Incremental hospital charges associated with obesity as a secondary diagnosis in children

Objective: The objective was to evaluate the association of obesity as a comorbidity with hospital charges, by comparing charges for pediatric hospitalizations with vs. without obesity as a secondary diagnosis. Methods: Using the 2000 Healthcare Cost and Utilization Project (HCUP) Kids’ Inpatient Database (KID), a nationally representative sample of pediatric hospital discharges, we identified the most common non‐pregnancy‐related principal diagnoses for children 2 to 18 years of age: asthma, pneumonia, affective disorders, and appendicitis. For each we compared mean charges and mean length of stay for hospitalizations with vs. without obesity as a secondary diagnosis, adjusting for relevant socio‐demographics and hospital type. Results: Among children's discharges in 2000, 1.1% listed obesity as a secondary diagnosis. These had a disproportionate likelihood of being older, black, Medicaid beneficiaries, and hospitalized at a general hospital. Adjusted mean hospital charges were significantly higher for discharges with obesity as a secondary diagnosis vs. those without: appendicitis ($14,134 vs. $11,049; p < 0.01), asthma ($7766 vs. $6043; p < 0.05), pneumonia ($12,228 vs. $9688; p < 0.05), and affective disorders ($8292 vs. $7769; p < 0.01). Whereas obesity as a secondary diagnosis was associated with a pattern of increased adjusted mean length of stay, only asthma and affective disorders had statistically significant differences (0.6 days) (p < 0.01). Conclusion: This national analysis suggests obesity as a secondary diagnosis is associated with significantly higher charges for the most common reasons for pediatric hospitalizations. This presents a financial imperative for further research to evaluate factors that contribute to higher inpatient charges related to obesity as a comorbidity and underscores the need for obesity prevention initiatives.     

糖尿病性视网膜病变早期mfERG的研究

目的:探讨糖尿病患者糖尿病性视网膜病变早期多焦视网膜电图(multifocal electroretinogram,mfERG)的特点。方法:应用德国ROLAND公司RETIscan系统对24例40眼糖尿病患者,同时对27例40眼正常对照眼记录mfERG。按机器的默认值一阶反应进行记录。整个记录过程中可以分为12个时段,每个时段记录为时间47秒。结果:mERG测得的糖尿病患者组1～5环所在位置的P1波的振幅密度随离心度的增加而降低,P1波和N1波幅值降低和潜伏时延迟。各象限的P1、N1波振幅密度、波幅值降低,潜伏时延迟。结论:糖尿病性视网膜病变受累的区域多发生在黄斑部,功能上的改变早于形态学的变化;病变的早期功能改变最先出现于视网膜的后极偏颞上方;糖尿病患者在未出现眼底改变时各个象限视网膜的外层已经严重受累。     

The concept of mental disorder: diagnostic implications of the harmful dysfunction analysis

What do we mean when we say that a mental condition is a medical disorder rather than a normal form of human suffering or a problem in living? The status of psychiatry as a medical discipline depends on a persuasive answer to this question. The answers tend to range from value accounts that see disorder as a sociopolitical concept, used for social control purposes, to scientific accounts that see the concept as strictly factual. I have proposed a hybrid account, the harmful dysfunction (HD) analysis, that incorporates both value and scientific components as essential elements of the medical concept of disorder, applying to both physical and mental conditions. According to the HD analysis, a condition is a disorder if it is negatively valued ("harmful") and it is in fact due to a failure of some internal mechanism to perform a function for which it was biologically designed (i.e., naturally selected). The implications of this analysis for the validity of symptom-based diagnostic criteria and for challenges in cross-cultural use of diagnostic criteria are explored, using a comparison of the application of DSM diagnostic criteria in the U.S. and Taiwan.     

胃炎性纤维性息肉的临床特征及内镜下诊治

摘要 目的：研究胃炎性纤维性息肉（IFP）的临床特征及内镜下诊断和治疗情况。方法：收集2010.1.1~2021.1.1陕西省人民医院确诊的11例IFP,重点分析其超声内镜表现及临床特征,探索其内镜下治疗价值。结果：IFP多发生在胃窦,均发生于40岁以上人群,男女比例无明显差别,平均直径1.2 cm,大部分临床无症状,有时可引起出血或腹痛。超声内镜示其为粘膜下隆起,孤立、界清,表面多光滑,均起源于粘膜下层,呈低回声,界清,类圆形;内镜下粘膜挖除术治疗IFP,手术时间短,恢复快,并获得完整的标本,术后病理有助确诊。结论：胃炎性纤维性息肉多发生40岁以上人群,多为胃窦孤立的粘膜下病变,多无症状,超声内镜有助于IFP的术前精确评估,内镜下粘膜挖除术是治疗IFP一项安全有效的方法,术后病理最终确诊。     

Promoter methylation as biomarkers for diagnosis of melanoma: A systematic review and meta-analysis

Melanoma is one of the most common skin cancer that is characterized by rapid growth, early metastasis, high malignant, and mortality. Accumulating evidence demonstrated that promoter methylation of tumor-suppressor genes is implicated in the pathogenesis of melanoma. In the current study, we performed a meta-analysis to identify promising methylation biomarkers in the diagnosis of melanoma. We carried out a systematic literature search using Pubmed, Embase, and ISI web knowledge database and found that gene promoter methylation of 50 genes was reported to be associated with the risk of melanoma. Meta-analysis revealed that hypermethylation of claudin 11 (CLDN11; odds ratio [OR], 16.82; 95% confidence interval [CI], 1.97–143.29; p = 0.010), O-6-methylguanine-DNA methyltransferase (MGMT; OR, 5.59; 95% CI, 2.51–12.47; p < 0.0001), cyclin-dependent kinase inhibitor 2A (p16; OR, 6.57; 95% CI, 2.19–19.75; p = 0.0008), retinoic acid receptor β (RAR-β2; OR, 24.31; 95% CI, 4.58–129.01; p = 0.0002), and Ras association domain family member (RASSF1A; OR, 9.35; 95% CI, 4.73–18.45; p < 0.00001) was significantly higher in melanoma patients compared with controls. CLDN11 (OR, 14.52; 95% CI, 1.84–114.55; p = 0.01), MGMT (OR, 8.08; 95% CI, 1.84–35.46; p = 0.006), p16 (OR, 9.44; 95% CI, 2.68–33.29; p = 0.0005), and RASSF1A (OR, 7.72; 95% CI, 1.05–56.50; p = 0.04) hypermethylation was significantly increased in primary melanoma compared with controls. Methylation frequency of CLDN11 (OR, 25.56; 95% CI, 2.32–281.66; p = 0.008), MGMT (OR, 4.64; 95% CI, 1.98–10.90; p = 0.0004), p16 (OR, 4.31; 95% CI, 1.33–13.96; p = 0.01), and RASSF1A (OR, 10.10; 95% CI, 2.87–35.54; p = 0.0003) was significantly higher in metastasis melanoma compared with controls. These findings indicated that CLDN11, MGMT, p16, RAR-β2, and RASSF1A hypermethylation is a risk factor and a potential biomarker for melanoma. CLDN11, MGMT, p16, and RASSF1A promoter methylation may take part in the development of melanoma and become useful biomarkers in the early diagnosis of the disease.     

Exosomes in tuberculosis: Still terra incognita?

Today, diagnosis, vaccination, and treatment of tuberculosis (TB) remain major clinical challenges. Therefore, an introduction of new diagnostic measures and biomarkers is necessary to improve infection control. The ideal biomarker for TB infection can be defined as a host or pathogen-derived biomolecule, which is potent for identifying infection and determining its clinical stage. Exosomes, defined as cell-derived nanovesicles released into biological fluids, are involved in cell–cell communication and immune modulation. These vesicles have emerged as a new platform for improving the clinical diagnosis and prognosis of different infectious diseases and cancers. The role of these nanovehicles, as alternative biomarkers for the improvement of TB diagnosis and treatment, has been demonstrated in a significant body of literature. In this review, we summarized recent progress in the clinical application of exosome-based biomarkers in TB infection.     

Identification of esophageal cancer pathway deviation and construction of a diagnosis model using three kernel genes

The purpose of this study is to better understand the role of interleukin 35 (IL35) in esophageal carcinoma by comparing the mRNA level in Barrett's esophageal mucosa and in matched normal squamous mucosa and to understand how the diagnosis model works with two other genes: hepatocyte nuclear factor 1B (HNF1B) and cAMP responsive element binding protein 3-like 1 (CREB3L1). By comparing carcinoma tissue and normal tissue samples, we extracted all the differentially expressed mRNAs. The bioinformatics analysis resulted in the discovery of three prominent genes. Eventually, the three genes were utilized to train a deep-learning model. An additional wet experiment was conducted to validate the effect of IL35. All the differentially expressed genes were enriched into nine groups, each of which has specific biological functions. Given that the three significant genes HNF1B, CREB3L1, and IL35 as diagnostic features, a deep-learning model was constructed, reaching an accuracy of 93% in the training set and 87% in the test set. Our findings suggest that IL35, along with the other two signatures, can distinguish esophageal tumor samples from normal samples precisely.     

The roles of moonlight ribosomal proteins in the development of human cancers

“Moonlighting protein” is a term used to define a single protein with multiple functions and different activities that are not derived from gene fusions, multiple RNA splicing, or the proteolytic activity of promiscuous enzymes. Different proteinous constituents of ribosomes have been shown to have important moonlighting extra-ribosomal functions. In this review, we introduce the impact of key moonlight ribosomal proteins and dependent signal transduction in the initiation and progression of various cancers. As a future perspective, the potential role of these moonlight ribosomal proteins in the diagnosis, prognosis, and development of novel strategies to improve the efficacy of therapies for human cancers has been suggested.