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Nevin Manimala Statistics

Patterns of recurrence according to the extent of resection in patients with IDH-wild-type glioblastoma: a retrospective study

J Neurosurg. 2021 Dec 31:1-11. doi: 10.3171/2021.10.JNS211491. Online ahead of print.

ABSTRACT

OBJECTIVE: In glioblastoma (GBM) patients, controlling the microenvironment around the tumor using various treatment modalities, including surgical intervention, is essential in determining the outcome of treatment. This study was conducted to elucidate whether recurrence patterns differ according to the extent of resection (EOR) and whether this difference affects prognosis.

METHODS: This single-center study included 358 eligible patients with histologically confirmed isocitrate dehydrogenase (IDH)-wild-type GBM from November 1, 2005, to December 31, 2018. Patients were assigned to one of three separate groups according to EOR: supratotal resection (SupTR), gross-total resection (GTR), and subtotal resection (STR) groups. The patterns of recurrence were classified as local, marginal, and distant based on the range of radiation. The relationship between EOR and recurrence pattern was statistically analyzed.

RESULTS: Observed tumor recurrence rates for each group were as follows: SupTR group, 63.4%; GTR group, 75.3%; and STR group, 80.5% (p = 0.072). Statistically significant differences in patterns of recurrences among groups were observed with respect to local recurrence (SupTR, 57.7%; GTR, 76.0%; STR, 82.8%; p = 0.036) and distant recurrence (SupTR, 50.0%; GTR, 30.1%; STR, 23.2%; p = 0.028). Marginal recurrence showed no statistical difference between groups. Both overall survival and progression-free survival were significantly increased in the SupTR group compared with the STR and GTR groups (p < 0.0001).

CONCLUSIONS: In this study, the authors investigated the association between EOR and patterns of recurrence in patients with IDH-wild-type GBM. The findings not only show that recurrence patterns differ according to EOR but also provide clinical evidence supporting the hypothesized mechanism by which distant recurrence occurs.

PMID:34972087 | DOI:10.3171/2021.10.JNS211491

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Nevin Manimala Statistics

Postsurgical seizure outcome in temporal lobe epilepsy patients with normal or subtle, nonspecific MRI findings

J Neurosurg. 2021 Dec 31:1-7. doi: 10.3171/2021.10.JNS2127. Online ahead of print.

ABSTRACT

OBJECTIVE: The authors’ objective was to report postsurgical seizure outcome of temporal lobe epilepsy (TLE) patients with normal or subtle, nonspecific MRI findings and to identify prognostic factors related to seizure control after surgery.

METHODS: This was a retrospective study of patients who underwent surgery from 1999 to 2014 at two comprehensive epilepsy centers. Patients with a clear MRI lesion according to team discussion and consensus were excluded. Presurgical information, surgery details, pathological data, and postsurgical outcomes were retrospectively collected from medical charts. Multiple logistic regression analysis was used to assess the effect of clinical, surgical, and neuroimaging factors on the probability of Engel class I (favorable) versus class II-IV (unfavorable) outcome at last follow-up.

RESULTS: The authors included 73 patients (59% were female; median age at surgery 35.9 years) who underwent operations after a median duration of epilepsy of 13 years. The median follow-up after surgery was 30.6 months. At latest follow-up, 44% of patients had Engel class I outcome. Favorable prognostic factors were focal nonmotor aware seizures and unilateral or no spikes on interictal scalp EEG.

CONCLUSIONS: Favorable outcome can be achieved in a good proportion of TLE patients with normal or subtle, nonspecific MRI findings, particularly when presurgical investigation suggests a rather circumscribed generator. Presurgical factors such as the presence of focal nonmotor aware seizures and unilateral or no spikes on interictal EEG may indicate a higher probability of seizure freedom.

PMID:34972090 | DOI:10.3171/2021.10.JNS2127

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Nevin Manimala Statistics

Classification of Older and Fall-Experienced Subjects by Postural Sway Data using Mass Spring Damper Model

IEEE Trans Neural Syst Rehabil Eng. 2021 Dec 31;PP. doi: 10.1109/TNSRE.2021.3139966. Online ahead of print.

ABSTRACT

The quiet standing test is used to detect diseases of the postural control system. The descriptive statistics of the center of pressure (COP) of older people during the test tend to be larger than those of healthy young people, but they cannot indicate structural problems in postural control. COP trajectories can be mathematically modeled with structural parameters such as viscosity, stiffness, and stochastic terms; however, the classification accuracy of older and fall-experienced people using such parameters has not been sufficiently verified. In this study, six structural parameters of a mass-spring-damper (MSD) model were estimated using two datasets, in which a total of 212 subjects performed quiet standing tests under four conditions. The estimated parameters were used for classification with a random forest algorithm to examine the differences in classification accuracy compared to seven conventional descriptive statistics methods. For the classification of older subjects, the classification accuracy of the MSD parameter method was the highest in foam condition, with positive likelihood ratios approximately 8.0. For the classification of fall-experienced subjects, the positive likelihood ratio of the MSD parameter method was 5.0, which is better than conventional descriptive statistics. Various MSD parameters revealed that aging and changing the floor surface and visual conditions cause oscillations in the COP behavior. While the MSD parameters were confirmed to help classify older subjects more accurately than the conventional descriptive statistics, there was room for further improvement in the classification accuracy of fall-experienced subjects.

PMID:34971535 | DOI:10.1109/TNSRE.2021.3139966

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Nevin Manimala Statistics

Similarity Fusion via Exploiting High Order Proximity for Cancer Subtyping

IEEE/ACM Trans Comput Biol Bioinform. 2021 Dec 31;PP. doi: 10.1109/TCBB.2021.3139597. Online ahead of print.

ABSTRACT

Identifying cancer subtypes holds essential promise for improving prognosis and personalized treatment. Cancer subtyping based on multi-omics data has become a hotspot in bioinformatics research. One of the critical approaches of handling data heterogeneity in multi-omics data is first modeling each omics data as a separate similarity graph. Then, the information of multiple graphs is integrated into a unified graph. However, a significant challenge is how to measure the similarity of nodes in each graph and preserve cluster information of each graph. To that end, we exploit a new high order proximity in each graph and propose a similarity fusion method to fuse the high order proximity of multiple graphs while preserving cluster information of multiple graphs. Compared with the current techniques employing the first order proximity, exploiting high order proximity contributes to attaining accurate similarity. The proposed similarity fusion method makes full use of the complementary information from multi-omics data. Experiments in six benchmark multi-omics datasets and two individual cancer case studies confirm that our proposed method achieves statistically significant and biologically meaningful cancer subtypes.

PMID:34971537 | DOI:10.1109/TCBB.2021.3139597

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Nevin Manimala Statistics

Comparison of inpatient spending and readmission rates for patients treated by male versus female physicians in China: An observational study

J Health Serv Res Policy. 2021 Dec 31:13558196211058974. doi: 10.1177/13558196211058974. Online ahead of print.

ABSTRACT

OBJECTIVE: To determine whether there are significant differences in costs of treatment and readmission rates for hospital consultations undertaken by female versus male physicians in China.

METHODS: Using data from the Urban Employee Basic Medical Insurance program from January 2018 through October 2019, we investigated spending patterns and clinical outcomes for patients at tertiary hospitals in one of the largest cities in China by the gender of the attending physician. Our sample included 79,085 hospitalizations treated by 3993 physicians in internal medicine departments. We examined the association between physician gender and visit cost using a multivariable linear model. We examined the association between physician gender and 30-days readmission rates using a multivariable probability model. We adjusted for a rich set of patient characteristics, primary diagnosis fixed effects, and hospital fixed effects. In addition, we used patient fixed effects in a robustness analysis.

RESULTS: Adjusting for primary diagnosis fixed effects, spending per visit was 4.1% higher for patients treated by male physicians than for those treated by female physicians, a statistically significant difference (95% CI [1.5%, 6.7%]). This pattern persisted after further adjusting for hospital fixed effects (3.2% [1.2%, 5.2%]), patient characteristics (3.2% [1.2%, 5.1%]), and patient fixed effects (4.2% [1.8%, 6.7%]). The difference is mainly driven by higher spending on drugs (8.7% [3.9%, 13.6%]) and out-of-pocket costs (3.9% [1.7%, 6.0%]). No statistically significant differences were observed in the readmission rates of patients treated by male and female physicians in any of our three model specifications.

CONCLUSIONS: Spending per visit was significantly higher among patients treated by male physicians than among those treated by female physicians, with the difference mainly driven by spending on drugs and out-of-pocket costs. No significant difference was observed in the hospital readmission rates of patients treated by male and female physicians. These findings have important implications for gender equality in medicine and health care quality and efficiency in developing countries.

PMID:34971520 | DOI:10.1177/13558196211058974

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Nevin Manimala Statistics

Shadow-consistent Semi-supervised Learning for Prostate Ultrasound Segmentation

IEEE Trans Med Imaging. 2021 Dec 31;PP. doi: 10.1109/TMI.2021.3139999. Online ahead of print.

ABSTRACT

Prostate segmentation in transrectal ultrasound (TRUS) image is an essential prerequisite for many prostate-related clinical procedures, which, however, is also a long-standing problem due to the challenges caused by the low image quality and shadow artifacts. In this paper, we propose a Shadow-consistent Semi-supervised Learning (SCO-SSL) method with two novel mechanisms, namely shadow augmentation (Shadow-AUG) and shadow dropout (Shadow-DROP), to tackle this challenging problem. Specifically, Shadow-AUG enriches training samples by adding simulated shadow artifacts to the images to make the network robust to the shadow patterns. Shadow-DROP enforces the segmentation network to infer the prostate boundary using the neighboring shadow-free pixels. Extensive experiments are conducted on two large clinical datasets (a public dataset containing 1,761 TRUS volumes and an in-house dataset containing 662 TRUS volumes). In the fully-supervised setting, a vanilla U-Net equipped with our Shadow-AUG&Shadow-DROP outperforms the state-of-the-arts with statistical significance. In the semi-supervised setting, even with only 20% labeled training data, our SCO-SSL method still achieves highly competitive performance, suggesting great clinical value in relieving the labor of data annotation. Source code is released at https://github.com/DIAL-RPI/SCO-SSL.

PMID:34971530 | DOI:10.1109/TMI.2021.3139999

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Nevin Manimala Statistics

Serological evidence of hepatitis E virus infection in pigs from Northern Bulgaria

Vet Ital. 2021 Jul 27;57(2). doi: 10.12834/VetIt.2341.14461.1.

ABSTRACT

The purpose of the present study was to investigate pigs in Northern Bulgaria for serological evidence of hepatitis E virus (HEV). Sera from 225 individuals from three industrial farms were tested for anti‑HEV IgG antibodies. The overall HEV seroprevalence was 36% (81/225); weaners 6.8% (5/74); fattening pigs 38.7% (29/75) and in sows 61.8% (47/76). Compared to weaners, HEV positivity was higher in fattening pigs and sows: OR = 8.70 (95% CI: 3.14‑24.12) and OR = 22.37 (95% CI: 8.07‑61.96), respectively. These data confirm that HEV is endemic in pigs throughout Bulgaria, and can be a Public Health problem due to the transmission of HЕV to humans through the consumption of pork meat and pork products.

PMID:34971505 | DOI:10.12834/VetIt.2341.14461.1

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Nevin Manimala Statistics

Plasma membrane perforation by GSDME during apoptosis-driven secondary necrosis

Cell Mol Life Sci. 2021 Dec 31;79(1):19. doi: 10.1007/s00018-021-04078-0.

ABSTRACT

Secondary necrosis has long been perceived as an uncontrolled process resulting in total lysis of the apoptotic cell. Recently, it was shown that progression of apoptosis to secondary necrosis is regulated by Gasdermin E (GSDME), which requires activation by caspase-3. Although the contribution of GSDME in this context has been attributed to its pore-forming capacity, little is known about the kinetics and size characteristics of this. Here we report on the membrane permeabilizing features of GSDME by monitoring the influx and efflux of dextrans of different sizes into/from anti-Fas-treated L929sAhFas cells undergoing apoptosis-driven secondary necrosis. We found that GSDME accelerates cell lysis measured by SYTOX Blue staining but does not affect the exposure of phosphatidylserine on the plasma membrane. Furthermore, loss of GSDME expression clearly hampered the influx of fluorescently labeled dextrans while the efflux happened independently of the presence or absence of GSDME expression. Importantly, both in- and efflux of dextrans were dependent on their molecular weight. Altogether, our results demonstrate that GSDME regulates the passage of compounds together with other plasma membrane destabilizing subroutines.

PMID:34971436 | DOI:10.1007/s00018-021-04078-0

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Nevin Manimala Statistics

Adherence to psychiatric medications: Comparing patients with schizophrenia, bipolar disorder and major depression

Neuropsychopharmacol Hung. 2021 Dec 1;23(4):363-373.

ABSTRACT

Findings of three articles reporting results in 1372 stabilized outpatients taking 2454 medications in Spain, Argentina, and Venezuela were combined. Prevalence of good adherence was not obviously different across diagnoses: 69.5% (N=212) for schizophrenia, 66.3% (N=142) for bipolar disorder, and 69.8% (N=521) for depression. Besides the focus on stabilized outpatients, other study biases included use of a research sample; limited to oral medications, ignoring long-acting injectable antipsychotics; and lack of data on active substance abuse, clinical severity, and insight. Logistic regression models explored predictors of good vs. poor adherence. The six self-reported variables studied were pharmacophobia, pharmacophilia, high psychological reactance, high internal health locus of control (LOC), high doctor LOC, and skepticism concerning specific medications. ORs were significant in 56% (47/84) of the statistical tests vs. 24% (23/98) of ORs significant in case of 7 demographic/clinical variables (p=0.001). At least 2/3 of the ORs for pharmacophobia, pharmacophilia and skepticism were significantly associated with adherence in cases and controls, indicating their independence from diagnoses. In need of replication, three other self-reported measures had differential effects on adherence across diagnoses. High psychological reactance was associated with decreased adherence to antidepressant medications in general, or for patients with mood disorders. High internal LOC as associated with poor adherence may reflect the distrust patients with schizophrenia or severe bipolar disorder have of other people. High doctor LOC was significantly associated with increased adherence only in patients with bipolar disorder, but was significant for all medications, mood stabilizers and antipsychotics, indicating the relevance of the patient-psychiatrist relationship in these patients. (Neuropsychopharmacol Hung 2021; 23(4): 363-373).

PMID:34971494

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Nevin Manimala Statistics

New ways of treatment of fractures of the humeral shaft: does the combination of intramedullary nail osteosynthesis and cerclage improve the healing process?

Eur J Trauma Emerg Surg. 2021 Dec 31. doi: 10.1007/s00068-021-01847-1. Online ahead of print.

ABSTRACT

INTRODUCTION: The humeral shaft fracture is a rare fracture of the long bones with various treatment options. Dreaded complications such as lesions of the radial nerve or non-unions make the decision for what kind of therapy option more difficult. Biomechanically the upper arm is mostly exposed to rotational forces, which affect intramedullary nail osteosynthesis. Additive cerclage may compensate for these in spiral fractures. The aim of this study is to investigate what effect a combination of intramedullary nail osteosynthesis and limited invasive cerclage has on the rate of healing. In addition, this study addresses the question if complications arise as a result of cerclage.

METHODS: In this retrospective study, 109 patients were evaluated, who, during a period of 6 years, underwent operative treatment of a humerus shaft fracture with a combination of intramedullary nail osteosynthesis and additive cerclage. The primary end point was to establish the rate of healing. A secondary end point was to evaluate complications such as infections and damage to the nerve. This was followed by an examination of patient files and X-ray images and a statistical analysis with SPSS.

RESULTS AND CONCLUSION: The healing process shows a non-union rate of 2.6%, and complications such as secondary radial nerve lesions of 4.6%. The antegrade intramedullary nail osteosynthesis with limited invasive, additive cerclage reduces the risk of non-union and does not lead to an increased risk of iatrogenic damage to the radial nerve. Wound healing was not impaired and there were no infections through the cerclage in our patient cohort.

PMID:34971422 | DOI:10.1007/s00068-021-01847-1