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Nevin Manimala Statistics

Searching for a prognostic index in lupus nephritis

Eur J Med Res. 2023 Jan 11;28(1):19. doi: 10.1186/s40001-022-00946-y.

ABSTRACT

BACKGROUND: Currently we do not have an ideal biomarker in lupus nephritis (LN) that should help us to identify those patients with SLE at risk of developing LN or to determine those patients at risk of renal progression. We aimed to evaluate the development of a prognostic index for LN, through the evaluation of clinical, analytical and histological factors used in a cohort of lupus. We have proposed to determine which factors, 6 months after the diagnosis of LN, could help us to define which patients will have a worse evolution of the disease and may be, more aggressive treatment and closer follow-up.

METHODS: A retrospective study to identify prognostic factors was carried out. We have included patients over 18 years of age with a clinical diagnosis of systemic lupus erythematosus (SLE) and kidney involvement confirmed by biopsy, who are followed up in our centre during the last 20 years. A multi-step statistical approach will be used in order to obtain a limited set of parameters, optimally selected and weighted, that show a satisfactory ability to discriminate between patients with different levels of prognosis.

RESULTS: We analysed 92 patients with LN, although only 73 have been able to be classified according to whether or not they have presented poor renal evolution. The age of onset (44 vs. 32; p = 0.024), the value of serum creatinine (1.41 vs. 1.04; p = 0.041), greater frequency of thrombocytopenia (30 vs. 7%; p = 0.038), higher score in the renal chronicity index (2.47 vs. 1.04; p = 0.015), proliferative histological type (100%) and higher frequency of interstitial fibrosis (67 vs. 32%; p = 0.017) and tubular atrophy (67 vs. 32%; p = 0.018) was observed between two groups. The multivariate analysis allowed us to select the best predictive model for poor outcome at 6 months based on different adjustment and discrimination parameters.

CONCLUSION: We have developed a prognostic index of poor renal evolution in patients with LN that combines demographic, clinical, analytical and histopathological factors, easy to use in routine clinical practice and that could be an effective tool in the early detection and management.

PMID:36631838 | DOI:10.1186/s40001-022-00946-y

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Nevin Manimala Statistics

Screening and treatment of brain metastasis from papillary thyroid carcinoma: a case series

Thyroid Res. 2023 Jan 11;16(1):1. doi: 10.1186/s13044-023-00146-8.

ABSTRACT

BACKGROUND: The brain metastasis from differentiated thyroid carcinoma (DTC) is a rare condition and its prognosis is poor. The standard protocol for screening and treatment of patients with brain metastases from papillary thyroid cancer (PTC) remains controversial. This report aims to share the experience of a single center in the management of brain metastases from DTC.

MATERIAL AND METHODS: Five patients with brain metastases were identified from 5000 patients with DTC attending the department of nuclear medicine, Hospital 108 between 2016 to 2022. The statistical software Statistical Package for Social Sciences (SPSS) 20.0 (SPSS Inc., Chicago, IL, USA) was used to analyze the data.

RESULTS: Five patients with brain metastases from DTC were revealed by MRI, 18F-FDG PET/CT with contrast enhancement, and 131I-SPECT/CT. The median time of overall survival (OS) was 15 months, ranging from 10 to 65 months. Two out of the five patients underwent surgery, and futher 2 patients were treated with stereotactic surgery (SRS). All patients are still alive.

CONCLUSIONS: Brain metastases from DTC are rare. MRI is the preferred imaging mobility to screen brain lesions in DTC. The primary treatment modalities are surgery and SRS.

PMID:36631835 | DOI:10.1186/s13044-023-00146-8

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Nevin Manimala Statistics

Concealed penis in pediatric age group: a comparison between three surgical techniques

BMC Urol. 2023 Jan 11;23(1):9. doi: 10.1186/s12894-022-01169-3.

ABSTRACT

BACKGROUND: Comparison between three different surgical techniques in the management of concealed penis.

METHODS: This prospective interventional non-randomized study included 150 pediatric patients with a concealed penis. They were distributed equally into three groups; group A; patients treated by anchoring the penile skin dermis to Buck’s fascia at the penile base at 3 and 9 o’clock points using PDS 5/0 (phallopexy), group B; patients treated by complete dissection and excision of dartos fascia and group C; patients treated by phallopexy as in group A after complete dissection and excision of dartos fascia. Follow-up at the end of the 1st post-operative week and then monthly for 6 months as regards penile skin congestion and/or necrosis, wound infection, edema, and/or re-retraction was carried out.

RESULTS: Penile edema and re-retraction have a statistically significant difference among the studied groups (p < 0.001 and p = 0.002 respectively). Penile re-retraction was noticed to be lowest in patients of group C, however penile edema was observed to be highest in patients of group B.

CONCLUSIONS: Phallopexy after complete dissection and excision of dartos fascia have better results than doing either phallopexy or dartos excision alone in the treatment of concealed penis.

CLINICAL TRIAL REGISTRATION: The manuscript was registered in ClinicalTrials.gov Protocol Registration and Results System.

CLINICALTRIALS: gov Identifier: NCT05565040. Our manuscript was registered on 4/10/2022.

PMID:36631822 | DOI:10.1186/s12894-022-01169-3

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Nevin Manimala Statistics

Association of rurality with utilization of palliative care and hospice among Medicare beneficiaries who died from pancreatic cancer: A cohort study

J Rural Health. 2023 Jan 11. doi: 10.1111/jrh.12739. Online ahead of print.

ABSTRACT

BACKGROUND: Pancreatic cancer has a 5-year survival of just 10%. Services such as palliative care and hospice are thus crucial in this population, yet their geographic accessibility and utilization remains unknown.

AIM: We studied the association between rurality of patient residence and the use of palliative care and hospice.

DESIGN, SETTING, AND PARTICIPANTS: Cohort study of continuously enrolled fee-for-service Medicare beneficiaries aged ≥65 diagnosed with incident pancreatic cancer between 04/01/2016-08/31/2018 and who died by 12/31/2018.

RESULTS: In this decedent cohort of 31,460 patients, 77% lived in metropolitan areas, 11% in micropolitan areas, 7% in small towns, and 5% in rural areas. Patient demographics were largely similar across rurality; however, the proportion of White, non-Hispanic patients and social deprivation was highest in rural areas and lowest in metropolitan areas. Overall, 33% of patients used any palliative care and 77% received hospice services. After risk adjustment, there were no statistically significant differences in the use of palliative care for patients residing in metropolitan versus micropolitan, small town, or rural areas. Patients in small town (OR = 0.77, 95% CI: 0.69-0.86) and rural areas (OR = 0.75, 95% CI: 0.66-0.85) had lower adjusted odds of receiving hospice care compared to patients in metropolitan areas.

CONCLUSIONS: The use of palliative care services captured in Medicare was low, representing either underutilization or failure to accurately measure the extent of services used. While the overall level of hospice enrollment was high, patients in rural communities had relatively lower use of hospice services compared to those in metropolitan areas.

PMID:36631820 | DOI:10.1111/jrh.12739

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Nevin Manimala Statistics

Geographic variation and sociodemographic correlates of prescription psychotropic drug use among children and youth in Ontario, Canada: a population-based study

BMC Public Health. 2023 Jan 11;23(1):85. doi: 10.1186/s12889-022-14677-6.

ABSTRACT

BACKGROUND: Population-based research examining geographic variability in psychotropic medication dispensing to children and youth and the sociodemographic correlates of such variation is lacking. Variation in psychotropic use could reflect disparities in access to non-pharmacologic interventions and identify potentially concerning use patterns.

METHODS: We conducted a population-based study of all Ontario residents aged 0 to 24 years who were dispensed a benzodiazepine, stimulant, antipsychotic or antidepressant between January 1, 2018, and December 31, 2018. We conducted small-area variation analyses and identified determinants of dispensing using negative binomial generalized estimating equation models.

RESULTS: The age- and sex-standardized rate of psychotropic dispensing to children and youth was 76.8 (range 41.7 to 144.4) prescriptions per 1000 population, with large variation in psychotropic dispensing across Ontario’s census divisions. Males had higher antipsychotic [rate ratio (RR) 1.40; 95% confidence interval (CI) 1.36 to 1.44) and stimulant (RR 1.75; 95% CI 1.70 to 1.80) dispensing rates relative to females, with less use of benzodiazepines (RR 0.85; 95% CI 0.83 to 0.88) and antidepressants (RR 0.81; 95% CI 0.80 to 0.82). Lower antipsychotic dispensing was observed in the highest income neighbourhoods (RR 0.72; 95% CI 0.70 to 0.75) relative to the lowest. Benzodiazepine (RR 1.12; 95% CI 1.01 to 1.24) and stimulant (RR 1.11; 95% CI 1.01 to 1.23) dispensing increased with the density of mental health services in census divisions, whereas antipsychotic use decreased (RR 0.82; 95% CI 0.73 to 0.91). The regional density of child and adolescent psychiatrists and developmental pediatricians (RR 1.00; 95% CI 0.99 to 1.01) was not associated with psychotropic dispensing.

CONCLUSION: We found significant variation in psychotropic dispensing among young Ontarians. Targeted investment in regions with long wait times for publicly-funded non-pharmacological interventions and novel collaborative service models may minimize variability and promote best practices in using psychotropics among children and youth.

PMID:36631810 | DOI:10.1186/s12889-022-14677-6

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Nevin Manimala Statistics

Prevalence of married women’s decision-making autonomy on contraceptive use and its associated factors in high fertility regions of Ethiopia: a multilevel analysis using EDHS 2016 data

BMC Public Health. 2023 Jan 11;23(1):83. doi: 10.1186/s12889-023-15009-y.

ABSTRACT

BACKGROUND: Women’s independence in reproductive health is crucial to the health of mothers and children. Couples are, however, restricted from discussing their relationship openly. Regarding this, information about women’s decision-making autonomy is low in developing countries including Ethiopia. Therefore, this study was aimed to assess married women’s decision-making autonomy on contraceptive use in high fertility regions of Ethiopia.

METHODS: The study was based on secondary data analysis of the Ethiopian Demographic and Health Survey 2016 data. A total weighted sample of 1157 reproductive age women was included. A multilevel mixed-effect binary logistic regression model was fitted to identify the significant associated factors of decision making autonomy on contraceptive use. Statistical significance was determined using Adjusted Odds Ratio (AOR) with 95% confidence interval.

RESULTS: Overall prevalence of decision making autonomy on contraceptive use was observed to be 17.2% (15.1, 19.5). Women’s age 25-34 (AOR = 3.19; 95% CI:1.55, 6.54), and 35-49 (AOR = 3.59; 95% CI: 1.5, 8.36), secondary and above educational level (AOR = 3.38; 95% CI: 1.07, 10.67), being married before 18 years (AOR = 0.42; 95% CI:0.26, 0.68), being Muslim in religion (AOR = 0.47; 95% CI: 0.23, 0.98), women being in urban area (AOR = 2.73; 95% CI: 1.97, 6.35), and community media exposure (AOR = 1.85; 95% CI: 1.15, 2.48) were associated with decision making autonomy on contraceptive use.

CONCLUSION: Women’s decision-making autonomy on contraceptive use in this study was low. Age of mothers, educational status of mothers, age at first marriage, residence, religion, and community media exposure were significant factors. Therefore, the government should promote women’s autonomy on contraceptive use as an essential component of reproductive health rights through mass media, educating, with particular attention for, youth women, and women living in rural settings.

PMID:36631790 | DOI:10.1186/s12889-023-15009-y

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Nevin Manimala Statistics

Diagnostic value of multiple b-value diffusion-weighted imaging in discriminating the malignant from benign breast lesions

BMC Med Imaging. 2023 Jan 11;23(1):10. doi: 10.1186/s12880-022-00950-y.

ABSTRACT

OBJECTIVE: The conventional breast Diffusion-weighted imaging (DWI) was subtly influenced by microcirculation owing to the insufficient selection of the b values. However, the multiparameter derived from multiple b-value exhibits more reliable image quality and maximize the diagnostic accuracy. We aim to evaluate the diagnostic performance of stand-alone parameter or in combination with multiparameter derived from multiple b-value DWI in differentiating malignant from benign breast lesions.

METHODS: A total of forty-one patients diagnosed with benign breast tumor and thirty-eight patients with malignant breast tumor underwent DWI using thirteen b values and other MRI functional sequence at 3.0 T magnetic resonance. Data were accepted mono-exponential, bi-exponential, stretched-exponential, aquaporins (AQP) model analysis. A receiver operating characteristic curve (ROC) was used to evaluate the diagnostic performance of quantitative parameter or multiparametric combination. The Youden index, sensitivity and specificity were used to assess the optimal diagnostic model. T-test, logistic regression analysis, and Z-test were used. P value < 0.05 was considered statistically significant.

RESULT: The ADCavg, ADCmax, f, and α value of the malignant group were lower than the benign group, while the ADCfast value was higher instead. The ADCmin, ADCslow, DDC and ADCAQP showed no statistical significance. The combination (ADCavg-ADCfast) yielded the largest area under curve (AUC = 0.807) with sensitivity (68.42%), specificity (87.8%) and highest Youden index, indicating that multiparametric combination (ADCavg-ADCfast) was validated to be a useful model in differentiating the benign from breast malignant lesion.

CONCLUSION: The current study based on the multiple b-value diffusion model demonstrated quantitatively multiparametric combination (ADCavg-ADCfast) exhibited the optimal diagnostic efficacy to differentiate malignant from benign breast lesions, suggesting that multiparameter would be a promising non-invasiveness to diagnose breast lesions.

PMID:36631781 | DOI:10.1186/s12880-022-00950-y

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Nevin Manimala Statistics

Correction: A lightweight classification of adaptor proteins using transformer networks

BMC Bioinformatics. 2023 Jan 11;24(1):15. doi: 10.1186/s12859-022-05131-w.

NO ABSTRACT

PMID:36631775 | DOI:10.1186/s12859-022-05131-w

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Nevin Manimala Statistics

Food price volatility and socio-economic inequalities in poor food consumption status during coronavirus disease-2019 lockdown among slum and non-slum households in urban Nansana municipality, Uganda

Nutr J. 2023 Jan 11;22(1):4. doi: 10.1186/s12937-023-00836-x.

ABSTRACT

BACKGROUND: This study assessed staple food price volatility, household food consumption scores (FCS), poor household food consumption status and its association with socio-economic inequalities during enforcing and partial lifting of coronavirus disease-2019 (COVID-19) lockdown restrictions in slum and non-slum households (HHs) of Nansana municipality, Uganda.

METHODS: Repeated cross-sectional surveys were conducted during enforcing and partial lifting of COVID-19 lockdown restrictions. A total of 205 slum and 200 non-slum HHs were selected for the study. Telephone based interviews with HH heads were used to collect data on socio-economic factors. Data for FCS was collected using the World Food Programme FCS method. Prices for staple foods were collected by face-to-face interviews with food vendors from the local market. Mean staple food price differences before COVID-19 lockdown, during enforcing, and partial lifting of lockdown was tested by Analysis of variance with repeated measures. Multivariate logistic regression analysis was used to assess the association between socio-economic variables and poor food consumption status. A statistical test was considered significant at p < 0.05.

RESULTS: Mean staple food prices were significantly higher during enforcing COVID-19 total lockdown restrictions compared to either 1 week before lockdown or partial lifting of lockdown (p < 0.05). Mean FCS for staple cereals and legumes were significantly higher in slum HHs during COVID-19 lockdown compared to when the lockdown was partially lifted (p < 0.05). In slum HHs, the prevalence of poor food consumption status was significantly higher during partial lifting (55.1%) compared to total lockdown of COVID-19 (15.1%), p < 0.05. Among slum HHs during lockdown restrictions, food aid distribution was negatively associated with poor food consumption status (AOR: 0.4, 95% CI: 0.1-0.6), whilst being a daily wage earner was positively associated with poor food consumption status (AOR: 0.5, 95% CI: 0.1-0.6). During partial lifting of COVID-19 lockdown in slum HHs, poor food consumption status was positively associated with female headed HHs (AOR: 1.2, 95%CI: 1.1-1.6), daily wage earners (AOR: 3.2, 95% CI: 2.6-3.8), unemployment (AOR: 1.9, 95% CI: 1.5-2.1) and tenants (AOR: 2.4, 95% CI: 1.8-3.5). Female headed HHs, daily wage earners and tenants were positively associated with poor food consumption status either during enforcing or partial lifting of COVID-19 lockdown restrictions in non-slum HHs.

CONCLUSION: Staple food prices increased during enforcing either the COVID-19 lockdown or partial lifting of the lockdown compared to before the lockdown. During the lockdown, food consumption improved in slum HHs that received food aid compared to those slum HHs that did not receive it. Household heads who were females, daily wage earners, unemployed, and tenants were at risk of poor food consumption status either in slum or non-slum, and therefore needed some form of food assistance either during enforcing or partial lifting of the lockdown.

PMID:36631774 | DOI:10.1186/s12937-023-00836-x

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Nevin Manimala Statistics

Geographic disparities in COVID-19 testing and outcomes in Florida

BMC Public Health. 2023 Jan 11;23(1):79. doi: 10.1186/s12889-022-14450-9.

ABSTRACT

BACKGROUND: Understanding geographic disparities in Coronavirus Disease 2019 (COVID-19) testing and outcomes at the local level during the early stages of the pandemic can guide policies, inform allocation of control and prevention resources, and provide valuable baseline data to evaluate the effectiveness of interventions for mitigating health, economic and social impacts. Therefore, the objective of this study was to identify geographic disparities in COVID-19 testing, incidence, hospitalizations, and deaths during the first five months of the pandemic in Florida. METHODS: Florida county-level COVID-19 data for the time period March-July 2020 were used to compute various COVID-19 metrics including testing rates, positivity rates, incidence risks, percent of hospitalized cases, hospitalization risks, case-fatality rates, and mortality risks. High or low risk clusters were identified using either Kulldorff’s circular spatial scan statistics or Tango’s flexible spatial scan statistics and their locations were visually displayed using QGIS.

RESULTS: Visual examination of spatial patterns showed high estimates of all COVID-19 metrics for Southern Florida. Similar to the spatial patterns, high-risk clusters for testing and positivity rates and all COVID-19 outcomes (i.e. hospitalizations and deaths) were concentrated in Southern Florida. The distributions of these metrics in the other parts of Florida were more heterogeneous. For instance, testing rates for parts of Northwest Florida were well below the state median (11,697 tests/100,000 persons) but they were above the state median for North Central Florida. The incidence risks for Northwest Florida were equal to or above the state median incidence risk (878 cases/100,000 persons), but the converse was true for parts of North Central Florida. Consequently, a cluster of high testing rates was identified in North Central Florida, while a cluster of low testing rate and 1-3 clusters of high incidence risks, percent of hospitalized cases, hospitalization risks, and case fatality rates were identified in Northwest Florida. Central Florida had low-rate clusters of testing and positivity rates but it had a high-risk cluster of percent of hospitalized cases.

CONCLUSIONS: Substantial disparities in the spatial distribution of COVID-19 outcomes and testing and positivity rates exist in Florida, with Southern Florida counties generally having higher testing and positivity rates and more severe outcomes (i.e. hospitalizations and deaths) compared to Northern Florida. These findings provide valuable baseline data that is useful for assessing the effectiveness of preventive interventions, such as vaccinations, in various geographic locations in the state. Future studies will need to assess changes in spatial patterns over time at lower geographical scales and determinants of any identified patterns.

PMID:36631768 | DOI:10.1186/s12889-022-14450-9