Spatial and single-cell analyses uncover links between ALKBH1 and tumor-associated macrophages in gastric cancer.

BACKGROUND: AlkB homolog 1, histone H2A dioxygenase (ALKBH1), a crucial enzyme involved in RNA demethylation in humans, plays a significant role in various cellular processes. While its role in tumor progression is well-established, its specific contribution to stomach adenocarcinoma (STAD) remains elusive. This study seeks to explore the clinical and pathological relevance of ALKBH1, its impact on the tumor immune microenvironment, and its potential for precision oncology in STAD. METHODS: We adopted a comprehensive multi-omics approach to identify ALKBH1 as an potential diagnostic biomarker for STAD, demonstrating its association with advanced clinical stages and reduced overall survival rates. Our analysis involved the utilization of publicly available datasets from GEO and TCGA. We identified differentially expressed genes in STAD and scrutinized their relationships with immune gene expression, overall survival, tumor stage, gene mutation profiles, and infiltrating immune cells. Moreover, we employed spatial transcriptomics to investigate ALKBH1 expression across distinct regions of STAD. Additionally, we conducted spatial transcriptomic and single-cell RNA-sequencing analyses to elucidate the correlation between ALKBH1 expression and immune cell populations. Our findings were validated through immunohistochemistry and bioinformatics on 60 STAD patient samples. RESULTS: Our study unveiled crucial gene regulators in STAD linked with genetic variations, deletions, and the tumor microenvironment. Mutations in these regulators demonstrated a positive association with distinct immune cell populations across six immune datasets, exerting a substantial influence on immune cell infiltration in STAD. Furthermore, we established a connection between elevated ALKBH1 expression and macrophage infiltration in STAD. Pharmacogenomic analysis of gastric cancer cell lines further indicated that ALKBH1 inactivation correlated with heightened sensitivity to specific small-molecule drugs. CONCLUSION: In conclusion, our study highlights the potential role of ALKBH1 alterations in the advancement of STAD, shedding light on novel diagnostic and prognostic applications of ALKBH1 in this context. We underscore the significance of ALKBH1 within the tumor immune microenvironment, suggesting its utility as a precision medicine tool and for drug screening in the management of STAD.

Multi-Omics Reveals the Role of Osteopontin/Secreted Phosphoprotein 1 in Regulating Ovarian Aging.

Secreted phosphoprotein 1 (SPP1), also known as osteopontin (OPN), is located on chromosome 4q22.1. This multifunctional secreted acidic glycoprotein is expressed intracellularly and extracellularly in various tissues, where it interacts with regulatory proteins and pro-inflammatory immune chemokines, contributing to the pathogenesis of multiple diseases. Nevertheless, the intricate genetic connections between SPP1 and ovarian aging remain largely unexplored. This study aims to bridge this knowledge gap by delving into ovarian aging and its associations with SPP1 using multi-omics data analysis. Our findings indicate that SPP1 is a potential gene related to ovarian aging. To comprehend the role of SPP1, we conducted spatial transcriptomic analyses on young and aged female mouse ovaries, revealing a significant decline in SPP1 expression in the aging group compared to the young group. Similarly, a significantly low level of SPP1 was found in the 73-year-old sample. Additionally, in-depth single-cell RNA-sequencing analysis identified associations between SPP1 and ITGAV, ITGB1, CD44, MMP3, and FN1. Notably, co-expression analysis highlighted a strong correlation between SPP1 and ITGB1. In summary, this study pioneers the identification of SPP1 as a gene implicated in ovarian aging. Further research into the role of SPP1 has the potential to advance precision medicine and improve treatment strategies for ovarian aging-related conditions.

Severe inflammatory disorder in trisomy 8 without myelodysplastic syndrome and response to methylprednisolone: A case report.

BACKGROUND: Patients with trisomy 8 consistently present with myeloid neoplasms and/or auto-inflammatory syndrome. A possible link between myelodysplastic syndromes (MDS) with trisomy 8 (+8-MDS) and inflammatory disorders is well recognized, several cases having been reported. However, inflammatory disorders in patients without MDS have been largely overlooked. Generally, Behçet's disease is the most common type in +8-MDS. However, inflammatory disorders with pulmonary involvement are less frequent, and no effective treatment has been established. CASE SUMMARY: A 27-year-old man with recurrent fever, fatigue for > 2 mo, and unconsciousness for 1 day was admitted to our emergency department with a provisional diagnosis of severe pneumonia. Vancomycin and imipenem were administered and sputum collected for metagenomic next-generation sequencing. Epstein-Barr virus and Mycobacterium kansasii were detected. Additionally, chromosomal analysis showed duplications on chromosome 8. Two days later, repeat metagenomic next-generation sequencing was performed with blood culture. Cordyceps portugal, M. kansasii, and Candida portugal were detected, and duplications on chromosome 8 confirmed. Suspecting hematological disease, we aspirated a bone marrow sample from the iliac spine, examination of which showed evidence of infection. We added fluconazole as further antibiotic therapy. Seven days later, the patient's condition had not improved, prompting addition of methylprednisolone as an anti-inflammatory agent. Fortunately, this treatment was effective and the patient eventually recovered. CONCLUSION: Severe inflammatory disorders with pulmonary involvement can occur in patients with trisomy 8. Methylprednisolone may be an effective treatment.

Early prediction of 30- and 14-day all-cause unplanned readmissions.

BACKGROUND: An unplanned readmission is a dual metric for both the cost and quality of medical care. METHODS: We employed the random forest (RF) method to build a prediction model using a large dataset from patients' electronic health records (EHRs) from a medical center in Taiwan. The discrimination abilities between the RF and regression-based models were compared using the areas under the ROC curves (AUROC). RESULTS: When compared with standardized risk prediction tools, the RF constructed using data readily available at admission had a marginally yet significantly better ability to identify high-risk readmissions within 30 and 14 days without compromising sensitivity and specificity. The most important predictor for 30-day readmissions was directly related to the representing factors of index hospitalization, whereas for 14-day readmissions the most important predictor was associated with a higher chronic illness burden. CONCLUSIONS: Identifying dominant risk factors based on index admission and different readmission time intervals is crucial for healthcare planning.

Using Healthcare Complaints Analysis Tool to Evaluate Patient Complaints during the COVID-19 Pandemic at a Medical Center in Taiwan.

The purpose of this study is to evaluate patient complaints using the Healthcare Complaints Analysis Tool (HCAT) during the COVID-19 pandemic in 2021 in Taiwan. Additionally, the study examines the distribution and type of patient complaints before and during the COVID-19 pandemic to provide a better clinical procedure, hospital management and patient relationship. This study utilizes a cross-sectional design. We collected patient complaints from January 2021 to December 2021 at a medical center in Southern Taiwan. Using the Healthcare Complaints Analysis Tool (HCAT), the patient complaints are classified and coded into three major domains (clinical, management and relationship), and seven problem categories (quality, safety, environment, institutional process, respect and patient rights, listening and communication). We further compared and categorized the complaints based on whether they were COVID-19-related or not and whether it was before or during the COVID-19 pandemic to understand the differences in patient complaints. In total, we collected 584 events of patient complaints. Based on the HCAT domains, the complaints about management were the highest, at 52.9%, followed by complaints about relationship, about 37.7%. According to the types of problem, the complaints about the environment were the highest, about 32.5% (190/584), followed by communication at about 29.6% (173/584), and institutional process at about 20.4% (119/584). There were 178 COVID-19-related complaints and they were made more frequently during Q3 and Q4 (from mid-June to December) which was the pandemic period in 2021 in Taiwan. Among the COVID-19-related complaints, the most frequent were in the environment domain with 114 cases (about 65.7% of COVID-19-related complaints). The domains of patient complaints were statistically different between COVID-19-related and non-related (p < 0.001). During the COVID-19 pandemic, the proportion of COVID-19-related complaints increased 1.67 times (117/312 vs. 61/272, p < 0.001). Both prior to and during the COVID-19 pandemic, management-related complaints represented the highest domain. During the COVID-19 pandemic, the implementation of infectious disease prevention and control policies and actions may have developed some inconvenience and difficulty in seeking medical practice and process. These characteristics (complaints) are more prominent, and timely and patient-first consideration is required immediately to build up better clinical procedures, the healthcare environment and comprehensive communication. Using the HCAT can allow health centers or health practitioners to understand the needs and demands of patients through complaints, provide friendly medical and health services, avoid unequal information transmission, build trust in doctor−patient relationships and improve patients' safety.

Holiday ratio of hospitalization and 30-day readmission rates among cancer patients after major surgery.

BACKGROUND: To determine the association of 30-day readmission with weekend discharge and the number of holiday days during a hospital stay (holiday ratio). METHODS: This retrospective cohort study used the clinical research database and cancer registry data of our hospital from January 1, 2011 to December 31, 2017. Patient characteristics, tumor factors, clinical laboratory data, and proxies of continuity of care, such as weekend discharge or holiday ratio (holiday days/total hospitalization days), received statistical analysis. Multivariate logistic regression identified the independent factors for 30-day potentially avoidable readmission rate (PAR). RESULTS: Of 1433 patients receiving tumor resection, 520 (36.29%) had colon cancer; 440 (30.70%) had head and neck cancer (HNC), and 473 (33.01%) had other cancers (lung, liver, and prostate). The rate of 30-day PAR was 6.3% for those with colon cancer, 8.6% for HNC, and 3.6% for other cancers. The 30-day PAR did not significantly differ by discharge on a weekend versus weekday for those with colon cancer (8.33% vs. 5.90%; p = 0.379), HNC (7.06% vs. 9.01%; p = 0.566), or other cancers (0.00% vs. 4.28%; p = 0.960). Colon cancer patients with holiday ratio >0.3 had a higher readmission rate (9.58% vs. 4.82%, p = 0.041). In multivariate analysis, a holiday ratio >0.3 (adjusted odds ratio 2.16; 95% Confidence Interval, 1.05-4.39) in those with colon cancer was an independent predictor of 30-day PAR. CONCLUSIONS: Weekend discharge after major surgery did not affect 30-day readmission rates in cancer patients, but the holiday ratio did affect 30-day PAR for those with colon cancer.

Older veterans associated with reduced risk of cancer: Retrospective nationwide matched cohort study in Taiwan.

Importance: It remains unknown whether Taiwanese veterans have a lower risk of subsequent cancer compared with non-veterans. Objective: To examine whether veterans are associated with reduced cancer risk. Methods: From January 2004 to December 2017, this study included 957 veterans and 957 civilians who were propensity score (PS) matched by years of birth, sex, residence, index year, days in the hospital, frequency of outpatient visits, and relevant comorbidities at baseline. Multivariate Cox proportional hazards regression analysis was applied to compare the risks of cancer, overall and by subgroup, and mortality. All the participants were cancer free at the baseline. Exposures: Veterans retrieved from Taiwan National Health Insurance Research Database (NHIRD). Main outcome: Cancer extracted from the Registry for Catastrophic Illness Patients Database (RCIPD). Results: Overall, 1,914 participants were included, and 957 veterans with a mean (SD) age of 75.9 (6.79) years and 946 men (98.9%). The mean follow-up was about 10.5 (±4.51) years. Cancer was recorded in 6.68% (N = 64) and 12.12% (N = 116) of veterans and non-veterans, respectively. Veterans were associated with decreased risk [adjusted hazard ratio (aHR), 0.57; 95% CI: 0.41-0.78; P < 0.001] of cancer compared with civilians after controlling for age, sex, urbanization, hypertension, diabetes, hyperlipidemia, cardiovascular event, COPD, asthma, chronic liver disease, alcohol-related illness, and Parkinson's disease. Cancer subgroup analyses verified this finding (HRs <1.0). The decreased incidence rate was predominantly for liver cancer (aHR, 0.18; 95% CI: 0.05-0.72; P < 0.05). Conclusion: Taiwanese older veterans are associated with reduced overall cancer risk than individuals without veteran status.

Comparison of Back-Propagation Neural Network, LACE Index and HOSPITAL Score in Predicting All-Cause Risk of 30-Day Readmission.

BACKGROUND: The main purpose of this study is to predict the all-cause risk of 30-day readmission by employing the back-propagation neural network (BPNN) in comparison with traditional risk assessment tools of LACE index and HOSPITAL scores. METHODS: This was a retrospective cohort study from January 1st, 2018 to December 31st, 2019. A total of 55,688 hospitalizations from a medical center in Taiwan were examined. The LACE index (length of stay, acute admission, Charlson comorbidity index score, emergency department visits in previous 6 months) and HOSPITAL score (hemoglobin level at discharge, discharge from an Oncology service, sodium level at discharge, procedure during hospital stay, Index admission type, number of hospital admissions during the previous year, length of stay) are calculated. We employed variables from LACE index and HOSPITAL score as the input vector of BPNN for comparison purposes. RESULTS: The BPNN constructed in the current study has a considerably better ability with a C statistics achieved 0.74 (95% CI 0.73 to 0.75), which is statistically significant larger than that of the other two models using DeLong's test. Also, it was possible to achieve higher sensitivity (70.32%) without penalizing the specificity (71.76%) and accuracy (71.68%) at its optimal threshold, which is at the 20% of patients with the highest predicted risk. Moreover, it is much more informative than the other two methods because of a considerably higher LR+ and a lower LR-. CONCLUSION: Our findings suggest that more attention should be paid to methods based on non-linear classification systems, as they lead to substantial differences in risk-scores.

Factors that infertile couples from mainland China may take into consideration for cross-border reproductive care - A cross-sectional questionnaire study.

OBJECTIVE: Cross-border reproductive care (CBRC) has become popular in the world, including mainland China. We designed a questionnaire and aimed to determine the main factors that infertile couples from mainland China may consider for CBRC. MATERIALS AND METHODS: In this cross-sectional questionnaire-based study, we retrospectively analyzed the data from questionnaires collected at the Reproductive Center of Beijing BaoDao Obstetrics and Gynecology Hospital from January 2018 to June 2018. The questionnaire contained 38 items that belonged to six different categories (environment and equipment, service quality, patient safety, medical quality, information acquisition channel and overseas medical services). The item scores for each factor were calculated and then weighted using principal component analysis. RESULTS: A total of 297 infertile couples were identified. Most of the infertile women were aged 31-35 years, were married 1-3 years, and had a bachelor's degree. In the weighted factor analysis, "clean outpatient clinic and medical equipment" had the highest weight in the dimension of environment and equipment. The item with the highest weight in the dimension of service quality was "wait time for examination". In the dimension of patient safety, "health education on medication and surgery by counselors" had the highest weight. The item with the highest weight in the dimension of medical quality was "fee charged for ART treatment". The items with the three highest weights in the dimension of information acquisition channel were "other (seminar, exhibition, dissertation …)", "introduction from friends and relatives", and "telephone inquiry". In the dimension of overseas medical services, the two items with the highest weights were "cultural similarities" and "language similarities". CONCLUSION: For CBRC, infertile couples from mainland China may take following significant factors into consideration: a high success rate and inexpensive treatment, cultural and linguistic familiarity, high-quality service and short wait time.

New prediction tool-LIST-with improved prediction accuracy for 30-day readmission rates in patients with head and neck cancer after major cancer surgery.

We hope to establish a new readmission prediction score for patients with head and neck cancer (HNC) after major cancer surgery. A retrospective cohort study was conducted from the clinical and cancer registry data at Kaohsiung Veterans General Hospital. We included the data of patients with newly diagnosed HNC who underwent surgical treatment between Nov 2010 and Dec 2017. Multivariate logistic regression was performed to determine independent factors for 30-day readmission rate and establish a new prediction score. We compared the discriminatory ability of our new prediction score, HOSPTIAL score, and LACE index using linear trend chi-square test, the Akaike information criterion (AIC), and c-statistic. The 487 patients with HNC who underwent major surgery were discharged from the medical center. Of these patients, 40 (8.2%) were readmitted to the same hospital within 30 days. Our prediction score, namely LIST (representing leukocytosis, Charlson comorbidity index score of > 0, length of stay of top 33% for the total population, and advanced tumor stage) was derived through multivariate logistic regression. Compared with the HOSPITAL score and LACE index, LIST had a higher linear trend chi-square value (27.8 vs 4.3 and 6.3), higher prediction accuracy (0.743 vs 0.586 and 0.589), and lower AIC value (251 vs 274 and 272). The LIST can estimate 30-day readmission rates in patients with HNC. More intensive discharge planning and transition of care along with patient education can be applied to this high-risk group before discharge.

Factors that influence infertile couples' selection of reproductive medicine centers---A cross-sectional questionnaire study.

OBJECTIVE: The number of infertile women undergoing in vitro fertilization (IVF) cycles has increased annually. Due to this competitive environment, we designed a questionnaire and aimed to investigate factors affecting the choice of reproductive medicine center among infertile couples. MATERIALS AND METHODS: This was a retrospective cross-sectional study that analyzed questionnaires provided by the reproductive medicine center of the Kaohsiung Veterans General Hospital from January 2018 to June 2018. In the questionnaire, there are six categories (environment and equipment, service quality, patient safety, medical quality, information acquisition channel and other) and 36 items. The identified factors were scored and then weighted using principal component analysis. RESULTS: Most of the 100 identified infertile women were aged 31-35 years, were married 1-3 years, and had a university education level. In the weight analysis, "Clean outpatient clinic and medical equipment" had the greatest weight in the dimension of environment and equipment. The item with the greatest weight in the dimension of service quality was "Waiting time for registration, charging, and receiving medicine". In the dimension of patient safety, "Privacy is highly respected by medical personnel" had the highest weight. The item with the greatest weight in the dimension of medical quality was "Success rate of reproductive medicine center". The three items with the highest weights in the dimension of information acquisition channel were "Newspapers and magazines", "TV media", and "Facebook page and website of our hospital". In the other dimensions, the two with the greatest weights were "Reputation of the hospital" and "Reputation of physicians". CONCLUSION: In the infertile couples' view, optimal reproductive medicine centers should have a high success rate and great reputation on the internet and in mass media. Additionally, a short waiting time and high levels of privacy and confidentiality are also imperative.