The Minimum Dietary Diversity for Women (MDD-W) Score: Its Association With the Prevalence and Severity of Anemia in Pregnancy.

BACKGROUND: Anemia during pregnancy is a very common medical disorder and is usually related to poor dietary nutrients. OBJECTIVE:  The objective of this study was to study the Minimum Dietary Diversity for Women (MDD-W) score during pregnancy and its correlation with the prevalence and severity of anemia in a tertiary referral hospital. MATERIAL AND METHOD: A total of 430 women in their second and third trimesters of pregnancy were included and details of sociodemographic, obstetric, and nutritional factors were asked from all participants. MDD-W score was calculated and was correlated with the prevalence and severity of anemia. RESULTS: The mean age, median parity, and mean body mass index were 26.2 years, 2, and 22.4 kg/m2,respectively. Of the patients, 30% were in lower socioeconomic classes. Anemia was seen in 250 (48.84%) women, being mild in 25.81%, moderate in 15-8%, and severe in 7.04%. A total of 49.3% of patients were vegetarian. The mean dietary calories and protein and iron intake were less in anemic patients. MDD-W score was 6.2±1.2 in the normal hemoglobin group, which was significantly higher than the anemia group (3.8±0.75). The mean MDD-W score was 4.4±0.9 in mild anemia, 3.5±0.7 in moderate anemia, and only 2.2±0.45 in severe anemia. CONCLUSION: The MDD-W score was significantly less in anemic pregnant patients, being least in patients with severe anemia.

A Comparison Between W Score and RYAN Score in Diagnosing Laryngopharyngeal Reflux Disease.

OBJECTIVE: To assess the diagnostic value of the W score in differentiating laryngopharyngeal reflux disease (LPRD) patients from the normal population by pharyngeal pH (Dx-pH) monitoring, compared with the RYAN score. METHODS: One hundred and eight patients with suspected LPRD and complete follow-up results after more than 8 weeks of anti-reflux therapy were enrolled from the Department of Otolaryngology-Head and Neck Surgery, Gastroenterology and Respiratory Medicine of seven hospitals. Their Dx-pH monitoring data before treatment were reanalyzed to obtain the W score in addition to the RYAN score and then the diagnostic sensitivity and specificity were compared and evaluated with reference to the result of anti-reflux therapy. RESULTS: In eighty-seven (80.6%) cases, anti-reflux therapy was effective, and in 21 patients (19.4%), therapy was ineffective. Twenty-seven patients (25.0%) had a positive RYAN score. The W score was positive in 79 (73.1%) patients. There were 52 patients who had a negative RYAN score, but a positive W score. The diagnostic sensitivity, specificity, positive predictive value, and negative predictive value of the RYAN score were 28.7%, 90.5%, 92.6%, and 23.5%, respectively (kappa = 0.092, P = 0.068), whereas those of the W score for LPRD was 83.9%, 71.4%, 92.4%, and 51.7%, respectively (kappa = 0.484, P < 0.001). CONCLUSIONS: W score is much more sensitive for the diagnosis of LPRD. Prospective studies with larger patient populations are necessary to validate and improve diagnostic efficacy. TRIAL REGISTRATION: Chinese Clinical Trial Registry: ChiCTR1800014931.

Crosstalk Between Four Types of RNA Modification Writers Characterizes the Tumor Immune Microenvironment Infiltration Patterns in Skin Cutaneous Melanoma.

The "writers" of four types of adenosine (A)-related RNA modifications (N6-methyladenosine, N1-methyladenosine, alternative polyadenylation, as well as A-to-inosine RNA editing) are closely related to the tumorigenesis and progression of many cancer types, including skin cutaneous melanoma (SKCM). However, the potential roles of the crosstalk between these RNA modification "writers" in the tumor microenvironment (TME) remain unclear. The RNA modification patterns were identified using an unsupervised clustering method. Subsequently, based on differentially expressed genes responsible for the aforementioned RNA modification patterns, an RNA modification "writer" scoring model (W_Score) was constructed to quantify the RNA modification-associated subtypes in individual patients. Moreover, a correlation analysis for W_Score and the TME characteristics, clinical features, molecular subtypes, drug sensitivities, immune responses, and prognosis was performed. We identified three RNA modification patterns, corresponding to distinct tumor immune microenvironment characteristics and survival outcomes. Based on the W_Score score, which was extracted from the RNA modification-related signature genes, patients with SKCM were divided into high- and low-W_Score groups. The low-W_Score group was characterized by better survival outcomes and strengthened immunocyte infiltration. Further analysis showed that the low-W_Score group was positively associated with higher tumor mutation burden and PD-L1 expression. Of note, two immunotherapy cohorts demonstrated that patients with low W_Score exhibited long-term clinical benefits and an enhanced immune response. This study is the first to systematically analyze four types of A-related RNA modifications in SKCM, revealing that these "writers" essentially contribute to TME complexity and diversity. We quantitatively evaluated the RNA modification patterns in individual tumors, which could aid in developing personalized immunotherapy strategies for patients.

Normalization of cortical thickness measurements across different T1 magnetic resonance imaging protocols by novel W-Score standardization.

BACKGROUND: The use of different 3D T1-weighted magnetic resonance (T1 MR) imaging protocols induces image incompatibility across multicenter studies, negating the many advantages of multicenter studies. A few methods have been developed to address this problem, but significant image incompatibility still remains. Thus, we developed a novel and convenient method to improve image compatibility. METHODS: W-score standardization creates quality reference values by using a healthy group to obtain normalized disease values. We developed a protocol-specific w-score standardization to control the protocol effect, which is applied to each protocol separately. We used three data sets. In dataset 1, brain T1 MR images of normal controls (NC) and patients with Alzheimer's disease (AD) from two centers, acquired with different T1 MR protocols, were used (Protocol 1 and 2, n = 45/group). In dataset 2, data from six subjects, who underwent MRI with two different protocols (Protocol 1 and 2), were used with different repetition times, echo times, and slice thicknesses. In dataset 3, T1 MR images from a large number of healthy normal controls (Protocol 1: n = 148, Protocol 2: n = 343) were collected for w-score standardization. The protocol effect and disease effect on subjects' cortical thickness were analyzed before and after the application of protocol-specific w-score standardization. RESULTS: As expected, different protocols resulted in differing cortical thickness measurements in both NC and AD subjects. Different measurements were obtained for the same subject when imaged with different protocols. Multivariate pattern difference between measurements was observed between the protocols. Classification accuracy between two protocols was nearly 90%. After applying protocol-specific w-score standardization, the differences between the protocols substantially decreased. Most importantly, protocol-specific w-score standardization reduced both univariate and multivariate differences in the images while maintaining the AD disease effect. Compared to conventional regression methods, our method showed the best performance for in terms of controlling the protocol effect while preserving disease information. CONCLUSIONS: Protocol-specific w-score standardization effectively resolved the concerns of conventional regression methods. It showed the best performance for improving the compatibility of a T1 MR post-processed feature, cortical thickness.