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Nevin Manimala Statistics

Community vibrancy and its relationship with safety in Philadelphia

PLoS One. 2021 Dec 31;16(12):e0257530. doi: 10.1371/journal.pone.0257530. eCollection 2021.

ABSTRACT

To what extent can the strength of a local urban community impact neighborhood safety? We construct measures of community vibrancy based on a unique dataset of block party permit approvals from the City of Philadelphia. Our first measure captures the overall volume of block party events in a neighborhood whereas our second measure captures differences in the type (regular versus spontaneous) of block party activities. We use both regression modeling and propensity score matching to control for the economic, demographic and land use characteristics of the surrounding neighborhood when examining the relationship between crime and our two measures of community vibrancy. We conduct our analysis on aggregate levels of crime and community vibrancy from 2006 to 2015 as well as the trends in community vibrancy and crime over this time period. We find that neighborhoods with a higher number of block parties have a significantly higher crime rate, while those holding a greater proportion of spontaneous block party events have a significantly lower crime rate. We also find that neighborhoods which have an increase in the proportion of spontaneous block parties over time are significantly more likely to have a decreasing trend in total crime incidence over that same time period.

PMID:34972104 | DOI:10.1371/journal.pone.0257530

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Nevin Manimala Statistics

National randomized clinical trial on subdural drainage time after chronic subdural hematoma evacuation

J Neurosurg. 2021 Dec 31:1-8. doi: 10.3171/2021.10.JNS211608. Online ahead of print.

ABSTRACT

OBJECTIVE: Placement of a subdural drain reduces recurrence and death after evacuation of chronic subdural hematoma (CSDH), but little is known about optimal drainage duration. In the present national trial, the authors investigated the effect of drainage duration on recurrence and death.

METHODS: In a randomized controlled trial involving all neurosurgical departments in Denmark, patients treated with single burr hole evacuation of CSDH were randomly assigned to 24 hours or 48 hours of postoperative passive subdural drainage. Follow-up duration was 90 days, and the primary study outcome was recurrent hematoma requiring reoperation. Secondary outcome was death. In addition, complications and length of hospital stay were recorded and analyzed.

RESULTS: Of the 420 included patients, 212 were assigned 24-hour drainage and 208 were assigned 48-hour drainage. The recurrence rate was 14% in the 24-hour group and 13% in the 48-hour group. Four patients died in the 24-hour group, and 8 patients died in the 48-hour group; this difference was not statistically significant. The ORs (95% CIs) for recurrence and mortality (48 hours vs 24 hours) were 0.94 (0.53-1.66) and 2.07 (0.64-7.85), respectively, in the intention-to-treat analysis. The ORs (95% CIs) for recurrence and mortality per 1-hour increase in drainage time were 1.0005 (0.9770-1.0244) and 1.0046 (0.9564-1.0554), respectively, in the as-treated sensitivity analysis that used the observed drainage times instead of the preassigned treatment groups. The rates of surgical and drain-related complications, postoperative infections, and thromboembolic events were not different between groups. The mean ± SD postoperative length of hospital stay was 7.4 ± 4.3 days for patients who received 24-hour drainage versus 8.4 ± 4.9 days for those who received 48-hour drainage (p = 0.14). The mean ± SD postoperative length of stay in the neurosurgical department was significantly shorter for the 24-hour group (2 ± 0.9 days vs 2.8 ± 1.6 days, p < 0.001).

CONCLUSIONS: No significant differences in the rates of recurrent hematoma or death during 90-day follow-up were identified between the two groups that randomly received either 24- or 48-hour passive subdural drainage after burr hole evacuation of CSDH.

PMID:34972091 | DOI:10.3171/2021.10.JNS211608

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Nevin Manimala Statistics

How does the community COVID-19 level of risk impact on that of a care home?

PLoS One. 2021 Dec 31;16(12):e0260051. doi: 10.1371/journal.pone.0260051. eCollection 2021.

ABSTRACT

OBJECTIVES: To model the risk of COVID-19 mortality in British care homes conditional on the community level risk.

METHODS: A two stage modeling process (“doubly latent”) which includes a Besag York Mollie model (BYM) and a Log Gaussian Cox Process. The BYM is adopted so as to estimate the community level risks. These are incorporated in the Log Gaussian Cox Process to estimate the impact of these risks on that in care homes.

RESULTS: For an increase in the risk at the community level, the number of COVID-19 related deaths in the associated care home would be increased by exp (0.833), 2. This is based on a simulated dataset. In the context of COVID-19 related deaths, this study has illustrated the estimation of the risk to care homes in the presence of background community risk. This approach will be useful in facilitating the identification of the most vulnerable care homes and in predicting risk to new care homes.

CONCLUSIONS: The modeling of two latent processes have been shown to be successfully facilitated by the use of the BYM and Log Gaussian Cox Process Models. Community COVID-19 risks impact on that of the care homes embedded in these communities.

PMID:34972103 | DOI:10.1371/journal.pone.0260051

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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

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

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