RESUMO
Body weight, body mass index (BMI), Nutrition Risk Screening 2002 (NRS2002), and prognostic nutritional index (PNI) are among vital nutrition status indices employed during cancer treatment. These have also been associated with levels of blood chemistry panels (BCPs), which are touted as significant indicators of disease prognosis. However, it remains unclear which nutrition status index better predicts future trends in specific BCPs. Using the records of 407 cancer patients, we retrospectively examined the potential of nutritional status indices at baseline for predicting changes in specific BCPs over a 6-week period. Generally, both serum biochemical parameters and nutrition status indices fluctuated over the study period among study participants. PNI was often linearly associated with blood cell counts (white blood cells [WBCs] and hemoglobin) compared with anthropometric-based nutrition status indices. Increase in body weight was protective against having abnormal lymphocyte levels at 6 weeks (odds ratio [OR]: 0.960-0.974; CI: 0.935-0.997; P < 0.05), while increase in baseline PNI was associated with 0.865-0.941 and 0.675-0.915 odds of having future abnormal WBC and lymphocyte levels, respectively. Increases in PNI were also protective against having future abnormal albumin levels (OR: 0.734-0.886) and 8.5-12.5% decreases in the odds of having an abnormal C-reactive protein level in subsequent visits. Changes in NRS2002 tended to be associated with the odds of having future abnormal blood glucose levels. In conclusion, the serum biochemistry-derived nutrition status index, PNI, is a more consistent measure as an early indicator to track the trends of future changes in the BCPs of cancer patients. This implies that PNI could be targeted as an early-warning measure with relevant preventive interventions for patients at risk of malnutrition.
RESUMO
PURPOSE: To investigate the prevalence of occupational lower back pain (OLBP) among medical workers and identify the contributing factors. METHODS: An electronic questionnaire was distributed to medical workers at Yuebei People's Hospital to gather information on various factors, including gender, age, body mass index (BMI), length of employment, job role, education level, professional title, marital status, fertility status, frequency of night shift, weight lifting daily, duration of daily standing at work, frequency of bending, work-related stress, experience with low back protection training, and frequency of waist exercises. Univariate and multivariate logistic regression analyses were conducted to identify the factors associated with OLBP in medical workers. RESULTS: Out of the 98 medical workers surveyed, 67 experienced OLBP (68.37%). The results of multivariate logistic regression analysis revealed that working for more than 5 years, holding a nursing position, and lacking training in low back protection were significant risk factors for developing OLBP in medical workers (all P<0.05). CONCLUSION: OLBP is a prevalent issue among medical workers, and various factors such as length of employment, job role, and training in low back protection can influence its occurrence.
RESUMO
BACKGROUND: Chronic obstructive pulmonary disease (COPD), a common respiratory disease, can be effectively treated by traditional Chinese medicine (TCM). Qingfei Huatan, a TCM formula, has been reported to effectively alleviate the clinical symptoms of COPD patients. However, there is a lack of multi-centre, randomised, double-blind, controlled clinical trials documenting the clinical efficacy and safety of this formula in the treatment of acute exacerbation of COPD (AECOPD). OBJECTIVE: This study evaluated the efficacy and safety of Qingfei Huatan formula in the treatment of AECOPD, thereby providing high-quality clinical evidence. DESIGN, SETTING, PARTICIPANTS AND INTERVENTIONS: A total of 276 patients with AECOPD were included in this multi-centre, randomised, double-blind, placebo-controlled trial and were randomised into treatment and control groups at a ratio of 1:1. Patients in the treatment and control groups took Qingfei Huatan granules or simulated Qingfei Huatan granules twice a day, for 14 days, in addition to Western medicine treatment. All patients were followed up for 3 months. MAIN OUTCOME MEASURES: The primary outcome was time taken to symptom stabilisation. The secondary outcomes included duration of antibiotic use, clinical symptom and sign score, TCM syndrome score, dyspnoea score, and quality of life (QOL) score. Meanwhile, the safety of the formula was assessed through routine urine and stool tests, electrocardiograms, liver and kidney function tests, and the observation of adverse events throughout the trial. RESULTS: The time taken for effective stabilisation (P < 0.05) and obvious stabilisation (P < 0.01), and the duration of antibiotic use (P < 0.05) were significantly shorter in the treatment group than in the control group. On days 6, 9, 12 and 14 of treatment, clinical symptom and sign score decreased in both groups, particularly in the treatment group (P < 0.01). On days 9, 12 and 14 of treatment, the TCM syndrome scores of both groups were reduced (P < 0.01), with more significant reductions in the treatment group. At 3 months after the end of treatment, the treatment group continued to have lower clinical symptom and sign score and TCM syndrome score than the control group (P < 0.01). On days 6, 9, 12 and 14 of treatment, dyspnoea and QOL scores were markedly reduced in the two groups (P < 0.05 and P < 0.01, respectively), especially in the treatment group. At 3 months after the end of treatment, dyspnoea and QOL scores were lower in the treatment group than those in the control group (P < 0.01). No serious adverse events were observed in either group. CONCLUSION: The Qingfei Huatan formula can effectively shorten the duration of AECOPD and antibiotic use, significantly relieve clinical symptoms, and increase QOL for AECOPD patients, with a favourable safety profile. These results suggest that this formula can be used as a complementary treatment for AECOPD patients. TRIAL REGISTRATION: The protocol was registered at the Chinese Clinical Trial Registry (ChiCTR1900026576). Please cite this article as: Zhu HZ, Li CY, Liu LJ, Tong JB, Lan ZH, Tian SG, Li Q, Tong XL, Wu JF, Zhu ZG, Li SY, Li JS. Efficacy and safety of Qingfei Huatan formula in the treatment of acute exacerbation of chronic obstructive pulmonary disease: A multi-centre, randomised, double-blind, placebo-controlled trial. J Integr Med. 2024; Epub ahead of print.
RESUMO
BACKGROUND: Contrast-enhanced CT scans provide a means to detect unsuspected colorectal cancer. However, colorectal cancers in contrast-enhanced CT without bowel preparation may elude detection by radiologists. We aimed to develop a deep learning (DL) model for accurate detection of colorectal cancer, and evaluate whether it could improve the detection performance of radiologists. METHODS: We developed a DL model using a manually annotated dataset (1196 cancer vs 1034 normal). The DL model was tested using an internal test set (98 vs 115), two external test sets (202 vs 265 in 1, and 252 vs 481 in 2), and a real-world test set (53 vs 1524). We compared the detection performance of the DL model with radiologists, and evaluated its capacity to enhance radiologists' detection performance. FINDINGS: In the four test sets, the DL model had the area under the receiver operating characteristic curves (AUCs) ranging between 0.957 and 0.994. In both the internal test set and external test set 1, the DL model yielded higher accuracy than that of radiologists (97.2% vs 86.0%, p < 0.0001; 94.9% vs 85.3%, p < 0.0001), and significantly improved the accuracy of radiologists (93.4% vs 86.0%, p < 0.0001; 93.6% vs 85.3%, p < 0.0001). In the real-world test set, the DL model delivered sensitivity comparable to that of radiologists who had been informed about clinical indications for most cancer cases (94.3% vs 96.2%, p > 0.99), and it detected 2 cases that had been missed by radiologists. INTERPRETATION: The developed DL model can accurately detect colorectal cancer and improve radiologists' detection performance, showing its potential as an effective computer-aided detection tool. FUNDING: This study was supported by National Science Fund for Distinguished Young Scholars of China (No. 81925023); Regional Innovation and Development Joint Fund of National Natural Science Foundation of China (No. U22A20345); National Natural Science Foundation of China (No. 82072090 and No. 82371954); Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application (No. 2022B1212010011); High-level Hospital Construction Project (No. DFJHBF202105).
Assuntos
Neoplasias Colorretais , Meios de Contraste , Aprendizado Profundo , Tomografia Computadorizada por Raios X , Humanos , Neoplasias Colorretais/diagnóstico por imagem , Neoplasias Colorretais/diagnóstico , Feminino , Masculino , Estudos Retrospectivos , Tomografia Computadorizada por Raios X/métodos , Pessoa de Meia-Idade , Idoso , Curva ROC , Adulto , Idoso de 80 Anos ou maisRESUMO
BACKGROUND: Among the neurological complications of influenza in children, the most severe is acute necrotizing encephalopathy (ANE), with a high mortality rate and neurological sequelae. ANE is characterized by rapid progression to death within 1-2 days from onset. However, the knowledge about the early diagnosis of ANE is limited, which is often misdiagnosed as simple seizures/convulsions or mild acute influenza-associated encephalopathy (IAE). OBJECTIVE: To develop and validate an early prediction model to discriminate the ANE from two common neurological complications, seizures/convulsions and mild IAE in children with influenza. METHODS: This retrospective case-control study included patients with ANE (median age 3.8 (2.3,5.4) years), seizures/convulsions alone (median age 2.6 (1.7,4.3) years), or mild IAE (median age 2.8 (1.5,6.1) years) at a tertiary pediatric medical center in China between November 2012 to January 2020. The random forest algorithm was used to screen the characteristics and construct a prediction model. RESULTS: Of the 433 patients, 278 (64.2%) had seizures/convulsions alone, 106 (24.5%) had mild IAE, and 49 (11.3%) had ANE. The discrimination performance of the model was satisfactory, with an accuracy above 0.80 from both model development (84.2%) and internal validation (88.2%). Seizures/convulsions were less likely to be wrongly classified (3.7%, 2/54), but mild IAE (22.7%, 5/22) was prone to be misdiagnosed as seizures/convulsions, and a small proportion (4.5%, 1/22) of them was prone to be misdiagnosed as ANE. Of the children with ANE, 22.2% (2/9) were misdiagnosed as mild IAE, and none were misdiagnosed as seizures/convulsions. CONCLUSION: This model can distinguish the ANE from seizures/convulsions with high accuracy and from mild IAE close to 80% accuracy, providing valuable information for the early management of children with influenza.
Assuntos
Influenza Humana , Convulsões , Humanos , Influenza Humana/complicações , Influenza Humana/diagnóstico , Pré-Escolar , Estudos Retrospectivos , Feminino , Masculino , Estudos de Casos e Controles , Convulsões/diagnóstico , Convulsões/etiologia , Criança , Lactente , Diagnóstico Diferencial , China/epidemiologia , Encefalopatias/diagnóstico , Encefalopatias/etiologia , Algoritmo Florestas AleatóriasRESUMO
BACKGROUND AND OBJECTIVES: To investigate the relationship between body mass index (BMI) and blood biochemical indicators in early adolescence, and to provide ideas for early prevention of diseases and explore possible disease-related predictors. METHODS: 3125 participants aged 10 â¼ 14 years were selected from China from the survey of "China Nutrition and Health Surveillance ( 2016 â¼ 2017 ) ". Employing advanced statistical methods, including generalized linear models, heatmaps, hierarchical clustering, and generalized additive models, the study delved into the associations between BMI and various biochemical indicators. RESULTS: In early adolescence, indicators including systolic pressure, diastolic pressure, weight, height, BMI, hemoglobin, blood uric acid, serum creatinine, albumin, vitamin A presented increasing trends with the increase of age ( P < 0.05 ), whereas LDL-C, vitamin D, and ferritin showed decreasing trends with the increase of age ( P < 0.05 ). The increase in hemoglobin and blood uric acid levels with age was more pronounced in males compared to females ( P < 0.05 ). BMI was positively correlated with blood glucose, hemoglobin, triglyceride, LDL-C, blood uric acid, serum creatinine, ferritin, transferrin receptor, hs-CRP, total protein, vitamin A ( P < 0.05 ). There was a significant BMI × age interaction in the correlation analysis with LDL-C, transferrin receptor, serum creatinine, and hs-CRP ( P < 0.05 ). BMI was a risk factor for hypertension, hypertriglyceridemia, low high density lipoprotein cholesterolemia, and metabolic syndrome in all age groups ( OR > 1, P < 0.05 ). CONCLUSIONS: High BMI was a risk factor for hypertension, hypertriglyceridemia, low high density lipoprotein cholesterolemia, and MetS in early adolescents. With the focus on energy intake beginning in early adolescence, the maintenance of a healthy weight warrants greater attention.
Assuntos
Hipertensão , Hipertrigliceridemia , Masculino , Feminino , Humanos , Adolescente , Índice de Massa Corporal , Proteína C-Reativa/análise , LDL-Colesterol , Ácido Úrico , Creatinina , Vitamina A , Hipertensão/epidemiologia , Lipoproteínas HDL , Hemoglobinas/análise , Ferritinas , Receptores da TransferrinaRESUMO
Automated colorectal cancer (CRC) segmentation in medical imaging is the key to achieving automation of CRC detection, staging, and treatment response monitoring. Compared with magnetic resonance imaging (MRI) and computed tomography colonography (CTC), conventional computed tomography (CT) has enormous potential because of its broad implementation, superiority for the hollow viscera (colon), and convenience without needing bowel preparation. However, the segmentation of CRC in conventional CT is more challenging due to the difficulties presenting with the unprepared bowel, such as distinguishing the colorectum from other structures with similar appearance and distinguishing the CRC from the contents of the colorectum. To tackle these challenges, we introduce DeepCRC-SL, the first automated segmentation algorithm for CRC and colorectum in conventional contrast-enhanced CT scans. We propose a topology-aware deep learning-based approach, which builds a novel 1-D colorectal coordinate system and encodes each voxel of the colorectum with a relative position along the coordinate system. We then induce an auxiliary regression task to predict the colorectal coordinate value of each voxel, aiming to integrate global topology into the segmentation network and thus improve the colorectum's continuity. Self-attention layers are utilized to capture global contexts for the coordinate regression task and enhance the ability to differentiate CRC and colorectum tissues. Moreover, a coordinate-driven self-learning (SL) strategy is introduced to leverage a large amount of unlabeled data to improve segmentation performance. We validate the proposed approach on a dataset including 227 labeled and 585 unlabeled CRC cases by fivefold cross-validation. Experimental results demonstrate that our method outperforms some recent related segmentation methods and achieves the segmentation accuracy in DSC for CRC of 0.669 and colorectum of 0.892, reaching to the performance (at 0.639 and 0.890, respectively) of a medical resident with two years of specialized CRC imaging fellowship.
RESUMO
The objective of this study is to explore the correlation of metal levels with assisted reproductive technology (ART) outcomes in polycystic ovary syndrome (PCOS) patients. The individuals were recruited who met the research criteria, only tubal factor or male infertility served as the control group (n = 40) and patient group was PCOS patients (n = 35). Individuals (n = 75) were divided into PCOS group (n = 35) and control group (n = 40). The normal body mass index (BMI) group (control) includes women with BMI < 25 kg/m2 in PCOS group (n = 24) and control group (n = 33), and BMI ≥ 25 kg/m2 in PCOS group (n = 11) and control group (n = 7). We performed an analysis of insulin resistance (IR) (n = 15) group and without insulin resistance (NIR) group (n = 20) in PCOS patient and control patients. Comparing difference demographic data, ART outcomes and the metal levels in every group respectively, the correlation of metal levels and ART outcomes in control participants and PCOS patients were analyzed by the Spearman correlation analysis, and multiple linear regression model was used to examine the association between the concentration of 19 metals and ART outcomes in PCOS group and control group. Plasma manganese (Mn), titanium (Ti), sodium (Na), magnesium (Mg), copper (Cu), calcium (Ca)/Mg ratio, and Cu/zinc (Zn) ratio levels in PCOS patients were higher than that in control, while Zn and Ca levels were lower in PCOS patients than that in control. The Mg levels had a positive connection with the number of eggs recovered, and the iron (Fe) levels were positively associated with the number of transplanted embryos in PCOS-IR. In PCOS-NIR, Mn levels positively correlated with the number of follicles and the number of good embryos. Silver (Ag) levels were negatively correlated with the number of follicles, and aluminum (Al) levels were negatively related with the normal fertilization and the number of good embryos. The Spearman analysis in PCOS-BMI ≥ 25 group exhibited that nickel (Ni) levels were negatively associated with the number of follicles. The plasma metal levels seem to affect the clinical manifestations and in vitro fertilization outcomes in assisted reproduction.
RESUMO
The study aims to identifying and exploring the methods and rules of the syndrome/pattern differentiation and treatment of headache through collating acupuncture-moxibustion prescriptions recorded earliest in ancient literature. Using Excel2016 software, the structural data table was prepared with "name of disease", "location of disease", "etiology and pathogenesis", "complicated symptoms", "sites for acupuncture and moxibustion" and "techniques of acupuncture and moxibustion" included. The normative approach was conduced on "name of disease", "etiology and pathogenesis", "complicated symptoms" and "nomenclature of acupoint". Using conventional literature statistical method, combined with Apriori algorithm of association rule, the implicit multi-dimensional correlation rules were explored among various elements of syndrome/pattern differentiation of headache and corresponding therapeutic methods. Based on the findings of the study, the regularity was distinct regarding the treatment at "distal acupoints along the affected meridian and the local acupoints at the affected area" after identifying the location of headache; the strong association was presented between "etiology and pathogenesis" and "acupoint selection", and between "etiology and pathogenesis" and "therapeutic methods", including 9 and 12 rules, respectively. Guanyuan (CV 4) selected in treatment of headache was associated with kidney deficiency, the combination of Zhongwan (CV 12) and Zusanli (ST 36) was with phlegm, Fengfu (GV 16), Fengchi (GB 20), Xinghui (GV 22) and Baihui (GV 20) was with wind, and Hegu (LI 4) was with cold. Moxibustion was dominant in treatment if headache was caused by pathogenic cold or related to deficiency syndrome; acupuncture was used specially for the case caused by phlegm, or interaction of wind and phlegm or wind and heat. For heat syndrome, either acupuncture or moxibustion was applicable, in general, acupuncture was more commonly used in comparison with moxibustion for headache. There were 6 association rules regarding the acupoint selection and the techniques of acupuncture and moxibustion. Moxibustion was generally applied to Xinghui (GV 22), Shangxing (GV 23) and Baihui (GV 20) ; and acupuncture was to Fengfu (GV 16), Hegu (LI 4) and Zusanli (ST 36). There were few association rules between the complicated symptoms and acupoint selection. Among nearly 100 complications, there were only 3 feature associations. Zhongwan (CV 12) was selected for the case with poor appetite, Chengjiang (CV 24) was with neck stiffness, and Fengchic (GB 20) combined with Fenglong (ST 40) or Jiexi (ST 41) was used if vertigo was present. In the ancient time, regarding the treatment of headache, acupuncture and moxibustion are delivered based on the three aspects, i.e. the location of illness, the etiology and pathogenesis, and the complicated symptoms. For acupoint selection, in line with the courses of affected meridians, the adjacent and distal acupoints are combined according to the location of headache. The acupoint prescription is composed in terms of the etiology and pathogenesis. The techniques of acupuncture and moxibustion are optimized in consideration of the sites where acupuncture and moxibustion are operated.
Assuntos
Terapia por Acupuntura , Meridianos , Moxibustão , Humanos , Pontos de Acupuntura , Mineração de Dados , Síndrome , Tecnologia , Cefaleia/terapiaRESUMO
BACKGROUND: Cough is a common symptom during and after COVID-19 infection; however, few studies have described the cough profiles of COVID-19. OBJECTIVE: The aim of this study was to investigate the prevalence, severity, and associated risk factors of severe and persistent cough in individuals with COVID-19 during the latest wave of the Omicron variant in China. METHODS: In this nationwide cross-sectional study, we collected information of the characteristics of cough from individuals with infection of the SARS-CoV-2 Omicron variant using an online questionnaire sent between December 31, 2022, and January 11, 2023. RESULTS: There were 11,718 (n=7978, 68.1% female) nonhospitalized responders, with a median age of 37 (IQR 30-47) years who responded at a median of 16 (IQR 12-20) days from infection onset to the time of the survey. Cough was the most common symptom, occurring in 91.7% of participants, followed by fever, fatigue, and nasal congestion (68.8%-87.4%). The median cough visual analog scale (VAS) score was 70 (IQR 50-80) mm. Being female (odds ratio [OR] 1.31, 95% CI 1.20-1.43), having a COVID-19 vaccination history (OR 1.71, 95% CI 1.37-2.12), current smoking (OR 0.48, 95% CI 0.41-0.58), chronic cough (OR 2.04, 95% CI 1.69-2.45), coronary heart disease (OR 1.71, 95% CI 1.17-2.52), asthma (OR 1.22, 95% CI 1.02-1.46), and gastroesophageal reflux disease (GERD) (OR 1.21, 95% CI 1.01-1.45) were independent factors for severe cough (VAS>70, 37.4%). Among all respondents, 35.0% indicated having a productive cough, which was associated with risk factors of being female (OR 1.44, 95% CI 1.31-1.57), having asthma (OR 1.84, 95% CI 1.52-2.22), chronic cough (OR 1.44, 95% CI 1.19-1.74), and GERD (OR 1.22, 95% CI 1.01-1.47). Persistent cough (>3 weeks) occurred in 13.0% of individuals, which was associated with the risk factors of having diabetes (OR 2.24, 95% CI 1.30-3.85), asthma (OR 1.70, 95% CI 1.11-2.62), and chronic cough (OR 1.97, 95% CI 1.32-2.94). CONCLUSIONS: Cough is the most common symptom in nonhospitalized individuals with Omicron SARS-CoV-2 variant infection. Being female, having asthma, chronic cough, GERD, coronary heart disease, diabetes, and a COVID-19 vaccination history emerged as independent factors associated with severe cough, productive cough, and persistent cough.
Assuntos
Asma , COVID-19 , Doença das Coronárias , Diabetes Mellitus , Refluxo Gastroesofágico , Feminino , Humanos , Lactente , Masculino , SARS-CoV-2 , Estudos Transversais , Vacinas contra COVID-19 , COVID-19/complicações , COVID-19/epidemiologia , Tosse/epidemiologia , Fatores de Risco , Tosse Crônica , China/epidemiologia , Asma/complicações , Asma/epidemiologiaRESUMO
BACKGROUND: Red yeast rice (RYR), a natural lipid-lowering agent, is widely used in clinical practice. However, the existing meta-analyses concerning the safety of RYR preparations have yielded inconsistent results, and the credibility of the evidence has not been quantified. OBJECTIVE: This study was designed to evaluate the existing evidence and offer a comprehensive understanding of the associations between the use of RYR preparations and various adverse health outcomes. SEARCH STRATEGY: Seven literature databases were searched from inception to May 5, 2023, using medical subject headings and free-text terms (e.g., "red yeast rice," "Xuezhikang," and "Zhibitai"). INCLUSION CRITERIA: Meta-analyses that investigated and quantitatively estimated associations between the use of RYR preparations and adverse health outcomes were included in this study. DATA EXTRACTION AND ANALYSIS: Two researchers independently extracted data using a standardized data collection table; any disagreements were resolved by consulting a third researcher. Based on the participant, intervention, comparator and outcome (PICO) framework in each eligible meta-analysis, a series of unique associations between the use of RYR preparations and adverse health outcomes were determined. The associations' effect estimates were re-evaluated using random-effect models. RESULTS: Fifteen meta-analyses, comprising 186 (164 unique) randomized controlled trials, were identified. Based on A MeaSurement Tool to Assess Systematic Reviews version 2, 3 (20%) and 12 (80%) of these meta-analyses had low and critically low confidence, respectively. A total of 61 unique associations between the use of RYR preparations and adverse health outcomes were extracted from eligible meta-analyses. Based on the random-effect models, 10 (16.4%) associations indicated a significant protective effect of RYR preparations against adverse health outcomes, while 5 (8.2%) indicated an increased risk of adverse health outcomes related to uric acid, alanine transaminase and aspartate transaminase levels. The other 46 (75.4%) associations showed no significant difference between the use of RYR preparations and control treatments. Regarding the credibility of the evidence, 21 (34.4%), 34 (55.7%) and 6 (9.8%) associations showed moderate, low and very low credibility, respectively. CONCLUSION: The evidence examined in this study suggests that RYR preparations are safe; however, the credibility of the evidence was not high. Further high-quality evidence is required. Please cite this article as: Ma ZY, Yang SP, Li Y, Xu TT, Yang YL, Yang HY, Li HB, Zhou LJ, Diao Y, Li SY. Associations between the use of red yeast rice preparations and adverse health outcomes: An umbrella review of meta-analyses of randomized controlled trials. J Integr Med. 2024; 22(2): 126-136.
Assuntos
Produtos Biológicos , Humanos , Ensaios Clínicos Controlados Aleatórios como Assunto , Produtos Biológicos/efeitos adversosRESUMO
BACKGROUND AND AIM: The health implications of BMI and MetS in lactating women are significant. This study aims to investigate the relationship between risk of Mets in lactation and BMI in four stages: pre-pregnancy, prenatal period, 42 days postpartum, and current lactation. METHODS AND RESULTS: A total of 1870 Lactating Women within 2 years after delivery were included from "China Child and Lactating Mother Nutrition Health Surveillance (2016-2017)". Logistic regression model and Restricted cubic spline (RCS) were used to estimate the relationship between BMI and risk of MetS. ROC analysis was used to determine the threshold for the risk of MetS. Chain mediating effect analysis was used to verify the mediating effect. BMI of MetS group in all stages were higher than non-MetS group (P < 0.0001). There were significant positive correlations between BMI in each stage and ORs of MetS during lactation (P < 0.05). The best cut-off values for BMI in the four stages were 23.47, 30.49, 26.04 and 25.47 kg/m2. The non-linear spline test at BMI in 42 days postpartum, current and MetS in lactation was statistically significant (P non-linear = 0.0223, 0.0003). The mediation effect of all chains have to work through lactation BMI. The total indirect effect accounted for 80.95% of the total effect. CONCLUSIONS: The risk of MetS in lactating women is due to a high BMI base before pregnancy and postpartum. High BMI in all stages of pregnancy and postpartum were risk factors for MetS in lactation. BMI during lactation plays a key role in the risk of MetS.
Assuntos
Síndrome Metabólica , Feminino , Humanos , Gravidez , Índice de Massa Corporal , Aleitamento Materno , População do Leste Asiático , Lactação , Síndrome Metabólica/epidemiologiaRESUMO
Chronic obstructive pulmonary disease (COPD) has a high global morbidity and mortality and a severe disease burden, yet progress in treatment and prevention has been slow in recent decades. Early COPD has few symptoms and is severely underdiagnosed and undertreated; it is crucial to search for effective clues of early COPD and provide management interventions. By reviewing the definition, risk factors, diagnosis and management interventions, this study explores the disease evolution of early-stage COPD, which can help clinical practice to develop more effective preventive and therapeutic strategies for stopping or slowing down the natural progression of the disease, improving the long-term prognosis, and reducing the disease burden.
Assuntos
Doença Pulmonar Obstrutiva Crônica , Humanos , Doença Pulmonar Obstrutiva Crônica/terapia , Doença Pulmonar Obstrutiva Crônica/tratamento farmacológico , Prognóstico , Fatores de RiscoRESUMO
INTRODUCTION: Epilepsy is one of the most common neurological diseases, while over one third of adults with epilepsy still have inadequate seizure control. Although mutations in salt-inducible kinases (SIKs) have been identified in epileptic encephalopathy, it is not known whether blocking SIKs can prevent pentylenetetrazole (PTZ)-induced seizures. METHODS: We first determined the time course of SIKs (including SIK 1, 2, and 3) in the hippocampus of PTZ treated mice. And then, we evaluated the effects of anti-epilepsy drug valproate acid (VPA) on the expression of SIK 1, 2, and 3 in the hippocampus of PTZ treated mice. Next, we investigated the effect of different dose of SIKs inhibitor YKL-06-061 on the epileptic seizures and neuronal activation by determining the expression of immediate early genes (IEGs) in the PTZ treated mice. RESULTS: We found that PTZ selectively induced enhanced expression of SIK1 in the hippocampus, which was blocked by VPA treatment. Notably, YKL-06-061 decreased seizure activity and prevented neuronal overactivity, as indicated by the reduced expression of IEGs in the hippocampus and prefrontal cortex. CONCLUSION: Our findings provide the first evidence that SIK1 affects gene regulation in neuronal hyperactivity, which is involved in seizure behavior. Targeting SIK1 through the development of selective inhibitors may lead to disease-modifying therapies that reduce epilepsy progression.
Assuntos
Epilepsia , Pentilenotetrazol , Camundongos , Animais , Pentilenotetrazol/farmacologia , Convulsões/induzido quimicamente , Convulsões/tratamento farmacológico , Convulsões/prevenção & controle , Epilepsia/tratamento farmacológico , Ácido Valproico/farmacologia , Ácido Valproico/uso terapêutico , Hipocampo/metabolismo , Anticonvulsivantes/uso terapêutico , Modelos Animais de DoençasRESUMO
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows screening, follow up, and diagnosis for breast tumor with high sensitivity. Accurate tumor segmentation from DCE-MRI can provide crucial information of tumor location and shape, which significantly influences the downstream clinical decisions. In this paper, we aim to develop an artificial intelligence (AI) assistant to automatically segment breast tumors by capturing dynamic changes in multi-phase DCE-MRI with a spatial-temporal framework. The main advantages of our AI assistant include (1) robustness, i.e., our model can handle MR data with different phase numbers and imaging intervals, as demonstrated on a large-scale dataset from seven medical centers, and (2) efficiency, i.e., our AI assistant significantly reduces the time required for manual annotation by a factor of 20, while maintaining accuracy comparable to that of physicians. More importantly, as the fundamental step to build an AI-assisted breast cancer diagnosis system, our AI assistant will promote the application of AI in more clinical diagnostic practices regarding breast cancer.
RESUMO
BACKGROUND: Postinfectious cough (PIC) is a common symptom following a respiratory tract infection. Xingbei Zhike (XBZK) granules, a Chinese patent medicine, has been widely used for PIC in clinics. However, there is a lack of evidence on the effectiveness. PURPOSE: To investigate whether treatment with XBZK granules is effective for PIC. STUDY DESIGN: A multicenter, randomized, double-blinded, placebo-controlled trial. METHODS: Eligible participants from fourteen hospitals were randomly assigned in 3:1 ratio to receive either XBZK granules or placebo for 14 days. The primary outcome was the area under the curve (AUC) of a visual analogue scale (VAS) for cough symptoms. Secondary outcomes included cough symptom score (CSS), time and probability of recovery from cough, traditional Chinese medicine (TCM) syndrome score, relief rates of individual symptoms, Leicester Cough Questionnaire (LCQ) score, and the use of reliever drug. RESULTS: A total of 235 patients (176 in XBZK and 59 in placebo groups) were included in the analysis. The AUC for cough VAS scores was lower in the XBZK than placebo group (-8.10, 95 % CI -14.12 to -2.07, p = 0.009), indicating superiority. XBZK decreased CSS (-0.68 points, 95 % CI -1.13 to -0.22, p = 0.01), shortened time to cough recovery (-2 days, hazard ratio [HR] 1.48, 95 % CI 1.03 to 2.13, p = 0.02), enhanced the probability of cough recovery (risk ratio [RR] 1.66, 95 % CI 1.07 to 2.58, p = 0.03), lowered TCM syndrome score (-0.99 points, 95 % CI -1.58 to -0.40, p = 0.004), increased the rate of daytime (RR 1.84, 95 % CI 1.07 to 3.15, p = 0.02) and nighttime (RR 2.07, 95 % CI 1.29 to 3.35, p = 0.004) cough recovery, and reduced the viscosity of sputum (RR 2.92, 95 % CI 1.66 to 5.13, p < 0.001) compared to placebo. There were no significant differences in LCQ scores and taking reliever drugs between groups. No severe adverse events were reported in either group. CONCLUSIONS: XBZK granules are a promising therapy against PIC, effective in lowering the overall severity of cough, shortening the time to cough recovery, and reducing the viscosity of sputum.
Assuntos
Medicamentos de Ervas Chinesas , Infecções Respiratórias , Humanos , Tosse/tratamento farmacológico , Medicina Tradicional Chinesa , Infecções Respiratórias/tratamento farmacológico , Resultado do Tratamento , Método Duplo-Cego , Medicamentos de Ervas Chinesas/efeitos adversosRESUMO
Community-acquired pneumonia (CAP) is one of the most common infectious diseases, and its morbidity and mortality increase with age. Resistance and mutations development make the use of anti-infective therapy challenging. Chinese patent medicines (CPMs) are often used to treat CAP in China and well tolerable. However, currently there are no evidence-based guideline for the treatment of CAP with CPMs, and the misuse of CPMs is common. Therefore, we established a guideline panel to develop this guideline. We identified six clinical questions through two rounds of survey, and we then systematically searched relevant evidence and performed meta-analyses, evidence summaries and GRADE decision tables to draft recommendations, which were then voted on by a consensus panel using the Delphi method. Finally, we developed ten recommendations based on evidence synthesis and expert consensus. For the treatment of severe CAP in adults, we recommend Tanreqing injection, Reduning injection, Xuebijing injection, Shenfu injection, and Shenmai injection respectively. For the treatment of non-severe CAP in adults, we recommend Tanreqing injection, Reduning injection, Lianhua Qingwen capsule/granule, Qingfei Xiaoyan Pill and Shufeng Jiedu capsule respectively. CPMs have great potential to help in the fight against CAP worldwide, but more high-quality studies are still needed to strengthen the evidence.
RESUMO
BACKGROUND: Aneuploidy pregnancy is a severe major birth defect and causes about 50% spontaneous miscarriages with unknown etiology. To date, only a few epidemiological studies with small sample sizes have investigated the risk factors for aneuploidy pregnancy. TP53, MDM2, and miR-34b/c genes are implicated in tumorigenesis with aneuploidy, yet the function of their polymorphisms in aneuploidy pregnancy susceptibility needs to be clarified. OBJECTIVE: To elucidate the association of TP53 rs1042522 G > C, MDM2 rs2279744 309 T > G, and miR-34b/c rs4938723 T > C specific polymorphisms with aneuploidy pregnancy. METHODS: In the retrospective case-control study, 330 aneuploidies pregnancy women and 813 normal pregnancy controls were recruited between January 2018 and April 2022 at the First People's Hospital of Yunnan Province, Kunming, China. Three functional polymorphisms, the TP53 rs1042522 G > C (Arg72Pro), MDM2 rs2279744 309 T > G, and miR-34b/c rs4938723 T > C, were genotyped using the snapshot method. RESULTS: The frequency distribution of three genotypic variants was not different between case and control pregnant women and was similar to with Hardy-Weinberg Equilibrium (HWE). However, in the younger subgroup (less than 35 years old), a significant difference was detected in allele and recessive model (p = 0.01). In the advanced age subgroup (more than or equal to 35 years old), G of MDM2 rs2279744 T > G revealed a significantly higher frequency in cases than controls (p = 0.045), and miR-34b/c rs4938723 T > C revealed a significant difference under the dominant model (p = 0.03), but no significant differences were observed in other models and in both younger and older subgroup (p > 0.05, respectively). These results suggest that individual polymorphisms were not associated with aneuploidy pregnancy, combined with age, they may serve as a risk factor for aneuploidy pregnancy. CONCLUSION: Combination of TP53 rs1042522 G > C, MDM2 rs2279744 T > G, and miR-34b/c rs4938723 T > C polymorphisms with maternal age may be related to aneuploidy pregnancy susceptibility. These findings might elaborate on the genetic etiology of aneuploidy pregnancy.
Assuntos
Aneuploidia , MicroRNAs , Gravidez , Humanos , Feminino , Adulto , Estudos de Casos e Controles , China , Estudos Retrospectivos , MicroRNAs/genética , Proteína Supressora de Tumor p53/genética , Proteínas Proto-Oncogênicas c-mdm2/genéticaRESUMO
Gentian is a traditional Chinese herb with heat-clearing, damp-drying, inflammation-alleviating and digestion-promoting effects, which is widely used in clinical practice. However, there are many species of gentian. According to the pharmacopoeia, Gentiana manshurica Kitag, Gentiana scabra Bge, Gentiana triflora Pall and Gentianarigescens Franch are included. Therefore, accurately identifying the species of gentian is important in clinical use. In recent years, with the advantages of low cost, convenience, fast analysis and high sensitivity, infrared spectroscopy (IR) has been extensively used in herbal identification. Unlike one-dimensional spectroscopy, a two-dimensional correlation spectrum (2D-COS) can improve the resolution of the spectrum and better highlight the details that are difficult to detect. In addition, the residual neural network (ResNet) is an important breakthrough in convolutional neural networks (CNNs) for significant advantages related to image recognition. Herein, we propose a new method for identifying gentian-related species using 2D-COS combined with ResNet. A total of 173 gentian samples from seven different species are collected in this study. In order to eliminate a large amount of redundant information and improve the efficiency of machine learning, the extracted feature band method was used to optimize the model. Four feature bands were selected from the infrared spectrum, namely 3500-3000 cm-1, 3000-2750 cm-1, 1750-1100 cm-1 and 1100-400 cm-1, respectively. The one-dimensional spectral data were converted into synchronous 2D-COS images, asynchronous 2D-COS images, and integrative 2D-COS images using Matlab (R2022a). The identification strategy for these three 2D-COS images was based on ResNet, which analyzes 2D-COS images based on single feature bands and full bands as well as fused feature bands. According to the results, (1) compared with the other two 2D-COS images, synchronous 2D-COS images are more suitable for the ResNet model, and (2) after extracting a single feature band 1750-1100 cm-1 to optimize ResNet, the model has the best convergence performance, the accuracy of training, test and external validation is 1 and the loss value is only 0.155. In summary, 2D-COS combined with ResNet is an effective and accurate method to identify gentian-related species.