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Nevin Manimala Statistics

The facilitated sensemaking model as a framework for nursing intervention on family members of mechanically ventilated patients in the intensive care unit

Worldviews Evid Based Nurs. 2022 Oct 8. doi: 10.1111/wvn.12606. Online ahead of print.

ABSTRACT

BACKGROUND: Adverse psychological outcomes are prevalent among family members of intensive care unit (ICU) patients. The facilitated sensemaking model (FSM) provides a framework for understanding how intensive care nurses can help these family members overcome situations in which a loved one is critically ill, and reduce adverse psychological outcomes through the facilitated sensemaking process.

AIMS: This study aimed to implement FSM-based research performed by ICU nurses and patients’ family members to investigate the impact of the facilitated sensemaking intervention on the psychological status of ICU families.

METHODS: The intervention was performed by nurses on 80 family members of mechanically ventilated patients, 40 in the control group and 40 in the experimental group. The control group only received routine medical services, while the experimental group received the nursing intervention based on FSM in addition to routine medical services. Anxiety, depression, and post-traumatic stress disorder (PTSD) were measured with the Self-Rating Anxiety Scale, Self-Rating Depression Scale, and Post-Traumatic Stress Disorder Check-List-Civilian Version (PCL-C), respectively. SPSS version 25.0 was applied to analyze the data; what is more, some statistical methods, including descriptive statistical analysis, chi-square test and t-test were further adopted.

RESULTS: Before the intervention, there were no significant differences in anxiety, depression, and PTSD of family members of ICU mechanical ventilation patients between the two groups (p > .05). After the intervention, the score of anxiety, depression, and PTSD of family members in the control group and the experimental group were 41.50 ± 5.738 versus 36.50 ± 4.385, p < .001; 45.28 ± 8.089 versus 42.13 ± 5.725, p < .05; and 30.55 ± 7.595 versus 27.55 ± 4.696, p < .05, respectively. The nursing intervention based on FSM significantly alleviated anxiety, depression, and PTSD of mechanical ventilation patients’ family members.

LINKING EVIDENCE TO ACTION: The nursing intervention based on FSM significantly alleviated anxiety, depression, and PTSD of mechanical ventilation patients’ family members. However, there was only a statistically significant difference in the avoidance and numbness symptom cluster of PTSD via the PCL-C. Therefore, the observation time after the implementation of the FSM intervention needs to be extended in the future to clarify the effect of the intervention. Further efforts by advanced practice nurses and the cooperation of patients’ families are required to incorporate this intervention into ICU practice.

PMID:36209358 | DOI:10.1111/wvn.12606

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Nevin Manimala Statistics

Duodenal Switch Conversion in Non-responders or Weight Recurrence Patients

Obes Surg. 2022 Oct 8. doi: 10.1007/s11695-022-06297-1. Online ahead of print.

ABSTRACT

INTRODUCTION: Several modalities have been proposed to tackle insufficient weight loss and weight regain after bariatric surgery; we aimed to evaluate efficacy and safety of duodenal switch conversion as a salvage procedure.

MATERIAL AND METHODS: Data from patients who underwent duodenal switch conversions (n = 50) were retrospectively studied. Excess weight loss % and total body weight loss % were compared between primary procedure and duodenal switch conversion. Overall complication, emergency department visits, readmissions, reoperation, and mortality rates were described, analyzed, and compared to the current literature.

RESULTS: Every excess weight loss % and total body weight loss % comparison at 6, 12, and 24 months, demonstrated a statistically significant superiority in weight loss after duodenal switch conversion (p < 0.05). The mean operative time of adjustable gastric band, sleeve gastrectomy, Roux-en-Y gastric bypass (1 and 2 stages) conversions to duodenal switch were 208, 146, 187, and 152 min, respectively, while the mean length of stay was 3.38 days. No statistically significant differences were perceived regarding the primary procedure. The overall complication rate was 18% (9 patients); 3 patients (6%) had 1 emergency department visit; readmissions accounted for 12% of cases (6 patients); the reoperation rate was 10% (5 patients); no fatal outcomes were recorded.

CONCLUSION: Duodenal switch conversions are an effective salvage procedure for insufficient weight loss and/or weight regain after adjustable gastric band, sleeve gastrectomy, and Roux-en-Y gastric bypass; it is also safe, associated to low readmission, reoperation, and mortality rates.

PMID:36209345 | DOI:10.1007/s11695-022-06297-1

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Nevin Manimala Statistics

Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19

Sci Rep. 2022 Oct 8;12(1):16913. doi: 10.1038/s41598-022-20724-4.

ABSTRACT

COVID-19 mortality risk stratification tools could improve care, inform accurate and rapid triage decisions, and guide family discussions regarding goals of care. A minority of COVID-19 prognostic tools have been tested in external cohorts. Our objective was to compare machine learning algorithms and develop a tool for predicting subsequent clinical outcomes in COVID-19. We conducted a retrospective cohort study that included hospitalized patients with COVID-19 from March 2020 to March 2021. Seven Hundred Twelve consecutive patients from University of Washington and 345 patients from Tongji Hospital in China were included. We applied three different machine learning algorithms to clinical and laboratory data collected within the initial 24 h of hospital admission to determine the risk of in-hospital mortality, transfer to the intensive care unit, shock requiring vasopressors, and receipt of renal replacement therapy. Mortality risk models were derived, internally validated in UW and externally validated in Tongji Hospital. The risk models for ICU transfer, shock and RRT were derived and internally validated in the UW dataset but were unable to be externally validated due to a lack of data on these outcomes. Among the UW dataset, 122 patients died (17%) during hospitalization and the mean days to hospital mortality was 15.7 +/- 21.5 (mean +/- SD). Elastic net logistic regression resulted in a C-statistic for in-hospital mortality of 0.72 (95% CI, 0.64 to 0.81) in the internal validation and 0.85 (95% CI, 0.81 to 0.89) in the external validation set. Age, platelet count, and white blood cell count were the most important predictors of mortality. In the sub-group of patients > 50 years of age, the mortality prediction model continued to perform with a C-statistic of 0.82 (95% CI:0.76,0.87). Prediction models also performed well for shock and RRT in the UW dataset but functioned with lower accuracy for ICU transfer. We trained, internally and externally validated a prediction model using data collected within 24 h of hospital admission to predict in-hospital mortality on average two weeks prior to death. We also developed models to predict RRT and shock with high accuracy. These models could be used to improve triage decisions, resource allocation, and support clinical trial enrichment.

PMID:36209335 | DOI:10.1038/s41598-022-20724-4

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Nevin Manimala Statistics

Characterization of complex fluvial-deltaic deposits in Northeast India using Poisson impedance inversion and non-parametric statistical technique

Sci Rep. 2022 Oct 8;12(1):16917. doi: 10.1038/s41598-022-21444-5.

ABSTRACT

Characterizing complex fluvial-deltaic deposits is a challenging task for finding hydrocarbon discoveries. We described a methodology for predicting the hydrocarbon zones from complex well-log and prestack seismic data. In this current study, data analysis involves an integrated framework based on Simultaneous prestack seismic inversion (SPSI), target correlation coefficient analysis (TCCA), Poisson impedance inversion, and non-parametric statistical analysis, and Bayesian classification. First, seismic elastic attributes from prestack seismic data were estimated. They can provide the spatial distribution of petrophysical properties of seismic data. Then target correlation coefficient analysis (TCCA) was estimated roration factor “c” from well-log data. Using the seismic elastic attributes and rotation factor “c”, Poisson impedance inversion was performed to predict the Poisson impedance volume. Finally, Bayesian classification integrated the Poisson impedance volume with non-parametric probabilistic density functions (PDFs) to estimate the spatial distribution of lithofacies. Despite complex characteristics in the elastic properties, the current study successfully delineated the complex fluvial-details deposits. These results were verified with conventional findings through numerical analysis.

PMID:36209316 | DOI:10.1038/s41598-022-21444-5

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Nevin Manimala Statistics

Periodontitis and Preeclampsia in Pregnancy: A Systematic Review and Meta-Analysis

Matern Child Health J. 2022 Oct 8. doi: 10.1007/s10995-022-03556-6. Online ahead of print.

ABSTRACT

OBJECTIVES: A conflicting body of evidence suggests localized periodontal inflammation spreads systemically during pregnancy inducing adverse pregnancy outcomes. This systematic review and meta-analysis aim to specifically evaluate the relationship between periodontitis and preeclampsia.

METHODS: Electronic searches were carried out in Medline, Pubmed, Embase, Lilacs, Cochrane Controlled Clinical Trial Register, CINAHL, ClinicalTrials.gov, and Google Scholar with no restrictions on the year of publication. We identified and selected observational case-control and cohort studies that analyzed the association between periodontal disease and preeclampsia. This meta-analysis was conducted following the PRISMA checklist and MOOSE checklist. Pooled odds ratios, mean difference, and 95% confidence intervals were calculated using the random effect model. Heterogeneity was tested with Cochran’s Q statistic.

RESULTS: Thirty studies including six cohort- and twenty-four case-control studies were selected. Periodontitis was significantly associated with increased risk for preeclampsia (OR 3.18, 95% CI 2.26 – 4.48, p < 0.00001), especially in a subgroup analysis including cohort studies (OR 4.19, 95% CI 2.23 – 7.87, p < 0.00001). The association was even stronger in a subgroup analysis with lower-middle-income countries (OR 6.70, 95% CI 2.61 – 17.19, p < 0.0001).

CONCLUSIONS: Periodontitis appears as a significant risk factor for preeclampsia, which might be even more pronounced in lower-middle-income countries. Future studies to investigate if maternal amelioration of periodontitis prevents preeclampsia might be warranted.

PMID:36209308 | DOI:10.1007/s10995-022-03556-6

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COVID-19 associated rhino-orbito-cerebral mucormycosis, risk factors and outcome predictors; a multicentric study

Int Ophthalmol. 2022 Oct 9. doi: 10.1007/s10792-022-02536-7. Online ahead of print.

ABSTRACT

BACKGROUND: Since the onset of the Covid-19 pandemic, an increase in mucormycosis cases has been observed in many countries, including Iran. However, the role of covid-19 and associated risk factors have not been thoroughly investigated.

OBJECTIVE: This study is designed to identify epidemiologic characteristics, risk factors, and outcome predictors of Covid-19-Associated Rhino-Orbito-Cerebral Mucormycosis (C-ROCM).

METHODS: Data of pathology proven Covid Associated ROCM cases were retrospectively obtained from 7 tertiary care centers throughout Iran from February 20, 2021, to July 22, 2021. Univariate and multivariate analyses were performed using binary logistic regression to assess the effects of various factors on the outcome.

RESULTS: A total of 132 patients with C-ROCM were included in the study. The mean age of patients was 61.6 ± 13.9 (60.6% male). In 12 patients (9.1%), both eyes were involved. Diabetes was the most common comorbidity (94.7%). The mortality rate was 9.1%, higher in males (12.5%) than females (3.8%). Severe vision impairment was seen in 58 patients (43.9%). Main factors that had a negative impact on the outcome in the univariate analysis include older age (P < 0.001), higher steroid dosage (P < 0.001), higher HbA1c level (P < 0.001), Covid-19 severity (P < 0.001), and brain involvement (P < 0.001). However, in the multivariate analysis, the effects of age (P = 0.062), steroid dosage (P = 0.226), and Covid-19 intensity (P = 0.084) decreased, and the difference was no longer statistically significant. CRAO was a predictor of mortality in the univariate analysis (P = 0.008, OR = 4.50), but in the multivariate analysis, this effect decreased and was no longer significant (P = 0.125).

CONCLUSION: The risk of C-ROCM and its complications may increase in patients with more severe Covid-19, steroid over-prescription, ICU admission due to Covid-19, and poor glycemic control during and after Covid-19 treatment.

PMID:36209307 | DOI:10.1007/s10792-022-02536-7

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Nevin Manimala Statistics

Antibacterial effect, cytotoxicity, and bond strength of a modified dental adhesive containing silver nanoparticles

Odontology. 2022 Oct 8. doi: 10.1007/s10266-022-00752-2. Online ahead of print.

ABSTRACT

This study aimed to evaluate the antibacterial effect, cytotoxicity, and microtensile bond strength of an adhesive system containing silver nanoparticles (NAg). NAg was synthesized and incorporated (500 and 1000 ppm) into Scotchbond Multi-Purpose (SBMP) primer and bond. A microtensile bond test (μTBS) was performed after 24 h and 1 year. The adhesive interface was characterized using a confocal Raman microscope. The antibacterial activity was assessed using agar diffusion and biofilm inhibition assays (S. mutans). MTT assay was used to assess the cytotoxicity of NAg-conditioned culture media on human dental pulp stem cells (hDPSCs). The results were statistically analyzed using analysis of variance and Tukey’s tests (α = .01). Incorporating 500 and 1000 ppm of NAg in the SBMP did not affect the μTBS after 24 h (p > 0.05). However, in the 1 year evaluation, 500 ppm presented the highest μTBS values (p < 0.05). The addition of NAg at 500 and 1000 ppm in the primer and bond led to larger inhibition halos and colony-forming units than the control (p < 0.05). For the unpolymerized and polymerized groups, the combination of primer and bond presented the highest cytotoxic effects on hDPSCs (p < 0.05). In conclusion, incorporating 500 or 1000 ppm of NAg into an etch-and-rinse adhesive system led to an antibacterial effect without altering the cytotoxicity. SBMP at 500 ppm presented a higher μTBS at 1 year.

PMID:36209305 | DOI:10.1007/s10266-022-00752-2

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Prefecture-specific prevalence of overweight/obesity is associated with regional variation in the incidence of treated ESKD in Japan

Clin Exp Nephrol. 2022 Oct 8. doi: 10.1007/s10157-022-02284-z. Online ahead of print.

ABSTRACT

BACKGROUND: Overweight/obesity is a significant risk factor for chronic kidney disease and end-stage kidney disease (ESKD) in the general population. This study evaluated the impact of sex- and prefecture-specific prevalence of overweight/obesity on standardized incidence rates (SIRs) of treated ESKD in Japan.

METHODS: We conducted an ecological study of all prefectures in Japan (n = 47) using data from the Japanese Society of Dialysis Therapy, national census, the NDB Open Data, and the Statistics of Physicians, Dentists and Pharmacists. We calculated the prevalence of overweight/obesity and proteinuria, standardized mortality ratio, and ratio of nephrology specialists for each prefecture, and explored associations of these variables with sex- and prefecture-specific SIRs of treated ESKD using bivariate association analysis, multiple regression analysis, and structural equation modeling (SEM).

RESULTS: Prefecture-specific SIRs ranged from 0.72 to 1.24 for men and 0.69-1.41 for women. Prefecture-specific SIRs were significantly correlated with both the prevalence of overweight/obesity and prevalence of proteinuria. The prevalence of overweight/obesity showed direct, positive, and significant associations with prefecture-specific SIRs in men (standardized estimate (β) = 0.43, p < 0.001) and women (β = 0.40, p < 0.001). The prevalence of proteinuria showed a significant association with prefecture-specific SIRs only in women (β = 0.33, p = 0.01). The SEM models explained 26% of the variance in SIR for men and 28% for women.

CONCLUSIONS: Our findings provide evidence that the prefecture-specific prevalence of overweight/obesity in Japan can explain regional variation in prefecture-specific SIRs of treated ESKD in both sexes.

PMID:36209260 | DOI:10.1007/s10157-022-02284-z

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MRI adipose tissue segmentation and quantification in R (RAdipoSeg)

Diabetol Metab Syndr. 2022 Oct 8;14(1):146. doi: 10.1186/s13098-022-00913-x.

ABSTRACT

BACKGROUND: Excess adipose tissue is associated with increased cardiovascular and metabolic risk, but the volume of visceral and subcutaneous adipose tissue poses different metabolic risks. MRI with fat suppression can be used to accurately quantify adipose depots. We have developed a new semi-automatic method, RAdipoSeg, for MRI adipose tissue segmentation and quantification in the free and open source statistical software R.

METHODS: MRI images were obtained from wild-type mice on high- or low-fat diet, and from 20 human subjects without clinical signs of metabolic dysfunction. For each mouse and human subject, respectively, 10 images were segmented with RAdipoSeg and with the commercially available software SliceOmatic. Jaccard difference, relative volume difference and Spearman’s rank correlation coefficients were calculated for each group. Agreement between the two methods were analysed with Bland-Altman plots.

RESULTS: RAdipoSeg performed similarly to the commercial software. The mean Jaccard differences were 10-29% and the relative volume differences were below ( ±) 20%. Spearman’s rank correlation coefficient gave p-values below 0.05 for both mouse and human images. The Bland-Altman plots indicated some systematic and proporitional bias, which can be countered by the flexible nature of the method.

CONCLUSION: RAdipoSeg is a reliable and low cost method for fat segmentation in studies of mice and humans.

PMID:36209247 | DOI:10.1186/s13098-022-00913-x

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Clinical characteristics associated with falls in patients with non-metastatic castration-resistant prostate cancer treated with apalutamide

Prostate Cancer Prostatic Dis. 2022 Oct 8. doi: 10.1038/s41391-022-00592-9. Online ahead of print.

ABSTRACT

BACKGROUND: The phase III SPARTAN study demonstrated that apalutamide significantly improves metastasis-free survival and overall survival vs. placebo in patients with non-metastatic castration-resistant prostate cancer (nmCRPC). However, patients receiving apalutamide experienced falls more frequently vs. those receiving placebo (15.6% vs. 9.0%).

METHODS: 806 patients with nmCRPC randomized to apalutamide in SPARTAN and treated with apalutamide in addition to ongoing androgen deprivation therapy (ADT) were included in this post-hoc analysis investigating clinical variables associated with a subsequent fall. Time to a fall was assessed with Cox proportional-hazards models adjusted for baseline characteristics and time-varying factors. Statistical inference was based on final multivariable models.

RESULTS: Falls were reported for 125/803 (15.6%) patients treated with apalutamide and ADT. Most falls were grade 1 or 2 and did not require hospitalization. Median time from randomization to first fall was 9.2 months (range 0.1-25.3 months). In the final multivariable model of both baseline and after-baseline covariates, baseline patient characteristics (older age, poor Eastern Cooperative Oncology Group performance status, history of neuropathy, and α-blocker use before study treatment) remained significantly associated with fall; after-baseline clinical characteristics significantly associated with time to fall were development of neuropathy, arthralgia, and weight loss before fall.

CONCLUSIONS: This analysis identified risk factors for fall among nmCRPC patients treated with apalutamide. Clinical management can minimize these identified risks while enhancing patient outcomes. Preventive interventions should be considered when the identified baseline conditions and post-treatment neuropathy, arthralgia, or weight decrease are present, to reduce risk of fall.

TRIAL REGISTRATION: ClinicalTrials.gov: NCT01946204.

PMID:36209239 | DOI:10.1038/s41391-022-00592-9