Nom) was made and the C-index and calibration chart were used to verify the prediction ability of the model. RESULTS: Of the 747 patients diagnosed with SAA, 260 developed to AAA, with an incidence of 34.8%. Univariate analysis showed that age (62-65 years old), abdominal aorta diameter greater than 2.7 cm, smoking after 30 years old, moderate to severe hypertension, and blood pressure variability were the important high-risk factors of SAA progressing to AAA. Logistic regression analysis showed that these factors were statistically significant. The nomogram of clinical prediction model score showed that when 50-60% of SAA developed to AAA, the score was 189-201 and the C-index was 0.883, verifying the moderate predictive ability of this model. CONCLUSION: Age, smoking habit, degree of hypertension, and control situation were high-risk factors associated with the progression of SAA to AAA. The control of the above high-risk factors was imperative for the prevention of AAA in rural areas without sufficient medical resources.

The value of ultrasound for detecting hand fractures: A meta-analysis.

BACKGROUNDS: Hand fractures are the second most common upper-extremity fractures. The standard X-ray has shortcomings, such as exposure to radiation. Ultrasound has been reported as an alternative method of detecting hand fractures. In this study, we used meta-analysis to assess the diagnostic value of ultrasound for hand fractures. METHODS: Web of Science, PubMed, Embase, and Cochrane Library databases were searched for relative citations up to June 2019. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), area under the summary receiver operating characteristic curve (AUC), and summary receiver operating characteristic (SROC) curve were estimated. RESULTS: Seven studies including 842 participants (845 examined hands) met our inclusion criteria. The pooled sensitivity, specificity, PLR, and NLR of ultrasound for detecting hand fractures were 91%, 96%, 20.66, and 0.09, respectively. The pooled DOR was 231.17, indicating a very powerful diagnostic ability of ultrasound. Meta-regression showed that there was no heterogeneity with respect to age, cut-off, the performer of the ultrasound, and the types of hand fractures. CONCLUSIONS: Our results showed that ultrasound had an excellent diagnostic value for hand fractures. In clinic, we proposed using ultrasound as a first-line and radiation-free modality in detecting hand fractures, including phalanx and metacarpal fractures.