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Nevin Manimala Statistics

Adverse drug reactions in hospitals: population estimates for Portugal and the ICD-9-CM to ICD-10-CM crosswalk

BMC Health Serv Res. 2023 Nov 8;23(1):1222. doi: 10.1186/s12913-023-10225-z.

ABSTRACT

BACKGROUND: Adverse drug reactions (ADR), both preventable and non-preventable, are frequent and pose a significant burden. This study aimed to produce up-to-date estimates for ADR rates in hospitals, in Portugal, from 2010 to 2018. In addition, it explores possible pitfalls when crosswalking between ICD-9-CM and ICD-10-CM code sets for ADR identification.

METHODS: The Portuguese Hospital Morbidity Database was used to identify hospital episodes (outpatient or inpatient) with at least one ICD code of ADR. Since the study period spanned from 2010 to 2018, both ICD-9-CM and ICD-10-CM codes based on previously published studies were used to define episodes. This was an exploratory study, and descriptive statistics were used to provide ADR rates and summarise episode features for the full period (2010-2018) as well as for the ICD-9-CM (2010-2016) and ICD -10-CM (2017-2018) eras.

RESULTS: Between 2010 and 2018, ADR occurred in 162,985 hospital episodes, corresponding to 1.00% of the total number of episodes during the same period. Higher rates were seen in the oldest age groups. In the same period, the mean annual rate of episodes related to ADR was 174.2/100,000 population. The episode rate (per 100,000 population) was generally higher in males, except in young adults (aged ’15-20′, ’25-30′ and ’30-35′ years), although the overall frequency of ADR in hospital episodes was higher in females.

CONCLUSIONS: Despite the ICD-10-CM transition, administrative health data in Portugal remain a feasible source for producing up-to-date estimates on ADR in hospitals. There is a need for future research to identify target recipients for preventive interventions and improve medication safety practices in Portugal.

PMID:37940971 | DOI:10.1186/s12913-023-10225-z

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Nevin Manimala Statistics

Factors associated with health-seeking patterns among internally displaced persons in complex humanitarian emergency, Northeast Nigeria: a cross-sectional study

Confl Health. 2023 Nov 8;17(1):54. doi: 10.1186/s13031-023-00552-7.

ABSTRACT

BACKGROUND: Currently, over two million persons are internally displaced because of the complex humanitarian emergency in Nigeria’s northeast region. Due to crowded and unsanitary living conditions, the risk of communicable disease transmission, morbidity, and mortality among this population is high. This study explored patterns and factors associated with health-seeking among internally displaced persons (IDPs) in northeast Nigeria to inform and strengthen disease surveillance and response activities.

METHODS: In a cross-sectional study conducted during June-October 2022, we employed stratified sampling technique to select 2,373 IDPs from 12 IDPs camps. A semi-structured tool was used to collect data on health-seeking patterns, socio-demographics, households, and IDPs camps characteristics. We classified health-seeking patterns into three outcome categories: ‘facility care’ (reference category), ‘non-facility care’ (patent medicine vendors, chemists, traditional healers, religious centers), and ‘home care/no care’. We performed complex survey data analysis and obtained weighted statistical estimates. Univariate analysis was conducted to describe respondents’ characteristics and health-seeking patterns. We fitted weighted multivariable multinomial logistic regression models to identify factors associated with health-seeking patterns.

RESULTS: Of 2,373 respondents, 71.8% were 18 to 39 years old, 78.1% were females, and 81.0% had no formal education. Among the respondents, 75.7% (95% CI: 72.9-78.6) sought ‘facility care’, 11.1% (95% CI: 9.1-13.1) sought ‘non-facility care’, while 13.2% (95% CI: 10.9-15.4) practiced ‘home care/no care’. Respondents who perceived illness was severe (Adjusted Odds Ratio (AOR) = 0.15, [95% CI: 0.08-0.30]) and resided in officially-recognized camps (AOR = 0.26, [95% CI: 0.17-0.39]) were less likely to seek ‘non-facility care’ compared to ‘facility care’. Similarly, respondents who resided in officially-recognized camps (AOR = 0.58, [95% CI: 0.36-0.92]), and received disease surveillance information (AOR = 0.42, [95% CI: 0.26-0.67) were less likely to practice ‘home care/no care’ rather than seek ‘facility care’.

CONCLUSIONS: This population exhibited heterogeneous patterns of health-seeking at facility and non-facility centers. Perception of illness severity and camps’ status were major factors associated with health-seeking. To enhance surveillance, non-facility care providers should be systematically integrated into the surveillance network while ramping up risk communication to shape perception of illness severity, prioritizing unofficial camps.

PMID:37940958 | DOI:10.1186/s13031-023-00552-7

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Nevin Manimala Statistics

Molecular surveillance of chloroquine resistance in Plasmodium vivax isolates from malaria cases in Yunnan Province of China using pvcrt-o gene polymorphisms

Malar J. 2023 Nov 8;22(1):338. doi: 10.1186/s12936-023-04776-z.

ABSTRACT

BACKGROUND: The efficacy of chloroquine treatment for vivax malaria has been rarely evaluated due to a lack of an appropriate testing method. The objective of this study was to conduct molecular monitoring of chloroquine resistance in Plasmodium vivax strains from vivax malaria patients in Yunnan Province, focusing on the analysis of polymorphism in the P. vivax chloroquine resistance transporter protein orthologous gene (pvcrt-o).

METHODS: In accordance with the principles of a cohort study, blood samples were collected from malaria cases diagnosed with a P. vivax mono-infection in Yunnan Province from 2020 to 2022. Segmental PCR was used to amplify the whole pvcrt-o gene in the blood samples and their products were subsequently sequenced. The sequencing data were arranged to obtain the full coding DNA sequence (CDS) as well as the gene’s promoter region sequences. The CDSs were aligned with the reference sequence (XM_001613407.1) of the P. vivax SalI isolate to identify the mutant loci.

RESULTS: From a total of 375 blood samples taken from vivax malaria cases, 272 both whole gene CDSs (1272-1275 bp) and promoter DNA sequences (707 bp) of pvcrt-o gene were obtained. Among the whole CDSs, there were 7 single nucleotide polymorphic sites in which c.7 A>G was the minor allele frequency (MAF) site with 4.4% (12/272) detection rate. The mutation detection rate showed a significant decrease from 9.8% (10/102) in 2020 to 1.1% (1/92) in 2021 and 1.3% (1/78) in 2022, indicating statistical significance (χ2 = 11.256, P < 0.05). Among the identified 12 haplotypes, the majority of which were wild type (75.7%; 206/272). These four mutant haplotypes (Hap_3, Hap_5, Hap_9, and Hap_10) were classified as “K10 insertion type” and accounted for 12.1% (33/272). The detection rate of Hap_3 increased from 1.0% (1/102) in 2020 to 13.0% (12/92) in 2021 and 14.1% (11/78) in 2022, indicating statistical significance. A total of 23.8% (65/272) of the samples exhibited 14 bp (bp) deletions in the promoter region, occurring most frequently in the wild type haplotype (Hap_1) samples at a rate of 28.6% (59/206).

CONCLUSIONS: In recent years in Yunnan Province, a notable proportion of vivax malaria patients are infected by P. vivax strains with a “K10 insertion” and partial sequence deletions in the promoter region of the pvcrt-o gene, necessitating vigilance.

PMID:37940956 | DOI:10.1186/s12936-023-04776-z

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Nevin Manimala Statistics

The effect of combining different sampling tools on the performance of electromagnetic navigational bronchoscopy for the evaluation of peripheral lung lesions and factors associated with its diagnostic yield

BMC Pulm Med. 2023 Nov 8;23(1):432. doi: 10.1186/s12890-023-02711-1.

ABSTRACT

BACKGROUND: We assessed the performance of Electromagnetic navigational bronchoscopy (ENB) as a standalone diagnostic technique and the performance of different sampling tools used during the procedure.

METHODS: We recruited 160 consecutive patients who underwent ENB for peripheral lung lesions (PLL) at a tertiary care centre. The diagnostic performance of ENB and sampling tools was assessed using a logistic regression model and a ROC-curve in which the dependent variable was diagnostic success. A multivariate model was built to predict diagnostic success before performing ENB to select the best candidates for the procedure.

RESULTS: Most patients with PLLs in the study were male (65%), with a mean age of 67.9 years. The yield was 66% when the most common techniques were used together as suction catheter + transbronchial biopsy forceps (TBBx) + bronchoalveolar lavage + bronchial washing (p < 0.001) and increased to 69% when transbronchial needle aspiration (TBNA) and cytology brush were added (p < 0.001). Adding diagnostic techniques such as TBBx and TBNA resulted in an increase in diagnostic performance, with a statistically significant trend (p = 0.002). The logistic model area-under the ROC-curve for diagnostic success during ENB was 0.83 (95% CI:0.75-0.90; p < 0.001), and a logit value ≥ 0.12 was associated with ≥ 50% probability of diagnostic success.

CONCLUSIONS: ENB, as a stand-alone diagnostic tool for the evaluation of PLLs when performed by experienced operators using a multi-modality technique, has a good diagnostic yield. The probability of having a diagnostic ENB could be assessed using the proposed model.

PMID:37940942 | DOI:10.1186/s12890-023-02711-1

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Nevin Manimala Statistics

Study on the correlation between bioelectrical impedance analysis index and protein energy consumption in maintenance dialysis patients

Nutr J. 2023 Nov 9;22(1):56. doi: 10.1186/s12937-023-00890-5.

ABSTRACT

BACKGROUND: Protein-energy wasting (PEW) has been reported to be pretty common in maintenance dialysis patients. However, the existing PEW diagnostic standard is limited in clinical use due to the complexity of it. Bioelectrical impedance analysis (BIA), as a non-invasive nutritional assessment method, can objectively and quantitatively analyze the changes of body tissue components under different nutritional states. We aim to explore the association between PEW and BIA and establish a reliable diagnostic model of PEW.

METHODS: We collected cross-sectional data of 609 maintenance dialysis patients at the First Affiliated Hospital, College of Medicine, Zhejiang University. PEW was diagnosed according to International Society of Renal Nutrition and Metabolism (ISRNM) criteria. Among them, 448 consecutive patients were included in the training set for the establishment of a diagnostic nomogram. 161 consecutive patients were included for internal validation. 52 patients from Zhejiang Hospital were included for external validation of the diagnostic model. Correlation analysis of BIA indexes with other nutritional indicators was performed. Logistic regression was used to examine the association of BIA indexes with PEW. 12 diagnostic models of PEW in maintenance dialysis patients were developed and the performance of them in terms of discrimination and calibration was evaluated using C statistics and Hosmer-Lemeshow-type χ2 statistics. After comparing to existing diagnostic models, and performing both internal and external validation, we finally established a simple but reliable PEW diagnostic model which may have great value of clinical application.

RESULTS: A total of 609 individuals from First Affiliated Hospital, College of Medicine, Zhejiang University and 52 individuals from Zhejiang Hospital were included. After full adjustment, age, peritoneal dialysis (compared to hemodialysis), subjective global assessment (SGA, compared to non-SGA) and water ratio were independent risk factors, while triglyceride, urea nitrogen, calcium, ferritin, BCM, VFA and phase angle were independent protective factors of PEW. The model incorporated water ratio, VFA, BCM, phase angle and cholesterol revealed best performance. A nomogram was developed according to the results of model performance. The model achieved high C-indexes of 0.843 in the training set, 0.841 and 0.829 in the internal and external validation sets, respectively, and had a well-fitted calibration curve. The net reclassification improvement (NRI) showed 8%, 13%, 2%, 38%, 36% improvement of diagnostic accuracy of our model compared with “PEW score model”, “modified PEW score model”, “3-index model”, “SGA model” and “BIA decision tree model”, respectively.

CONCLUSIONS: BIA can be used as an auxiliary tool to evaluate PEW risk and may have certain clinical application value.

PMID:37940938 | DOI:10.1186/s12937-023-00890-5

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Nevin Manimala Statistics

Effect of SEC III protocol on upper airway dimensions in growing class III patients: a retrospective study

BMC Oral Health. 2023 Nov 8;23(1):841. doi: 10.1186/s12903-023-03613-8.

ABSTRACT

BACKGROUND: The primary objective of the study was to evaluate the effects of SEC III (Splints, Class III Elastics, and Chin cup) protocol on the upper airway dimensions using lateral cephalometric radiographs. The secondary objectives were to evaluate the skeletal and dental effects of the SEC III protocol using lateral cephalometric radiographs.

METHODS: The pre- and post-treatment lateral cephalometric radiographs of 24 patients treated using the SEC III protocol were used to address the aim of the study. Children in the pre-pubertal (CS-1 or CS-2) or circumpubertal (CS-3 or CS-4) skeletal maturation stage and having class III dentoskeletal malocclusion were included in the study. Patients with a history of previous orthodontic treatment, maxillofacial surgery or trauma, tonsillectomy, adenoidectomy, or craniofacial malformations were excluded. The pre-treatment and post-treatment lateral cephalometric radiographs were traced, then airway measurements, skeletal measurements, and dental measurements were performed. The results were analysed using paired samples t-test or Wilcoxon signed rank test according to the data normality.

RESULTS: Data of 6 males and 18 females were analysed (Mean age = 11.21 ± 1.02 years). Duration of active treatment was 5.75 ± 1.03 months. Treatment using SEC III protocol resulted in a significant increase in ANB angle (2.92 ± 1.50 degrees, p < 0.001) and Wits appraisal (3.31 ± 1.99 mm) (p < 0.001). The increase in the mandibular plane angle (0.75 ± 1.42 degrees, p = 0.02) and the maxillary length (2.29 ± 2.69 mm, p < 0.001) was statistically significant. Contrarily, the mandibular length did not change significantly (p = 0.10). The maxillary incisors were significantly proclined (4.38 ± 4.28 degrees; p < 0.001), while the mandibular incisors were significantly retroclined (-5.79 ± 6.21 degrees; p < 0.001) following treatment. The change in the nasopharyngeal airway and the retropalatal airway was not statistically significant. The middle and inferior pharyngeal space (retroglossal airway) significantly decreased by 1.33 ± 1.97 mm (p = 0.003) and 1.96 ± 2.48 mm (p = 0.001), respectively.

CONCLUSIONS: Early class III correction using SEC III protocol reduced the retroglossal airway dimensions but did not affect the nasopharyngeal and retropalatal airway dimensions. Correction of the class III dentoskeletal relationship was obtained through both skeletal and dental changes.

PMID:37940933 | DOI:10.1186/s12903-023-03613-8

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Nevin Manimala Statistics

Urine metabolomics for assessing fertility-sparing treatment efficacy in endometrial cancer: a non-invasive approach using ultra-performance liquid chromatography mass spectrometry

BMC Womens Health. 2023 Nov 8;23(1):583. doi: 10.1186/s12905-023-02730-4.

ABSTRACT

OBJECTIVE: This study aimed to reveal the urine metabolic change of endometrial cancer (EC) patients during fertility-sparing treatment and establish non-invasive predictive models to identify patients with complete remission (CR).

METHOD: This study enrolled 20 EC patients prior to treatment (PT) and 22 patients with CR, aged 25-40 years. Eligibility criteria consisted of stage IA high-grade EC, lesions confined to endometrium, normal hepatic and renal function, normal urine test, no contraindication for fertility-sparing treatment and no prior therapy. Urine samples were analyzed using ultraperformance liquid chromatography mass spectrometry (UPLC-MS), a technique chosen for its high sensitivity and resolution, allows for rapid, accurate identification and quantification of metabolites, providing a comprehensive metabolic profile and facilitating the discovery of potential biomarkers. Analytical techniques were employed to determine distinct metabolites and altered metabolic pathways. The statistical analyses were performed using univariate and multivariate analyses, logistic regression and receiver operating characteristic (ROC) curves to discover and validate the potential biomarker models.

RESULTS: A total of 108 different urine metabolomes were identified between CR and PT groups. These metabolites were enriched in ascorbate and aldarate metabolism, one carbon pool by folate, and some amino acid metabolisms pathways. A panel consisting of Baicalin, 5beta-1,3,7 (11)-Eudesmatrien-8-one, Indolylacryloylglycine, Edulitine, and Physapubenolide were selected as biomarkers, which demonstrated the best predictive ability with the AUC values of 0.982/0.851 in training/10-fold-cross-validation group, achieving a sensitivity of 0.975 and specificity of 0.967, respectively.

CONCLUSION: The urine metabolic analysis revealed the metabolic changes in EC patients during the fertility-sparing treatment. The predictive biomarkers present great potential diagnostic value in fertility-sparing treatments for EC patients, offering a less invasive means of monitoring treatment efficacy. Further research should explore the mechanistic underpinnings of these metabolic changes and validate the biomarker panel in larger, diverse populations due to the small sample size and single-institution nature of our study.

PMID:37940929 | DOI:10.1186/s12905-023-02730-4

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Nevin Manimala Statistics

Exploring sustainable energy consumption and social conflict risks in Turkey: Insights from a novel multiresolution ARDL approach

Risk Anal. 2023 Nov 8. doi: 10.1111/risa.14251. Online ahead of print.

ABSTRACT

Nonrenewable energy sources have been shown to be a cause of conflict and terrorism, highlighting the global conflict aspect, but little is known about the causal relationship between the energy system and terrorism in Turkey. This study aims to fill this gap by examining the causal links among renewable energy consumption, fossil fuels, terrorist attacks, education, trade opening, and geopolitical risks in Turkey from 1980 to 2016. Using the autoregressive distributed lag (ARDL) approach and Granger causality tests, the study analyzes the short and long-term relationships between the variables. Additionally, robustness tests are conducted using a powerful multiresolution ARDL approach to ensure the stability of the statistical findings. The results reveal the existence of long-term relationships between all the variables, particularly among terrorism, renewable energy, and education. In the short term, a one-way relationship exists between terrorism and education to renewable energies and from trade openness to terrorism. The study demonstrates that nonrenewable energy increases terrorism in the long term, whereas renewable energy and trade openness reduce terrorism, highlighting the potential impact of global conflicts on Turkey’s sustainable development. Therefore, renewable energy is a powerful tool to fight against terrorism, and Turkey has encouraged its use and deployment of diplomatic efforts to resolve political and military conflicts, particularly in the Middle East. This study provides insights into the complex relationship among sustainable energy consumption, terrorism, education, and trade opening, contributing to the understanding of the geopolitical risks and economics in Turkey. It has implications for policymakers in the region, highlighting the importance of renewable energy and trade openness as tools for conflict resolution and sustainable development in the face of global conflicts.

PMID:37939400 | DOI:10.1111/risa.14251

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Nevin Manimala Statistics

Is Low-Volume High-Intensity Interval Training a Time-Efficient Strategy to Improve Cardiometabolic Health and Body Composition? A Meta-Analysis

Appl Physiol Nutr Metab. 2023 Nov 8. doi: 10.1139/apnm-2023-0329. Online ahead of print.

ABSTRACT

The present meta-analysis aimed to assess the effects of low-volume high-intensity interval training (LV-HIIT; i.e., ≤5 min high-intensity exercise within a ≤15-min session) on cardiometabolic health and body composition. A systematic search was performed in accordance with PRISMA guidelines to assess the effect of LV-HIIT on cardiometabolic health and body composition. Twenty-one studies (moderate to high quality) with a total of 849 participants were included in this meta-analysis. LV-HIIT increased cardiorespiratory fitness (CRF, SMD=1.19 [0.87, 1.50]) while lowering systolic blood pressure (SMD=-1.44 [-1.68, -1.20]), diastolic blood pressure (SMD=-1.51 [-1.75, -1.27]), mean arterial pressure (SMD=-1.55 [-1.80, -1.30]), MetS z-score (SMD=-0.76 [-1.02, -0.49]), fat mass (kg) (SMD=-0.22 [-0.44, 0.00]), fat mass (%) (SMD=-0.22 [-0.41, -0.02]), and waist circumference (SMD= -0.53 [-0.75, -0.31]) compared to untrained control (CONTROL). Despite a total time-commitment of LV-HIIT of only 14-47% and 45-94% compared to moderate-intensity continuous training and HV-HIIT, respectively, there were no statistically significant differences observed for any outcomes in comparisons between LV-HIIT and moderate-intensity continuous training (MICT) or high-volume HIIT. Significant inverse dose-responses were observed between the change in CRF with LV-HIIT and sprint repetitions (β=-0.52 [-0.76, -0.28]), high-intensity duration (β=-0.21 [-0.39, -0.02]), and total duration (β=-0.19 [-0.36, -0.02]), while higher intensity significantly improved CRF gains. LV-HIIT can improve cardiometabolic health and body composition and represent a time-efficient alternative to MICT and HV-HIIT. Performing LV-HIIT at a higher intensity drives higher CRF gains. More repetitions, longer time at high-intensity, and total session duration did not augment gains in CRF.

PMID:37939367 | DOI:10.1139/apnm-2023-0329

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Nevin Manimala Statistics

Association Between the New York SAFE Act and Firearm Suicide and Homicide: An Analysis of Synthetic Controls, New York State, 1999‒2019

Am J Public Health. 2023 Dec;113(12):1309-1317. doi: 10.2105/AJPH.2023.307400.

ABSTRACT

Objectives. To assess the association between the New York Secure Ammunition and Firearms Enforcement Act (NY SAFE Act) and firearm suicide and homicide rates. Methods. We employed a synthetic controls approach to investigate the impact of the NY SAFE Act on firearm suicide and firearm homicide rates. We collected state-level data on firearm mortality from the Centers for Disease Control and Prevention’s Wide-ranging Online Data for Epidemiologic Research (WONDER) database for the period 1999-2019. We derived statistical inference by using a permutation-based in-place placebo test. Results. The implementation of the NY SAFE Act was associated with a significant reduction in firearm homicide rates, demonstrating a decrease of 63%. This decrease corresponds to an estimated prevention of 1697 deaths between 2013 and 2019. However, there was no association between the NY SAFE Act and firearm suicide rates. Conclusions. As the responsibility for enacting firearm policies increasingly falls on states instead of the federal government, this study provides valuable information that can assist states in making evidence-based decisions regarding the development and implementation of firearm policies that prioritize public safety and aim to prevent firearm-related fatalities. (Am J Public Health. 2023;113(12):1309-1317. https://doi.org/10.2105/AJPH.2023.307400).

PMID:37939334 | DOI:10.2105/AJPH.2023.307400