Objective To explore the effect of thyroid hormone on bone metabolism.Methods The thyroid in the rabbits had been cut off and the physics and histology of the bone in the rabbits were observed.The therapeutic effect of exterofection thyroid hormone was also observed.Results The lacking or reducing of thyroid hormone could lead to osteoporosis.The substitutive treatment of T_4 could partially inhibit the oesteopenia.Conclusion When the T_3 level equals to the level of T_4,the oesteopenia of the rabbits with thyroid being cut off may be caused by the lack of calcitonin.

Objective:To explore the role of first-aid network construction in the early treatment of patients with critically severe hydrofluoric acid burns.Methods:Twenty-seven fluorine chemical enterprises distributed in Zhejiang province, Jiangxi Province, Fujian Province, and Inner Mongolia Autonomous Region and 22 hospitals with burn/plastic department or professional burn treatment group in Zhejiang province, including Zhejiang Quhua Hospital, and 5 hospitals outside Zhejiang province were involved in the first-aid network construction as member units. As the main unit, Zhejiang Quhua Hospital was responsible for the daily maintenance and technical guidance of the first-aid network. Zhejiang Quhua Hospital was assigned as the designated emergency hospital for 20 fluorine chemical enterprises, a near emergency hospital to the other 7 fluorine chemical enterprises was assigned as the designated hospital for them. Medical records of 56 patients (all males) with critically severe hydrofluoric acid burns who admitted to 5 first-aid network hospitals from January 2006 to June 2021, meeting the inclusion criteria, were involved in the retrospective cohort study. Based on whether the enterprise belonging to the first-aid network construction or not, the patients were divided into first-aid network group (27 cases, aged (41±9) years) and non first-aid network group (29 cases, aged (42±10) years). After the patients in the first-aid network group were injured, the enterprises and hospitals linked up immediately. The hospital where the patient was treated mobilize the treatment force, equipment, materials, and drugs in advance by the first-aid network, thereby realizing seamless joint between pre-hospital first-aid and in-hospital treatment. The hospital started the first-aid process and temporarily mobilized the rescue forces, equipment, materials, and drug after patients in non first-aid network group arrived at the department of emergency of the hospital. The time from injury to medical service, the first detection time of serum calcium, the time staying in department of emergency, the duration of hypocalcemia and hypomagnesemia, and the treatment outcome of patients in the two groups were recorded. Data were statistically analyzed with chi-square test, Fisher's exact probability test, independent-sample t test, and Wilcoxon rank-sum test. Results:The time from injury to medical service, the first detection time of serum calcium, and the time staying in department of emergency of patients in first-aid network group were 40.0 (30.0, 55.0), 23.0 (17.5, 37.5), and 42.0 (37.0, 53.0) min, which were significantly shorter than 180.0 (120.0, 240.0), 31.0 (22.5, 47.5), 61.0 (52.0, 65.5) min in non first-aid network group ( Z=-6.17, -1.98, -4.15, P<0.05 or P<0.01). The duration of hypocalcemia and hypo- magnesemia of patients in first-aid network group were 1.2 (1.1, 1.6) and 1.9 (1.7, 2.1) h, which were significantly shorter than 4.6 (3.1, 6.2) and 3.2 (2.5, 4.6) h in non first-aid network group ( Z=-5.80, -4.81, P<0.01). Three patients (11.1%) in first-aid network group died, among whom 2 patients died at 40 min after injury and 1 patient died 9.0 h after injury. Four patients (13.8%) died in non first-aid network group at 3.0, 3.0, 4.5, and 7.0 h after injury, respectively. The mortality rates of patients in the two groups were similar ( P>0.05). Conclusions:Critically severe hydrofluoric acid burn is an extremely urgent situation encountered in clinical practice. The construction of a first-aid network creates condition for on-site treatment of patients and improves the first-aid efficiency, thereby gaining time to save lives.

BackgroundMental illness during pregnancy has become a major public health problem in China over the recent years， and depression is the most common psychological symptom during pregnancy. Current research efforts are directed towards the therapy on prenatal depression， whereas the construction of prediction model for prenatal depression risk has been little studied. ObjectiveTo construct a simple model for predicting the risk of prenatal depression， thus providing a valuable reference for the prevention of maternal depression during pregnancy. MethodsA total of 803 pregnant women attending three hospitals in Nanchong city were consecutively recruited from May 2021 to February 2022. A self-administered questionnaire was developed for the assessment of social demographic variables， obstetrical and general medical indexes and psychological status of all participants， and Self-rating Depression Scale （SDS） was utilized to screen for the presence of maternal depression. Subjects were randomly assigned into modelling group （n=635） and validation group （n=168） at the ratio of 8∶2 under simple random sampling with replacement. The candidate risk factors of maternal depression during pregnancy were screened using binary Logistic regression analysis， and the predictive model was constructed. Then the performance of the predictive model was validated using receiver operating characteristics （ROC） curve. Results① Lack of companionship （β=-0.692， OR=0.501， 95% CI： 0.289~0.868）， low mood during the last menstrual period （β=-1.510， OR=0.221， 95% CI： 0.074~0.656）， emotional stress during the last menstrual period （β=-1.082， OR=0.339， 95% CI： 0.135~0.853）， unsatisfactory relationship between mother-in-law and daughter-in-law （β=-1.228， OR=0.293， 95% CI： 0.141~0.609）， and indifferent generally relationship between mother-in-law and daughter-in-law （β=-0.831， OR=0.436， 95% CI： 0.260~0.730） were risk factors for prenatal depression in pregnant women （P<0.05 or 0.01）. ② Model for predicting the prenatal depression risk yielded an area under curve （AUC） of 0.698 （95% CI： 0.646~0.749）， the maximum Youden index was 0.357 in modelling group with the sensitivity and specificity was 0.606 and 0.751， and an AUC of 0.672 （95% CI： 0.576~0.767） and maximum Youden index of 0.263 in validation group with the sensitivity and specificity of 0.556 and 0.707. ConclusionThe simple model constructed in this study has good discriminant validity in predicting of the risk of prenatal depression. ［Funded by Nanchong Social Science Research Project of the 14th Five-Year Plan （number， NC21B165）］