Totally 1 360 pregnant women during the first trimesters (4-12 weeks) who visited Ningbo University Affiliated Hospital and Ningbo Jiangbei Maternal Health Hospital from February 2010 to October 2011,and 216 non-pregnant healthy women,who contemporaneous by visited the hospital,were enrolled in this study.The thyroid screening was made by determining urinary iodine and serum free thyroxine,free triiodothyronine,total thyroxine,total triiodothyronine,thyrotropin,and thyroid peroxidase antibody (TPOAb).The median concentration of urinary iodine in the pregnant women was not different from that of non-pregnant women (P＞0.05) ; 1 360 pregnant women were screened,268 (19.71％) of them were identified to suffer from thyroid disorders or with positive thyroid autoantibody.29(13.43％) of non-pregnant women were identified to suffer from thyroid disorders or with positive thyroid autoantibody.There was significant difference between the 2 groups (x2 =4.40,P＜0.05).Prevalence of thyroid dysfunction may increase during early pregnancy.The screening for thyroid function and autoantibody should be recommended in that period.

Objective To study on the effect of nttrsing intervention on coping with fatigue in patients with cervical spine fracture and high paraplegia.Methods 46 patients who suffered cervical spine fracture with paraplegia were divided into the control group and the intervention group with 23 patients in each group randomly.The control group received routine care in general,while the intervention group was given additional systematic nursing intervention by full-time nurses.The brief fatigue inventory(FSI),as fatigue assessment tools,was used to assess the fatigue of patients in the two groups before invention and 20 days after invention respectively.Results As a result,we found that the difference of fatigue between the two groups had no prominent significance before intervention,but after invention the difference had prominent significance.Conclusions The nursing intervention is very important for patients with cervical spine fracture and paraplegia and has significant advantages to alleviate or eliminate patients' fatigue and improve their quality of life.

Objective:To investigate impacts of a deep learning image reconstruction (DLIR) algorithm on image quality of lower extremity CTA with low kVp and reverse flow direction scanning.Methods:From January 2021 to March 2021, fifty patients with suspected lower extremities diseases and received lower extremity CTA with low kVp and reverse flow direction scanning in Union Hospital affiliated to Fujian Medical University were retrospectively collected in this study. Six groups of CT images were reconstructed at the thickness of 0.625 mm using two algorithms including ASIR-V of three blending ratios (ASIR-V 20%, ASIR-V 50% and ASIR-V 80%) and DLIR of three strengths (DLIR-H, DLIR-M and DLIR-L). Regions of interest (ROIs) were placed on proximal abdominal aorta (AA), distal AA, left and right common iliac arteries, left and right femoral arteries (upper segment), left and right superficial femoral arteries (middle segment), left and right popliteal arteries. The CT value and SD value were measured for each group; the signal-noise ratio (SNR) and contrast-noise ratio (CNR) were calculated. The lower extremity CTA was divided into four segments, and the subjective evaluation was independently performed on noise and sharpness using 4 points scales by two radiologists. One-way analysis of variance was utilized to evaluate the differences in subjective scoring and objective parameters among the six groups.Results:For all arteries segments, with the increase of blending ratios for ASIR-V and reconstruction strength of DLIR, the SD values were reduced while SNR and CNR were increased (all P<0.05). Among the six groups, DLIR-H and ASIR-V80% images had lowest SD as well as highest SNR and CNR (all P<0.05). In comparison to ASIR-V20% and ASIR-V50% images, DLIR-H images showed lower SD, higher SNR and CNR values (all P<0.05). There were no statistical differences between ASIR-V80% and DLIR-H images in SD, SNR and CNR values (all P>0.05). Subjective scoring results showed that the DLIR-H images displayed the best noise performance for the entire lower extremity arteries from AA to the foot artery, and the sharpness scores of DLIR-H images were also significantly higher than ASIR-V80% (all P<0.05). Conclusion:DLIR can significantly reduce the image noise and improve the image quality in CTA for abdominal aorta to lower extremity arteries. DLIR-H showed the greatest noise reduction ability and the best effect balancing noise and sharpness, providing highest image quality.