Nevin Manimala

Geospat Health. 2023 May 25;18(1). doi: 10.4081/gh.2023.1175.

ABSTRACT

The rapid increase in out-of-pocket expenditures regressively raises the issue of equity in medical access opportunities according to income class and negatively affects public health. Factors related to out-of-pocket expenses have been analyzed in previous studies using an ordinary regression model (Ordinary Least Squares [OLS]). However, as OLS assumes equal error variance, it does not consider spatial variation due to spatial heterogeneity and dependence. Accordingly, this study presents a spatial analysis of outpatient out-of-pocket expenses from 2015 to 2020, targeting 237 local governments nationwide, excluding islands and island regions. R (version 4.1.1) was used for statistical analysis, and QGIS (version 3.10.9), GWR4 (version 4.0.9), and Geoda (version 1.20.0.10) were used for the spatial analysis. As a result, in OLS, it was found that the aging rate and number of general hospitals, clinics, public health centers, and beds had a positive (+) significant effect on outpatient out-of-pocket expenses. The Geographically Weighted Regression (GWR) suggests regional differences exist concerning out-of-pocket payments. As a result of comparing the OLS and GWR models through the Adj. R² and Akaike’s Information Criterion indices, the GWR model showed a higher fit. This study provides public health professionals and policymakers with insights that could inform effective regional strategies for appropriate out-of-pocket cost management.

PMID:37246540 | DOI:10.4081/gh.2023.1175

Geospat Health. 2023 May 25;18(1). doi: 10.4081/gh.2023.1186.

ABSTRACT

We aimed to explore the district-level temporal dynamics and sub-district level geographical variations of colorectal cancer (CRC) incidence in the Special Region of Yogyakarta Province. We performed a cross-sectional study using data from the Yogyakarta population-based cancer registry (PBCR) comprised of 1,593 CRC cases diagnosed in 2008-2019. The age-standardized rates (ASRs) were determined using 2014 population data. The temporal trend and geographical distribution of cases were analysed using joinpoint regression and Moran’s I statistics. During 2008-2019, CRC incidence increased by 13.44% annually. Joinpoints were identified in 2014 and 2017, which were also the periods when annual percentage change (APC) was the highest throughout the observation periods (18.84). Significant APC changes were observed in all districts, with the highest in Kota Yogyakarta (15.57). The ASR of CRC incidence per 100,000 person- years was 7.03 in Sleman, 9.20 in Kota Yogyakarta, and 7.07 in Bantul district. We found a regional variation of CRC ASR with a concentrated pattern of hotspots in the central sub-districts of the catchment areas and a significant positive spatial autocorrelation of CRC incidence rates in the province (I=0.581, p<0.001). The analysis identified four high-high clusters sub-districts in the central catchment areas. This is the first Indonesian study reported from PBCR data, showing an increased annual CRC incidence during an extensive observation period in the Yogyakarta region. A heterogeneous distribution map of CRC incidence is included. These findings may serve as basis for CRC screening implementation and healthcare services improvement.

PMID:37246534 | DOI:10.4081/gh.2023.1186

Geospat Health. 2023 May 25;18(1). doi: 10.4081/gh.2023.1200.

ABSTRACT

This article examines three spatiotemporal methods used for analyzing of infectious diseases, with a focus on COVID-19 in the United States. The methods considered include inverse distance weighting (IDW) interpolation, retrospective spatiotemporal scan statistics and Bayesian spatiotemporal models. The study covers a 12-month period from May 2020 to April 2021, including monthly data from 49 states or regions in the United States. The results show that the spread of COVID-19 pandemic increased rapidly to a high value in winter of 2020, followed by a brief decline that later reverted into another increase. Spatially, the COVID-19 epidemic in the United States exhibited a multi-centre, rapid spread character, with clustering areas represented by states such as New York, North Dakota, Texas and California. By demonstrating the applicability and limitations of different analytical tools in investigating the spatiotemporal dynamics of disease outbreaks, this study contributes to the broader field of epidemiology and helps improve strategies for responding to future major public health events.

PMID:37246533 | DOI:10.4081/gh.2023.1200

Geospat Health. 2023 May 25;18(1). doi: 10.4081/gh.2023.1203.

ABSTRACT

Chronic respiratory diseases (CRDs) constitute 4% of the global disease burden and cause 4 million deaths annually. This cross-sectional study used QGIS and GeoDa to explore the spatial pattern and heterogeneity of CRDs morbidity and spatial autocorrelation between socio-demographic factors and CRDs in Thailand from 2016 to 2019. We found an annual, positive, spatial autocorrelation (Moran’s I >0.66, p<0.001) showing a strong clustered distribution. The local indicators of spatial association (LISA) identified hotspots mostly in the northern region, while coldspots were mostly seen in the central and north-eastern regions throughout the study period. Of the socio-demographic factors, the density of population, households, vehicles, factories and agricultural areas, correlated with the CRD morbidity rate, with statistically significant negative spatial autocorrelations and coldspots in the north-eastern and central areas (except for agricultural land) and two hotspots between farm household density and CRD in the southern region in 2019. This study identified vulnerable provinces with high risk of CRDs and can guide prioritization of resource allocation and provide target interventions for policy makers.

PMID:37246531 | DOI:10.4081/gh.2023.1203

Geospat Health. 2023 May 25;18(1). doi: 10.4081/gh.2023.1210.

ABSTRACT

Researchers in many fields have discovered the advantage of using geographical information systems (GIS), spatial statistics and computer modelling, but these techniques are only sparingly applied in archaeological research. Writing 30 years ago, Castleford (1992) noted the considerable potential of GIS, but he also felt that its then atemporal structure was a serious flaw. It is clear that the study of dynamic processes suffers if past events cannot be linked to each other, or to the present, but today’s powerful tools have overcome this drawback. Importantly, with location and time as key indices, hypotheses about early human population dynamics can be tested and visualized in ways that can potentially reveal hidden relationships and patterns. […].

PMID:37246530 | DOI:10.4081/gh.2023.1210

Lupus. 2023 May 29:9612033231180358. doi: 10.1177/09612033231180358. Online ahead of print.

ABSTRACT

OBJECTIVES: To determine whether age at menarche (AAM), age at first live birth (AFB), and estradiol levels are causally correlated with the development of systemic lupus erythematosus (SLE).

METHODS: A two-sample Mendelian randomization (MR) analysis was performed after data was collected from a dataset of genome-wide association studies (GWASs) related to SLE (as outcome), and from open access databases to find statistics related to AAM, AFB, and estradiol levels (as exposure).

RESULT: In our study, a negative causal correlation between AAM and SLE was confirmed by MR analysis (MR egger: beta = 0.116, SE = 0.948, p = 0.909; weighted median: beta = -0.416, SE = 0.192, p = 0.030; and IVW: beta = -0.395, SE = 0.165, p = 0.016). However, there were no genetic causal effects of AFB and the estradiol levels on SLE, based on the results of MR analysis as follows: AFB (MR egger: beta = – 2.815, SE = 1.469, p = 0.065; Weighted median: beta = 0.334, SE = 0.378, p = 0.377; and IVW: beta = 0.188, SE = 0.282, p = 0.505) and the estradiol levels (MR egger: beta = 0.139, SE = 0.294, p = 0.651; weighted median: beta = 0.063, SE = 0.108, p = 0.559; IVW: beta = 0.126, SE = 0.097, p = 0.192).

CONCLUSIONS: Our findings revealed that AAM may be associated with increased risk of the development of SLE, while there were no such causal effects from AFB and estradiol levels.

PMID:37246529 | DOI:10.1177/09612033231180358

Technol Cancer Res Treat. 2023 Jan-Dec;22:15330338231175733. doi: 10.1177/15330338231175733.

ABSTRACT

Human cancer statistics show that an increased incidence of urologic cancers such as bladder cancer, prostate cancer, and renal cell carcinoma. Due to the lack of early markers and effective therapeutic targets, their prognosis is poor. Fascin-1 is an actin-binding protein, which functions in the formation of cell protrusions by cross-linking with actin filaments. Studies have found that fascin-1 expression is elevated in most human cancers and is related to outcomes such as neoplasm metastasis, reduced survival, and increased aggressiveness. Fascin-1 has been considered as a potential therapeutic target for urologic cancers, but there is no comprehensive review to evaluate these studies. This review aimed to provide an enhanced literature review, outline, and summarize the mechanism of fascin-1 in urologic cancers and discuss the therapeutic potential of fascin-1 and the possibility of its use as a potential marker. We also focused on the correlation between the overexpression of fascin-1 and clinicopathological parameters. Mechanistically, fascin-1 is regulated by several regulators and signaling pathways (such as long noncoding RNA, microRNA, c-Jun N-terminal kinase, and extracellular regulated protein kinases). The overexpression of fascin-1 is related to clinicopathologic parameters such as pathological stage, bone or lymph node metastasis, and reduced disease-free survival. Several fascin-1 inhibitors (G2, NP-G2-044) have been evaluated in vitro and in preclinical models. The study proved the promising potential of fascin-1 as a newly developing biomarker and a potential therapeutic target that needs further investigation. The data also highlight the inadequacy of fascin-1 to serve as a novel biomarker for prostate cancer.

PMID:37246525 | DOI:10.1177/15330338231175733

Platelets. 2023 Dec;34(1):2216802. doi: 10.1080/09537104.2023.2216802.

ABSTRACT

This prospective study was aimed to test changes in hemostasis in patients with GBM, occurring at baseline (before surgery, time 0, T0) and 2 (T2), 24 (T24), and 48-hour (T48) after surgery. We enrolled consecutive patients subjected to GBM resection (GBR group; N = 60), laparoscopic colon cancer resection (comparative CCR group; N = 40), and healthy blood donors (HBD group; N = 40). We performed 1. conventional coagulation tests 2. ROTEM (rotational thromboelastometry) parameters and 3. platelet function tests, including PFA-200 closure time when stimulated by collagen/epinephrine (COL-EPI) and ROTEM platelet, using three different activators (arachnoid acid in ARATEM, adenosine diphosphate in ADPTEM, and thrombin receptor-activating peptide-6 in TRAPTEM). Variables associated with unfavorable 1-year clinical outcome were investigated, too. We observed in GBR patients that platelet aggregometry, as assessed by ROTEM platelet parameters, was significantly impaired along with a shortened closure time. These changes were evident from T0 to T48. A decreased area under the aggregation curve in TRAPTEM was associated with improved survival (adjusted odd ratio (95% CI), 1.03 (1.01-1.06)). This study suggests that patients with GBM presented a decreased platelet aggregation from before surgery and thorough the postoperative period. Decreased platelet aggregation improved clinical outcome.

PMID:37246516 | DOI:10.1080/09537104.2023.2216802

J Genet Couns. 2023 May 28. doi: 10.1002/jgc4.1732. Online ahead of print.

ABSTRACT

Epilepsy is a common, and often genetic, neurological disorder. Few guidelines exist to help medical providers or insurance companies decide when to order or cover epilepsy panels for patients with epilepsy. The most recent guidelines were published by NSGC after this study’s data collection. Since 2017, the Genetic Testing Stewardship Program (GTSP) at UPMC Children’s Hospital of Pittsburgh (CHP) has been utilizing a set of internally developed epilepsy panel (EP) testing criteria to facilitate appropriate EP ordering practices. The purpose of this study was to assess these testing criteria by determining their sensitivities and positive predictive values (PPV). Retrospective chart review of the electronic medical record (EMR) was performed for 1242 CHP Neurology patients that were evaluated for a primary diagnosis of epilepsy between 2016 and 2018. One hundred and nine patients had EPs at various testing laboratories. Of the patients that met criteria, 17 had diagnostic EPs and 54 had negative EPs. Criteria were organized into category groupings (C1-C4), and analyzed alone for C1, in pairs for C2, etc. The highest sensitivity and PPV results in each category grouping were: C1 (64.7%, 60%); C2, (88%, 30.3%); C3, (94.1%, 27.1%); C4, (94.1%, 25.4%). Family history was crucial to increasing sensitivity. Confidence intervals (CIs) narrowed as category grouping level increased, though this was not statistically significant due to the considerable CI overlap across category groupings. The PPV from C4 was applied to the untested population cohort and predicted 121 patients with unidentified positive EPs. This study presents data supporting the predictive capabilities of EP testing criteria and suggests the addition of a family history criterion. This study impacts public health by encouraging the adoption of evidence-driven insurance policies and by suggesting guidelines to ease EP ordering and coverage decisions, which could potentially improve patient access to EP testing.

PMID:37246482 | DOI:10.1002/jgc4.1732

Brain Behav. 2023 May 28:e3100. doi: 10.1002/brb3.3100. Online ahead of print.

ABSTRACT

INTRODUCTION: Restless legs syndrome (RLS) is a common but underdiagnosed neurological syndrome. It is characterized by the feeling of discomfort and desire to move, especially in the lower extremities, which often occurs at night, and the cure or relief of symptoms with movement. Irisin is a hormonelike polypeptide that was first identified in 2012, weighs 22 kDa, consists of 163 amino acids, and is mainly synthesized in muscle. Its synthesis increases with exercise. Here in this study, we planned to investigate the relationship among serum irisin level, physical activity, lipid profile, and RLS.

MATERIAL AND METHODS: A total of 35 patients with idiopathic RLS and 35 volunteers were included in the study. Then, venous blood was taken from the participants in the morning after 12 h of night fasting.

RESULTS: The mean value of serum irisin level was 16.9 ± 14.1 ng/mL in the case group and 5.1 ± 5.9 ng/mL in the control group, which was statistically quite significant (p < .001). A significant efficiency (under the curve area 0.886 [0.804-0.967]) of irisin value was observed in the differentiation of patients in the case and control groups.

DISCUSSION: Serum irisin level was significantly higher in the case group than in the control group. In conclusion, we suggest that irisin may play a role in the pathophysiology of RLS independently of the intensity and duration of physical activity and anthropometric data, such as body weight, body mass index, and waist/hip ratio.

PMID:37246480 | DOI:10.1002/brb3.3100