Category: Statistics

Cerebellum. 2022 Jul 23. doi: 10.1007/s12311-022-01449-6. Online ahead of print.

ABSTRACT

The aim of this study was to explore the association between sex and cerebellar mutism syndrome and to examine other potential risk factors. This ambispective cohort study examined 218 pediatric patients (132 boys) with a posterior fossa tumor who underwent tumor resection from July 2013 to March 2021. The patients’ demographics and tumor characteristics were examined and statistically analyzed to explore the associations among the variables. Multivariable and subgroup analyses were conducted to validate the independent risk factors for cerebellar mutism syndrome (CMS). The male and female patients did not differ significantly in terms of age, tumor size, tumor location, tumor consistency, VP shunt placement before resection, extent of resection, or surgeon, as well as with respect to the presence of hydrocephalus or paraventricular edema. The overall incidence of CMS was 32.6%. The incidence of CMS was significantly higher in male patients than that in female patients (41.7% vs. 18.6%; P = 0.001). In the multivariable analysis, male sex (adjusted odds ratio [OR], 3.27; P = 0.001), solid tumor consistency (adjusted OR, 5.61; P = 0.001), midline location (adjusted OR, 3.78; P = 0.004), and hydrocephalus (adjusted OR, 2.56; P = 0.047) were independent risk factors for the CMS. Chi-square analysis revealed that solid tumor consistency and midline location were associated with medulloblastoma (P < 0.001). Male patients had a higher risk of developing CMS after a posterior fossa tumor resection. Midline location, solid tumor consistency, and hydrocephalus were independent risk factors for CMS.

PMID:35870083 | DOI:10.1007/s12311-022-01449-6

Int Ophthalmol. 2022 Jul 23. doi: 10.1007/s10792-022-02427-x. Online ahead of print.

ABSTRACT

PURPOSE: To evaluate the association between postoperative intraocular pressure (IOP) reduction and phacoemulsification parameters in patients who underwent both conventional phacoemulsification surgery (CPS) and femtosecond laser-assisted cataract surgery (FLACS).

METHODS: This was a prospective multicenter comparative study that enrolled 90 participants who underwent cataract surgery at the University of Maryland Medical System and the Wilmer Eye Institute. Patients underwent FLACS in one eye and CPS in the fellow eye. IOP was measured prior to surgery and monitored through six months postoperatively. Demographic, clinical, biometric, and intraoperative variables including cumulative dissipated energy (CDE), aspiration time, and phacoemulsification time were analyzed for any significant association with postoperative IOP. Postoperative IOP reduction was the primary outcome variable. A secondary goal of the study was to determine differences in postoperative IOP reduction between CPS and FLACS cohorts.

RESULTS: In total, 157 non-glaucomatous eyes were included. Using multivariable analysis, we found preoperative IOP to be consistently associated with postoperative IOP reduction in the entire cohort. At the 6-month follow-up visit, there was a 12.4% reduction in IOP (-2.2 ± 3.4 mm Hg) seen, with no statistically significant difference between FLACS and CPS (12.3% ± 19.4% vs 12.5% ± 19.3%, respectively, p = 0.32). FLACS reduced the CDE required for phacoemulsification (6.6 ± 4.4%-seconds vs 8.6 ± 6.9%-seconds, respectively, p < 0.05). CDE was a predictor of IOP response at 6 months, but subgroup analysis revealed that this trend was driven by seven eyes requiring high CDE, and for the majority of eyes, CDE did not influence the size of the decrease. The seven eyes experiencing highest CDE were less likely to show IOP reduction at 6 months.

CONCLUSION: Both FLACS and CPS resulted in similar and significant IOP reductions through 6 months after surgery. Preoperative IOP was significantly associated with IOP reduction, and CDE generally did not influence the size of the decrease.

PMID:35870049 | DOI:10.1007/s10792-022-02427-x

Cancer Causes Control. 2022 Jul 23. doi: 10.1007/s10552-022-01607-5. Online ahead of print.

ABSTRACT

PURPOSE: Examining spatial distribution of colorectal cancer (CRC) incidence or mortality is helpful for developing cancer control and prevention programs or for generating hypotheses. Such an investigation involves describing the spatial variation of risk factors for CRC and identifying hotspots. The aim of this study is to identify county-level risk factors that may be associated with the incidence of CRC and to map hotspots for CRC in Florida.

METHODS: County-level CRC cases, recorded in 2018, were obtained from the Florida Department of Health, Division of Public Health Statistics & Performance Management (DPHSM). Data on county-level risk factors were also obtained from the same source. We used Bayesian spatial models for relative incidence rates and produced posterior predictive that indicates excess risk (hotspots) for CRC.

RESULTS: The county-level unadjusted incidence rates range from .462 to 3.142. After fitting a Bayesian spatial model to the data, the results show that a decreasing risk of CRC is strongly associated with an increasing median income, higher percentage of Black population, and higher percentage of sedentary life at county level. Using exceedance probability, it is also observed that there are clustering and hotspots of high CRC incidence rates in Charlotte County in South Florida, Hernando, Sumter and Seminole counties in central Florida and Union and Washington counties in north Florida.

CONCLUSION: Among few county-level variables that significantly explained the spatial variation of CRC, income disparity may need more attention for resource allocation and developing preventive intervention in high-risk areas for CRC.

PMID:35870048 | DOI:10.1007/s10552-022-01607-5

Qual Life Res. 2022 Jul 23. doi: 10.1007/s11136-022-03172-5. Online ahead of print.

ABSTRACT

PURPOSE: Thresholds for meaningful within-individual change (MWIC) are useful for interpreting patient-reported outcome measures (PROM). Transition ratings (TR) have been recommended as anchors to establish MWIC. Traditional statistical methods for analyzing MWIC such as mean change analysis, receiver operating characteristic (ROC) analysis, and predictive modeling ignore problems of floor/ceiling effects and measurement error in the PROM scores and the TR item. We present a novel approach to MWIC estimation for multi-item scales using longitudinal item response theory (LIRT).

METHODS: A Graded Response LIRT model for baseline and follow-up PROM data was expanded to include a TR item measuring latent change. The LIRT threshold parameter for the TR established the MWIC threshold on the latent metric, from which the observed PROM score MWIC threshold was estimated. We compared the LIRT approach and traditional methods using an example data set with baseline and three follow-up assessments differing by magnitude of score improvement, variance of score improvement, and baseline-follow-up score correlation.

RESULTS: The LIRT model provided good fit to the data. LIRT estimates of observed PROM MWIC varied between 3 and 4 points score improvement. In contrast, results from traditional methods varied from 2 to 10 points-strongly associated with proportion of self-rated improvement. Best agreement between methods was seen when approximately 50% rated their health as improved.

CONCLUSION: Results from traditional analyses of anchor-based MWIC are impacted by study conditions. LIRT constitutes a promising and more robust analytic approach to identifying thresholds for MWIC.

PMID:35870045 | DOI:10.1007/s11136-022-03172-5

Int Urol Nephrol. 2022 Jul 23. doi: 10.1007/s11255-022-03299-x. Online ahead of print.

ABSTRACT

PURPOSE: Differentiating between diabetic kidney disease (DKD) and non-diabetic kidney disease (NDKD) in patients with Type 2 diabetes mellitus (T2DM) is important due to implications on treatment and prognosis. Clinical methods to accurately distinguish DKD from NDKD are lacking. We aimed to develop and validate a novel nomogram to predict DKD in patients with T2DM and proteinuric kidney disease to guide decision for kidney biopsy.

METHODS: A hundred and two patients with Type 2 Diabetes Mellitus (T2DM) who underwent kidney biopsy from 1st January 2007 to 31st December 2016 were analysed. Univariate and multivariate analyses were performed to identify predictive variables and construct a nomogram. The discriminative ability of the nomogram was assessed by calculating the area under the receiver operating characteristic curve (AUROC), while calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test and calibration plot. Internal validation of the nomogram was assessed using bootstrap resampling.

RESULTS: Duration of T2DM, HbA1c, absence of hematuria, presence of diabetic retinopathy and absence of positive systemic biomarkers were found to be independent predictors of DKD in multivariate analysis and were represented as a nomogram. The nomogram showed excellent discrimination, with a bootstrap-corrected C statistic of 0.886 (95% CI 0.815-0.956). Both the calibration curve and the Hosmer-Lemeshow goodness-of-fit test (p = 0.242) showed high degree of agreement between the prediction and actual outcome, with the bootstrap bias-corrected curve similarly indicating excellent calibration.

CONCLUSIONS: A novel nomogram incorporating 5 clinical parameters is useful in predicting DKD in type 2 diabetes mellitus patients with proteinuric kidney disease.

PMID:35870041 | DOI:10.1007/s11255-022-03299-x

Environ Monit Assess. 2022 Jul 23;194(9):609. doi: 10.1007/s10661-022-10248-9.

ABSTRACT

Failure Mode and Effects Analysis (FMEA) is one of the most used methods in risk assessment and prioritization. This study was conducted to identify, evaluate, prioritize, and analyze risks associated with the physical processes of Sahand municipal wastewater plant using traditional and fuzzy FMEA methods. The present research was a cross-sectional analytical study that was conducted to prioritize the risks of unit operations of screening and grit removal in Sahand municipal wastewater treatment plant for 6 months. First, a team of five experts was formed and the traditional FMEA worksheet was completed. Then, the fuzzy membership functions were determined according to experts’ opinions and using the MATLAB program, and the severity, occurrence, detection, and risk priority number (RPN) became fuzzy and risks were prioritized according to the fuzzy logic outputs. A total of 53 failure modes were identified for screening (26 failures) and grit removal units (27 failures) using the traditional FMEA risk assessment technique. The results of the traditional FMEA method showed that among the 53 identified failure modes, in physical treatment equipment of Sahand municipal wastewater, 51 failures (96.2%) were in the low-risk levels and two failures (3.8%) were in the medium-risk levels. According to the results of the fuzzy FMEA, 5 failures (9.4%) were in the low-risk levels, 43 failures (81.2%) were in the medium-risk levels, and 5 failures (9.4%) were in the high-risk levels. Based on the traditional FMEA, the highest and lowest level of risk belonged to manual screening clogging and conveyor cutting of mechanical screening with RPN of 540 and 12, respectively, whereas in the fuzzy FMEA, the highest and lowest level of risk were related to manual screening clogging and fracture of pump pipes with RPN of 894 and 105, respectively. The finding showed that risk assessment using fuzzy FMEA provides more accurate and better results than traditional FMEA. In the fuzzy FMEA, the involvement of the experts’ opinions in risk assessment and fuzzy models leads to more realistic results, as well as corrective action prioritization is better performed.

PMID:35870035 | DOI:10.1007/s10661-022-10248-9

Ann Intensive Care. 2022 Jul 23;12(1):70. doi: 10.1186/s13613-022-01046-0.

ABSTRACT

BACKGROUND: Acute kidney injury (AKI) is a frequent complication in patients with severe respiratory failure receiving extracorporeal membrane oxygenation (ECMO). However, little is known of long-term kidney function in ECMO survivors. We aimed to assess the long-term mortality and kidney outcomes in adult patients treated with veno-venous ECMO (VV-ECMO).

METHODS: This was a single-centre retrospective study of adult patients (≥ 18 years old) who were treated with VV-ECMO at a commissioned ECMO centre in the UK between 1st September 2010, and 30th November 2016. AKI was defined and staged using the serum creatinine and urine output criteria of the Kidney Diseases: Improving Global Outcomes (KDIGO) classification. The primary outcome was 1-year mortality. Secondary outcomes were long-term mortality (up to March 2020), 1-year incidence of end-stage kidney disease (ESKD) or chronic kidney disease (CKD) among AKI patients who received renal replacement therapy (AKI-RRT), AKI patients who did not receive RRT (AKI-no RRT) and patients without AKI (non-AKI).

RESULTS: A total of 300 patients [57% male; median age 44.5; interquartile range (IQR) 34-54] were included in the final analysis. Past medical histories included diabetes (12%), hypertension (17%), and CKD (2.3%). The main cause of severe respiratory failure was pulmonary infection (72%). AKI occurred in 230 patients (76.7%) and 59.3% received renal replacement therapy (RRT). One-year mortality was 32% in AKI-RRT patients vs. 21.4% in non-AKI patients (p = 0.014). The median follow-up time was 4.35 years. Patients who received RRT had a higher risk of 1-year mortality than those who did not receive RRT (adjusted HR 1.80, 95% CI 1.06, 3.06; p = 0.029). ESKD occurred in 3 patients, all of whom were in the AKI-RRT group. At 1-year, 41.2% of survivors had serum creatinine results available. Among these, CKD was prevalent in 33.3% of AKI-RRT patients vs. 4.3% in non-AKI patients (p = 0.004).

CONCLUSIONS: VV-EMCO patients with AKI-RRT had high long-term mortality. Monitoring of kidney function after hospital discharge was poor. In patients with follow-up creatinine results available, the CKD prevalence was high at 1 year, especially in AKI-RRT patients. More awareness about this serious long-term complication and appropriate follow-up interventions are required.

PMID:35870022 | DOI:10.1186/s13613-022-01046-0

Clin Oral Investig. 2022 Jul 23. doi: 10.1007/s00784-022-04625-4. Online ahead of print.

ABSTRACT

OBJECTIVES: Resin-based materials are applied in every branch of dentistry. Due to their tendency to release substances in the oral environment, doubts have been raised about their actual safety. This review aims to provide a comprehensive analysis of the last decade literature regarding the concentrations of elutable substances released from dental resin-based materials in different type of solvents.

MATERIALS AND METHODS: All the literature published on dental journals between January 2010 and April 2022 was searched using international databases (PubMed, Scopus, Web of Science). Due to strict inclusion criteria, only 23 papers out of 877 were considered eligible. The concentration of eluted substances related to surface and volume of the sample was analyzed, considering data at 24 h as a reference. The total cumulative release was examined as well.

RESULTS: The most eluted substances were HEMA, TEGDMA, and BPA, while the less eluted were Bis-GMA and UDMA. Organic solvents caused significantly higher release of substances than water-based ones. A statistically significant inverse correlation between the release of molecules and their molecular mass was observed. A statistically significant positive correlation between the amount of released molecule and the specimen surface area was detected, as well as a weak positive correlation between the release and the specimen volume.

CONCLUSIONS: Type of solvent, molecular mass of eluates, and specimen surface and volume affect substances release from materials.

CLINICAL RELEVANCE: It could be advisable to rely on materials based on monomers with a reduced elution tendency for clinical procedures.

PMID:35870020 | DOI:10.1007/s00784-022-04625-4

Eur Arch Otorhinolaryngol. 2022 Jul 23. doi: 10.1007/s00405-022-07537-x. Online ahead of print.

ABSTRACT

PURPOSE: We aimed to clarify the clinical features of delayed-onset swelling around cochlear implants (CI), and to present our experience on how to avoid and address this problem.

METHODS: We performed a retrospective review of all CI cases at our institution between June 2001 and June 2020. Information on postoperative complications of swelling in the receiver area > 3 months after implantation were analyzed, and clinical data sheets were drawn.

RESULTS: Twenty-six of 1425 patients (1.82%) with an age at implantation ranging from 1 to 9 years experienced delayed-onset swelling around the implant. Swelling episodes occurred as early as 4 months, and as late as 178 months after implantation (median, 79.7 months). The predisposing factor in 12 cases was unclear, 7 cases were caused by trauma at the implantation site, 5 cases were without predisposing factors, and 2 cases were related to infection. We found the frequency of delayed-onset swelling after cochlear implantation with different incision was statistically insignificant (P = 0.423). Nineteen patients (73.1%) were cured after one treatment, and five patients (19.2%) relapsed. Follow-up examinations at least 18 months after surgery revealed that all patients experienced a complete recovery.

CONCLUSIONS: Delayed-onset swelling at the receiver site is a long term but not exactly uncommon complication after cochlear surgery and long-term follow-up is eagerly required. It can recur more than once, causing more complex treatment strategies in clinical practice. Conservative treatment first recommended, while needle aspiration should initially be considered in recurrent cases also when the effusion swelling is > 3 ml.

PMID:35870003 | DOI:10.1007/s00405-022-07537-x

Arch Gynecol Obstet. 2022 Jul 23. doi: 10.1007/s00404-022-06677-z. Online ahead of print.

ABSTRACT

OBJECTIVE: Excessive gestational weight gain (eGWG) is associated with adverse long-term maternal outcomes. Most lifestyle interventions that incorporate physical activity have been ineffective at reducing eGWG. The purpose of this study was to determine if sleep modified the relationships between physical activity change from the 2nd to 3rd trimester and the odds of excessive gestational weight gain (eGWG).

METHODS: This was a secondary data analysis of a prospective cohort study of pregnant birthing people with overweight or obesity (n = 105). We estimated physical activity energy expenditure (PAEE) in the 2nd and 3rd trimesters of pregnancy and sleep characteristics (i.e., sleep quality, daytime dysfunction, sleep efficiency, sleep duration) in the 2nd trimester of pregnancy with validated measures. We used regression models with sleep and PAEE change (increase/stable vs. decrease) interaction terms to examine the impact of sleep on PAEE change and eGWG.

RESULTS: Mean GWG was 37.02 ± 16.76 lbs. and 80% of participants experienced eGWG. Eighteen percent of participants increased their PAEE from the 2nd to the 3rd trimester. Increasing (vs. decreasing) PAEE was associated with lower log-odds of eGWG only among participants that slept at least 8 h/night (p = 0.06), had at least 85% sleep efficiency (p = 0.03), or reported less daytime dysfunction (p = 0.08). Sleep quality did not moderate the association between PAEE change and eGWG.

CONCLUSIONS: Weight management interventions in pregnancy should consider screening for and addressing poor sleep in the second trimester.

PMID:35870008 | DOI:10.1007/s00404-022-06677-z