1.Clinical Characteristics and Survival Analysis of Single Center Adult Chronic Myeloid Leukemia in Chronic Phase
Xia-Xia JIAO ; Yuan-Yuan ZHANG ; Jing PAN ; Lei-Na SONG ; Cai-Qin LIN ; Hui-Zhen SHI ; Bin ZHU ; Su-Li WANG ; Shao-Ying PAN ; Zhi-Yong DING ; Wen-Li ZHAO
Journal of Experimental Hematology 2024;32(5):1381-1387
Objective:To investigate the clinical characteristics and prognosis of single center adult chronic myeloid leukemia in chronic phase(CML-CP).Methods:Clinical data of 41 adult CML-CP patients in Department of Hematology,Shanghai Fengxian District Central Hospital from January 2015 to May 2021 were retrospectively analyzed.The clinical characteristics and prognosis of patients between<60 years group and ≥ 60 years group were compared.Results:The 41 patients included 27(65.9%)males and 14(34.1%)females.The median age of the patients was 56(19-84)years,with 22 cases(53.7%)<60 years and 19 cases(46.3%)≥60 years.Univariate analysis indicated that the proportions of patients with comorbidities,intermediate/high-risk Sokal score,myelofibrosis,and lactate dehydrogenase ≥1 000 U/L were significantly increased in ≥60 years group compared with<60 years group at initial diagnosis(all P<0.05).There were no statistical differences in the distribution of sex,ELST score,white blood cell count,platelet count,peripheral blood basophil percentage,peripheral blood eosinophil percentage and bone marrow primitive cell percentage between the two groups(P>0.05).The proportion of patients taking reduced-dose imatinib in≥60 years group significantly increased(P<0.001).Patients<60 years had a higher proportion of molecular biological remission after treatment of tyrosine kinase inhibitors(TKIs)than patients ≥ 60 years(P<0.001).The incidence of non-hematologic adverse reactions to TKI therapy significantly increased in patients ≥ 60 years(P<0.001).Multivariate analysis showed that no adverse factors affecting the efficacy and prognosis of TKI.Conclusion:Compared with adult CML-CP patients<60 years,patients ≥ 60 years gain fewer benefits from TKI treatment and increased adverse reactions.
2.Analysis of 39 Forensic Clinical Sex Identification Cases after Sex Reassignment Surgery
Yu-Jiao WU ; Yue-Qin ZHOU ; Yi-Wen SHEN ; Jie-Qing JIANG
Journal of Forensic Medicine 2024;40(4):365-371
Objective To analyze the characteristics of forensic clinical sex identification cases after sex reassignment surgery for transsexualism,discuss the main point of forensic clinical sex identification in China based on domestic and foreign sex change policies and related cases,so as to standardize relevant identification.Methods A total of 39 cases of forensic clinical sex identification were col-lected from Center for Forensic Science,Shanghai Medical College of Fudan University in recent years,and the ratio of sex,identification time,the location of surgery,secondary sex characteristic and other information were statistically analyzed.Results Transgender woman accounted for 97.4%of the cases,and 94.9%of the cases were operated in Thailand.All cases were identified after the sex reassign-ment surgery,and at least one of the secondary sex characteristics was consistent with the postopera-tive primary sexual characters.There were only 2 cases in which auxiliary examination was applied.Conclusion Forensic clinical sex identification should be based on the principle that the primary and secondary sex characteristics are consistent with the changed sex.
3.Automatic determination of mandibular landmarks based on three-dimensional mandibular average model.
Zi Xiang GAO ; Yong WANG ; Ao Nan WEN ; Yu Jia ZHU ; Qing Zhao QIN ; Yun ZHANG ; Jing WANG ; Yi Jiao ZHAO
Journal of Peking University(Health Sciences) 2023;55(1):174-180
OBJECTIVE:
To explore an efficient and automatic method for determining the anatomical landmarks of three-dimensional(3D) mandibular data, and to preliminarily evaluate the performance of the method.
METHODS:
The CT data of 40 patients with normal craniofacial morphology were collected (among them, 30 cases were used to establish the 3D mandibular average model, and 10 cases were used as test datasets to validate the performance of this method in determining the mandibular landmarks), and the 3D mandibular data were reconstructed in Mimics software. Among the 40 cases of mandibular data after the 3D reconstruction, 30 cases that were more similar to the mean value of Chinese mandibular features were selected, and the size of the mandibular data of 30 cases was normalized based on the Procrustes analysis algorithm in MATLAB software. Then, in the Geomagic Wrap software, the 3D mandibular average shape model of the above 30 mandibular data was constructed. Through symmetry processing, curvature sampling, index marking and other processing procedures, a 3D mandible structured template with 18 996 semi-landmarks and 19 indexed mandibular anatomical landmarks were constructed. The open source non-rigid registration algorithm program Meshmonk was used to match the 3D mandible template constructed above with the tested patient's 3D mandible data through non-rigid deformation, and 19 anatomical landmark positions of the patient's 3D mandible data were obtained. The accuracy of the research method was evaluated by comparing the distance error of the landmarks manually marked by stomatological experts with the landmarks marked by the method of this research.
RESULTS:
The method of this study was applied to the data of 10 patients with normal mandibular morphology. The average distance error of 19 landmarks was 1.42 mm, of which the minimum errors were the apex of the coracoid process [right: (1.01±0.44) mm; left: (0.56±0.14) mm] and maximum errors were the anterior edge of the lowest point of anterior ramus [right: (2.52±0.95) mm; left: (2.57±1.10) mm], the average distance error of the midline landmarks was (1.15±0.60) mm, and the average distance error of the bilateral landmarks was (1.51±0.67) mm.
CONCLUSION
The automatic determination method of 3D mandibular anatomical landmarks based on 3D mandibular average shape model and non-rigid registration algorithm established in this study can effectively improve the efficiency of automatic labeling of 3D mandibular data features. The automatic determination of anatomical landmarks can basically meet the needs of oral clinical applications, and the labeling effect of deformed mandible data needs to be further tested.
Humans
;
Imaging, Three-Dimensional/methods*
;
Mandible/diagnostic imaging*
;
Software
;
Algorithms
;
Anatomic Landmarks/anatomy & histology*
4.Diagnosis status and genetic characteristics analysis of Fanconi anemia in China.
Niu LI ; Die Xin HU ; Xia QIN ; Yi Ping ZHU ; Ming ZHOU ; Lan HE ; Li Xian CHANG ; Xiao Jun XU ; Yan DAI ; Xing Yu CAO ; Kai CHEN ; Hong Mei WANG ; Chun Jing WANG ; Yue Lin HE ; Xiao Wen QIAN ; Lan Ping XU ; Jing CHEN
Chinese Journal of Pediatrics 2023;61(10):889-895
Objective: To analyze the clinical and molecular diagnostic status of Fanconi anemia (FA) in China. Methods: The General situation, clinical manifestations and chromosome breakage test and genetic test results of 107 pediatric FA cases registered in the Chinese Blood and Marrow Transplantation Registry Group (CBMTRG) and the Chinese Children Blood and Marrow Transplantation Registry Group (CCBMTRG) from August 2009 to January 2022 were analyzed retrospectively. Children with FANCA gene variants were divided into mild and severe groups based on the type of variant, and Wilcoxon-test was used to compare the phenotypic differences between groups. Results: Of the 176 registered FA patients, 69 (39.2%) cases were excluded due to lack of definitive genetic diagnosis results, and the remaining 107 children from 15 hospitals were included in the study, including 70 males and 37 females. The age at transplantation treatment were 6 (4, 9) years. The enrolled children were involved in 10 pathogenic genes, including 89 cases of FANCA gene, 7 cases of FANCG gene, 3 cases of FANCB gene, 2 cases of FANCE gene and 1 case each of FANCC, FANCD1, FANCD2, FANCF, FANCJ, and FANCN gene. Compound heterozygous or homozygous of loss-of-function variants account for 69.2% (72/104). Loss-of-function variants account for 79.2% (141/178) in FANCA gene variants, and 20.8% (37/178) were large exon deletions. Fifty-five children (51.4%) had chromosome breakage test records, with a positive rate of 81.8% (45/55). There were 172 congenital malformations in 80 children.Café-au-Lait spots (16.3%, 28/172), thumb deformities (16.3%,28/172), polydactyly (13.9%, 24/172), and short stature (12.2%, 21/172) were the most common congenital malformations in Chinese children with FA. No significant difference was found in the number of congenital malformations between children with severe (50 cases) and mild FANCA variants (26 cases) (Z=-1.33, P=0.185). Conclusions: FANCA gene is the main pathogenic gene in children with FA, where the detection of its exon deletion should be strengthened clinically. There were no phenotypic differences among children with different types of FANCA variants. Chromosome break test is helpful to determine the pathogenicity of variants, but its accuracy needs to be improved.
Male
;
Female
;
Humans
;
Child
;
Fanconi Anemia/genetics*
;
Chromosome Breakage
;
Retrospective Studies
;
Exons
;
China/epidemiology*
5.Molecular features of 109 patients with chronic myelomonocytic leukemia in a single center.
Shi Qiang QU ; Li Juan PAN ; Tie Jun QIN ; Ze engF XU ; Bing LI ; Hui Jun WANG ; Qi SUN ; Yu Jiao JIA ; Cheng Wen LI ; Wen Yun CAI ; Qing Yan GAO ; Meng JIAO ; Zhi Jian XIAO
Chinese Journal of Hematology 2023;44(5):373-379
Objective: To explore the molecular features of chronic myelomonocytic leukemia (CMML) . Methods: According to 2022 World Health Organization (WHO 2022) classification, 113 CMML patients and 840 myelodysplastic syndrome (MDS) patients from March 2016 to October 2021 were reclassified, and the clinical and molecular features of CMML patients were analyzed. Results: Among 113 CMML patients, 23 (20.4%) were re-diagnosed as acute myeloid leukemia (AML), including 18 AML with NPM1 mutation, 3 AML with KMT2A rearrangement, and 2 AML with MECOM rearrangement. The remaining 90 patients met the WHO 2022 CMML criteria. In addition, 19 of 840 (2.3%) MDS patients met the WHO 2022 CMML criteria. At least one gene mutation was detected in 99% of CMML patients, and the median number of mutations was 4. The genes with mutation frequency ≥ 10% were: ASXL1 (48%), NRAS (34%), RUNX1 (33%), TET2 (28%), U2AF1 (23%), SRSF2 (21.1%), SETBP1 (20%), KRAS (17%), CBL (15.6%) and DNMT3A (11%). Paired analysis showed that SRSF2 was frequently co-mutated with ASXL1 (OR=4.129, 95% CI 1.481-11.510, Q=0.007) and TET2 (OR=5.276, 95% CI 1.979-14.065, Q=0.001). SRSF2 and TET2 frequently occurred in elderly (≥60 years) patients with myeloproliferative CMML (MP-CMML). U2AF1 mutations were often mutually exclusive with TET2 (OR=0.174, 95% CI 0.038-0.791, Q=0.024), and were common in younger (<60 years) patients with myelodysplastic CMML (MD-CMML). Compared with patients with absolute monocyte count (AMoC) ≥1×10(9)/L and <1×10(9)/L, the former had a higher median age of onset (60 years old vs 47 years old, P<0.001), white blood cell count (15.9×10(9)/L vs 4.4×10(9)/L, P<0.001), proportion of monocytes (21.5% vs 15%, P=0.001), and hemoglobin level (86 g/L vs 74 g/L, P=0.014). TET2 mutations (P=0.021) and SRSF2 mutations (P=0.011) were more common in patients with AMoC≥1×10(9)/L, whereas U2AF1 mutations (P<0.001) were more common in patients with AMoC<1×10(9)/L. There was no significant difference in the frequency of other gene mutations between the two groups. Conclusion: According to WHO 2022 classification, nearly 20% of CMML patients had AMoC<1×10(9)/L at the time of diagnosis, and MD-CMML and MP-CMML had different molecular features.
Humans
;
Aged
;
Middle Aged
;
Leukemia, Myelomonocytic, Chronic/genetics*
;
Prognosis
;
Splicing Factor U2AF/genetics*
;
Mutation
;
Myelodysplastic Syndromes/genetics*
;
Leukemia, Myeloid, Acute/genetics*
6.Preliminary study on three-dimensional morphological reconstruction method for external nose defect based on three-dimensional face template.
Ao Nan WEN ; Yong WANG ; Hong Qiang YE ; Zi Xiang GAO ; Yu Jia ZHU ; Qing Zhap QIN ; Hui Zhen HU ; Yun Song LIU ; Yi Jiao ZHAO
Chinese Journal of Stomatology 2023;58(5):414-421
Objective: To provide a new solution for the digital design of nasal prostheses, this study explores the three-dimensional (3D) facial morphology completion method for external nasal defects based on the non-rigid registration process of 3D face template. Methods: A total of 20 male patients with tooth defect and dentition defect who visited the Department of Prosthodontics, Peking University School and Hospital of Stomatology from June to December 2022 were selected, age 18-45 years old. The original 3D facial data of patients were collected, and the 3D facial data of the external nose defect was constructed in Geomagic Wrap 2021 software. Using the structured 3D face template data constructed in the previous research of the research group, the 3D face template was deformed and registered to the 3D facial data of external nose defect (based on the morphology of non-defective area) by non-rigid registration algorithm (MeshMonk program), and the personalized deformed data of the 3D face template was obtained, as the complemented facial 3D data. Based on the defect boundary of the 3D facial data of the external nose defect, the complemented external nose 3D data can be cut out from the complemented facial 3D data. Then the nasofacial angle and nasolabial angle of the complemented facial 3D data and the original 3D facial data was compared and analyzed, the ratio between the nose length and mid-face height, nose width and medial canthal distance of the complemented facial 3D data was measured, the edge fit between the edge curve of the complemented external nose 3D data and the defect edge curve of the 3D facial data of external nose defect was evaluated, and the morphological difference of the nose between the complemented external nose 3D data and the original 3D facial data was analyzed. Results: There was no significant statistically difference (t=-0.23, P=0.823; Z=-1.72, P=0.086) in the nasofacial angle (28.2°±2.9°, 28.4°±3.5° respectively) and nasolabial angle [95.4°(19.2°), 99.9°(9.5°) respectively] between the 20 original 3D facial data and the complemented facial 3D data. The value of the ratio of nose length to mid-face height in the complemented facial 3D data was 0.63±0.03, and the value of the ratio of nose width to medial canthal distance was 1.07±0.08. The curve deviation (root mean square value) between the edge curve of the complemented external nose 3D data and the defect edge curve of the 3D facial data of external nose defect was (0.37±0.09) mm, the maximum deviation was (1.14±0.32) mm, and the proportion of the curve deviation value within±1 mm was (97±3)%. The distance of corresponding nose landmarks between the complemented facial 3D data and the original 3D facial data were respectively, Nasion: [1.52(1.92)] mm; Pronasale: (3.27±1.21) mm; Subnasale: (1.99±1.09) mm; Right Alare: (2.64±1.34) mm; Left Alare: (2.42± 1.38) mm. Conclusions: The method of 3D facial morphology completion of external nose defect proposed in this study has good feasibility. The constructed complemented external nose 3D data has good facial coordination and edge fit, and the morphology is close to the nose morphology of the original 3D facial data.
7.Study on the method of automatically determining maxillary complex landmarks based on non-rigid registration algorithms.
Zi Xiang GAO ; Jing WANG ; Ao Nan WEN ; Yu Jia ZHU ; Qing Zhao QIN ; Yong WANG ; Yi Jiao ZHAO
Chinese Journal of Stomatology 2023;58(6):554-560
Objective: To explore an automatic landmarking method for anatomical landmarks in the three-dimensional (3D) data of the maxillary complex and preliminarily evaluate its reproducibility and accuracy. Methods: From June 2021 to December 2022, spiral CT data of 31 patients with relatively normal craniofacial morphology were selected from those who visited the Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology. The sample included 15 males and 16 females, with the age of (33.3±8.3) years. The maxillary complex was reconstructed in 3D using Mimics software, and the resulting 3D data of the maxillary complex was mesh-refined using Geomagic software. Two attending physicians and one associate chief physician manually landmarked the 31 maxillary complex datasets, determining 24 anatomical landmarks. The average values of the three expert landmarking results were used as the expert-defined landmarks. One case that conformed to the average 3D morphological characteristics of healthy individuals' craniofacial bones was selected as the template data, while the remaining 30 cases were used as target data. The open-source MeshMonk program (a non-rigid registration algorithm) was used to perform an initial alignment of the template and target data based on 4 landmarks (nasion, left and right zygomatic arch prominence, and anterior nasal spine). The template data was then deformed to the shape of the target data using a non-rigid registration algorithm, resulting in the deformed template data. Based on the unchanged index property of homonymous landmarks before and after deformation of the template data, the coordinates of each landmark in the deformed template data were automatically retrieved as the automatic landmarking coordinates of the homonymous landmarks in the target data, thus completing the automatic landmarking process. The automatic landmarking process for the 30 target data was repeated three times. The root-mean-square distance (RMSD) of the dense corresponding point pairs (approximately 25 000 pairs) between the deformed template data and the target data was calculated as the deformation error of the non-rigid registration algorithm, and the intra-class correlation coefficient (ICC) of the deformation error in the three repetitions was analyzed. The linear distances between the automatic landmarking results and the expert-defined landmarks for the 24 anatomical landmarks were calculated as the automatic landmarking errors, and the ICC values of the 3D coordinates in the three automatic landmarking repetitions were analyzed. Results: The average three-dimensional deviation (RMSD) between the deformed template data and the corresponding target data for the 30 cases was (0.70±0.09) mm, with an ICC value of 1.00 for the deformation error in the three repetitions of the non-rigid registration algorithm. The average automatic landmarking error for the 24 anatomical landmarks was (1.86±0.30) mm, with the smallest error at the anterior nasal spine (0.65±0.24) mm and the largest error at the left oribital (3.27±2.28) mm. The ICC values for the 3D coordinates in the three automatic landmarking repetitions were all 1.00. Conclusions: This study established an automatic landmarking method for three-dimensional data of the maxillary complex based on a non-rigid registration algorithm. The accuracy and repeatability of this method for landmarking normal maxillary complex 3D data were relatively good.
Male
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Female
;
Humans
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Adult
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Imaging, Three-Dimensional/methods*
;
Reproducibility of Results
;
Algorithms
;
Software
;
Tomography, Spiral Computed
;
Anatomic Landmarks/anatomy & histology*
8.Research Progress of Targeting uPA-uPAR System in Tumor Therapy
Weiwen CAI ; Long QIN ; Junchang ZHANG ; Fei WEN ; Wentao ZHANG ; Zuoyi JIAO
Cancer Research on Prevention and Treatment 2023;50(2):202-208
The uPA-uPAR system is highly expressed in various tumor tissues. This system can promote the degradation of extracellular matrix proteins, as well as combine with vitronectin and integrin to transmit intracellular signal transduction. Subsequently, it mediates the occurrence and development of tumors. In recent years, a series of therapeutic programs that target this system has achieved notable results in tumor treatment, and some of them have been under the clinical trial stage, thus providing new ideas for tumor targeted therapy. Therefore, this paper intends to provide a review of research progress on the gene therapy, drug therapy, and immunotherapy targeting uPA-uPAR system.
9.Treatment of intrauterine adhesions in rats with hypoxia-cultured BMSC-derived exosomes.
Zheng Hua XIONG ; Bei Bei LIU ; Lin Juan YANG ; Qin LI ; Wen Jiao JIN ; Meng Ni XIANG ; Rong Fen DAI ; Jia CHEN ; Xue Song HAN
Chinese Journal of Obstetrics and Gynecology 2023;58(12):911-921
Objective: To perform intrauterine adhesion modeling, and to investigate the repair effect of hypoxic treated bone marrow mesenchymal stem cells (BMSC) and their derived exosomes (BMSC-exo) on endometrial injury. Methods: BMSC and their exosomes BMSC-exo extracted from rats' femur were cultured under conventional oxygen condition (21%O2) or hypoxia condition (1%O2). Intrauterine adhesion modeling was performed on 40 healthy female SD rats by intrauterine injection of bacterial lipopolysaccharide after curettage. On the 28th day of modeling, 40 rat models were randomly divided into five groups, and interventions were performed: (1) NC group: 0.2 ml phosphate buffered solution was injected into each uterine cavity; (2) BMSC group: 0.2 ml BMSC (1×106/ml) with conventional oxygen culture was injected intrauterine; (3) L-BMSC group: 0.2 ml of hypoxic cultured BMSC (1×106/ml) was injected intrauterine; (4) BMSC-exo group: 0.2 ml of BMSC-exo cultured with conventional oxygen at a concentration of 500 μg/ml was injected into the uterine cavity; (5) L-BMSC-exo group: 0.2 ml hypoxic cultured BMSC-exo (500 μg/ml) was injected intrauterine. On the 14th and 28th day of treatment, four rats in each group were sacrificed by cervical dislocation after anesthesia, and endometrial tissues were collected. Then HE and Masson staining were used to observe and calculate the number of glands and fibrosis area in the endometrium. The expressions of angiogenesis related cytokines [vascular endothelial growth factor A (VEGFA) and CD31], and fibrosis-related proteins [collagen-Ⅰ, collagen-Ⅲ, smooth muscle actin α (α-SMA), and transforming growth factor β1 (TGF-β1)] in endometrial tissues were detected by western blot. Results: (1) HE and Masson staining showed that the number of endometrial glands in L-BMSC group, BMSC-exo group and L-BMSC-exo group increased and the fibrosis area decreased compared with NC group on the 14th and 28th day of treatment (all P<0.05). Noteworthily, the changes of L-BMSC-exo group were more significant than those of BMSC-exo group (all P<0.05), and the changes of BMSC-exo group were greater than those of BMSC group (all P<0.05). (2) Western blot analysis showed that, compared with NC group, the expressions of collagen-Ⅲ and TGF-β1 in BMSC group, L-BMSC group, BMSC-exo group and L-BMSC-exo group decreased on the 14th and 28th day of treatment (all P<0.05). As the treatment time went on, the expressions of fibrosis-related proteins were different. Compared with BMSC group, the expressions of collagen-Ⅲ, α-SMA and TGF-β1 in the BMSC-exo group and L-BMSC group decreased on the 28th day (all P<0.05). Moreover, the expressions of collagen-Ⅲ and TGF-β1 in L-BMSC-exo group were lower than those in BMSC-exo group on the 28th day (all P<0.05). And the expressions of collagen-Ⅰ, α-SMA and TGF-β1 in L-BMSC-exo group were lower than those in L-BMSC group on the 28th day (all P<0.05). (3) The results of western blot analysis of VEGFA and CD31 showed that, the expressions of VEGFA and CD31 in BMSC group, L-BMSC group, BMSC-exo group and L-BMSC-exo group increased on the 14th and 28th day of treatment compared with NC group (all P<0.05). Treatment for 28 days, the expressions of VEGFA and CD31 in BMSC-exo group and CD31 in L-BMSC group were higher than those in BMSC group (all P<0.05). Moreover, the expressions of VEGFA and CD31 in L-BMSC-exo group were higher than those in BMSC-exo group and L-BMSC group on the 28th day (all P<0.05). Conclusions: Treatment of BMSC and their exosomes BMSC-exo with hypoxia could promote endometrial gland hyperplasia, inhibit tissue fibrosis, and further repair the damaged endometrium in rats with intrauterine adhesion. Importantly, hypoxic treatment of BMSC-exo is the most effective in intrauterine adhesion rats.
Rats
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Female
;
Humans
;
Animals
;
Rats, Sprague-Dawley
;
Transforming Growth Factor beta1/metabolism*
;
Vascular Endothelial Growth Factor A
;
Exosomes/metabolism*
;
Uterine Diseases/therapy*
;
Collagen
;
Hypoxia/therapy*
;
Fibrosis
;
Mesenchymal Stem Cells/metabolism*
;
Oxygen
10.An Artificial Neural Network Model Combined with Dietary Retinol Intake from Different Sources to Predict the Risk of Nonalcoholic Fatty Liver Disease.
Can LIU ; Shi Hui ZHOU ; Hong SU ; Wen Qin YANG ; Jiao LU
Biomedical and Environmental Sciences 2023;36(12):1123-1135
OBJECTIVE:
This study aimed to develop an artificial neural network (ANN) model combined with dietary retinol intake from different sources to predict the risk of non-alcoholic fatty liver disease (NAFLD) in American adults.
METHODS:
Data from the 2007 to 2014 National Health and Nutrition Examination Survey (NHANES) 2007-2014 were analyzed. Eligible subjects ( n = 6,613) were randomly divided into a training set ( n 1 = 4,609) and a validation set ( n 2 = 2,004) at a ratio of 7:3. The training set was used to identify predictors of NAFLD risk using logistic regression analysis. An ANN was established to predict the NAFLD risk using a training set. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the accuracy of the model using the training and validation sets.
RESULTS:
Our study found that the odds ratios ( ORs) and 95% confidence intervals ( CIs) of NAFLD for the highest quartile of plant-derived dietary retinol intake (i.e., provitamin A carotenoids, such as β-carotene) ( OR = 0.75, 95% CI: 0.57 to 0.99) were inversely associated with NAFLD risk, compared to the lowest quartile of intake, after adjusting for potential confounders. The areas under the ROC curves were 0.874 and 0.883 for the training and validation sets, respectively. NAFLD occurs when its incidence probability is greater than 0.388.
CONCLUSION
The ANN model combined with plant-derived dietary retinol intake showed a significant effect on NAFLD. This could be applied to predict NAFLD risk in the American adult population when government departments formulate future health plans.
Adult
;
Humans
;
Vitamin A
;
Non-alcoholic Fatty Liver Disease/epidemiology*
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Nutrition Surveys
;
Diet
;
Neural Networks, Computer

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