1.Quality of Life for Tuberculosis Patients after Anterior Debridement, Autograft Bone Fusion and Anterolateral Fixation Operation
Anping SU ; Chengtian YANG ; Huawen ZHANG ; Qianzi YANG ; Degang XU ; Wenxu QIAN ; Weidong MA
Chinese Journal of Rehabilitation Theory and Practice 2013;19(8):781-784
Objective To evaluate the quality of life for tuberculosis patients after anterior debridement, autograft bone fusion and anterolateral fixation operation. Methods 17 cases of thoracolumbar spinal tuberculosis were treated surgically from January 2008 to March 2011. All the cases underwent anterior debridement, autograft bone fusion and anterolateral fixation operation. MOS health survey 36-item Short Form (SF-36), Japanese Orthopaedic Association Scores (JOA) and Visual Analogue Scale (VAS) were used to evaluate the quality of life, spine function and pain symptom before and 1 and 6 months after surgery. Results Compared to the results 1 month after surgery, the scores of physical function (PF), role physical (RP), bodily pain (BP), general health (GH), vitality (VT), social function (SF), role emotional (RE), and mental health (MH), and JOA subjective symptoms, JOA clinical signs, and JOA daily activity limitation, and VAS improved (P<0.05) 6 months after surgery; compared to pretreatment, the scores of PF, BP, GH, VT, SF, and MH, and JOA subjective symptoms, JOA clinical signs, and JOA daily activity limitation, and VAS improved (P<0.05). Conclusion The anterior debridement, autograft bone fusion and anterior fixation operation is effective to improve the quality of life, spine function and pain symptom for tuberculosis patients.
2.Analysis of nasal microbial characteristics in patients with allergic rhinitis and non-allergic rhinitis
Yanlu CHE ; Zhaonan XU ; Nan WANG ; Qianzi MA ; Zeyu ZHENG ; Yanan SUN ; Jingting WANG
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2023;58(9):885-891
Objective:To investigate the characteristics of nasal flora and the pathogenic role of differential microbiome in patients with allergic rhinitis (AR) and non-allergic rhinitis (nAR).Methods:Thirty-five patients with AR who attended the rhinology outpatient clinic of the Second Hospital of Harbin Medical University from February to July 2022 were selected. A total of 35 nAR patients were selected as the test group, and 20 cases of healthy people with physical examination at the same period were selected as the control group, including 39 males and 51 females, aged 8 to 55 years. 16SrDNA High-throughput sequencing was used to analyze the relative abundance from nasal flora in the three groups of subjects. Alpha diversity index analysis was conducted with R software, and differences between groups were analyzed with LEfSe, Metastats, and t tests. At the same time, the role of microbiome and its relationship with environmental factors were analyzed with R software. Results:There was a significant difference in the bacterial composition of the samples from the three groups, with the relative abundance of Staphylococcus aureus ( P=0.032) and Corynebacterium proinquum ( P=0.032) within the AR group being significantly higher than that of the nAR group, and that of Lactobacillus murinus, Lactobacillus kunkeei, and Alcaligenes faecalis ( P value was 0.016, 0.005, and 0.001, respectively) being significantly lower than that of the nAR group. The relative abundance of Ackermannia muciniphila within the nAR group was higher than that of the control group ( P=0.009). Correlation analysis of environmental factors showed a negative correlation between Lactobacillus kunkeei and IgE ( P=0.044), and a positive correlation between Lactobacillus murinus and age ( P=0.019). AR and nAR random forest prediction models were constructed for the five genera, respectively, and the area under the curve (AUC) of the models of Streptococcus-SP-FF10, Pseudoalteromonas luteoviolacea, Pseudomonas parafulva, Acinetobacter ursingii, and Azotobacter chroococcum in the AR group was 100% (95%CI: 100% to 100%). The AUC for the Pseudomonas parafulva, Azotobacter chroococcum, Closoridium baratii, Turicibacter-SP-H121, and Streptococcus lutetiensis models in the nAR group was 98.4% (95%CI: 94.9% to 100%). Conclusions:The distribution of nasal flora in AR patients, nAR patients and healthy subjects is significantly different, and the changes of bacterial flora abundance are significantly related to the occurrence of AR and nAR. Combined detection of microbiota has the potential to diagnose AR and nAR patients.