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Nevin Manimala Statistics

Does the duration between urine culture and percutaneous nephrolithotomy affect the rate of systemic inflammatory response syndrome postoperatively?

Urolithiasis. 2021 Apr 16. doi: 10.1007/s00240-021-01245-7. Online ahead of print.

ABSTRACT

This study aimed to evaluate the preoperative and intraoperative factors that may cause systemic inflammatory response syndrome (SIRS) after percutaneous nephrolithotomy (PCNL) and to investigate the effect of the duration between urine culture (UC) and operation on postoperative SIRS. Three hundred and fifty-six patients who had PCNL between January 2015 and June 2019 were retrospectively included in the study. UC was obtained from all patients before the operation and during the puncture at the beginning of the operation. Postoperatively, patients were closely monitored for fever and other signs of SIRS. The post-PCNL SIRS incidence was 7%. In univariable and multivariable analyses, the rate of ipsilateral PCNL history, recurrent urinary tract infection (UTI) history, operation time and the length of hospital stay were significant predictive factors for SIRS. The duration between UC and PCNL was not a statistically significant variable in both univariable and multivariable analysis. Our study concluded that the duration between UC and PCNL is not an influential factor for post-PCNL SIRS. Clarifying this issue may be possible with prospective studies in which the effects of factors such as ipsilateral PCNL history and recurrent urinary tract infection history which has been proven to be risk factors for post-PCNL SIRS are restricted.

PMID:33864111 | DOI:10.1007/s00240-021-01245-7

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Nevin Manimala Statistics

Optimisation of the coalescent hyperbolic embedding of complex networks

Sci Rep. 2021 Apr 16;11(1):8350. doi: 10.1038/s41598-021-87333-5.

ABSTRACT

Several observations indicate the existence of a latent hyperbolic space behind real networks that makes their structure very intuitive in the sense that the probability for a connection is decreasing with the hyperbolic distance between the nodes. A remarkable network model generating random graphs along this line is the popularity-similarity optimisation (PSO) model, offering a scale-free degree distribution, high clustering and the small-world property at the same time. These results provide a strong motivation for the development of hyperbolic embedding algorithms, that tackle the problem of finding the optimal hyperbolic coordinates of the nodes based on the network structure. A very promising recent approach for hyperbolic embedding is provided by the noncentered minimum curvilinear embedding (ncMCE) method, belonging to the family of coalescent embedding algorithms. This approach offers a high-quality embedding at a low running time. In the present work we propose a further optimisation of the angular coordinates in this framework that seems to reduce the logarithmic loss and increase the greedy routing score of the embedding compared to the original version, thereby adding an extra improvement to the quality of the inferred hyperbolic coordinates.

PMID:33863973 | DOI:10.1038/s41598-021-87333-5

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Nevin Manimala Statistics

Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread

NPJ Digit Med. 2021 Apr 16;4(1):73. doi: 10.1038/s41746-021-00442-3.

ABSTRACT

Data from digital disease surveillance tools such as ProMED and HealthMap can complement the field surveillance during ongoing outbreaks. Our aim was to investigate the use of data collected through ProMED and HealthMap in real-time outbreak analysis. We developed a flexible statistical model to quantify spatial heterogeneity in the risk of spread of an outbreak and to forecast short term incidence trends. The model was applied retrospectively to data collected by ProMED and HealthMap during the 2013-2016 West African Ebola epidemic and for comparison, to WHO data. Using ProMED and HealthMap data, the model was able to robustly quantify the risk of disease spread 1-4 weeks in advance and for countries at risk of case importations, quantify where this risk comes from. Our study highlights that ProMED and HealthMap data could be used in real-time to quantify the spatial heterogeneity in risk of spread of an outbreak.

PMID:33864009 | DOI:10.1038/s41746-021-00442-3

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Nevin Manimala Statistics

An ERP study on proactive and reactive response inhibition in individuals with schizotypy

Sci Rep. 2021 Apr 16;11(1):8394. doi: 10.1038/s41598-021-87735-5.

ABSTRACT

Schizotypy, a subclinical group at risk for schizophrenia, has been found to show impairments in response inhibition. However, it remains unclear whether this impairment is accompanied by outright stopping (reactive inhibition) or preparation for stopping (proactive inhibition). We recruited 20 schizotypy and 24 non-schizotypy individuals to perform a modified stop-signal task with electroencephalographic (EEG) data recorded. This task consists of three conditions based on the probability of stop signal: 0% (no stop trials, only go trials), 17% (17% stop trials), and 33% (33% stop trials), the conditions were indicated by the colour of go stimuli. For proactive inhibition (go trials), individuals with schizotypy exhibited significantly lesser increase in go response time (RT) as the stop signal probability increasing compared to non-schizotypy individuals. Individuals with schizotypy also exhibited significantly increased N1 amplitude on all levels of stop signal probability and increased P3 amplitude in the 17% stop condition compared with non-schizotypy individuals. For reactive inhibition (stop trials), individuals with schizotypy exhibited significantly longer stop signal reaction time (SSRT) in both 17% and 33% stop conditions and smaller N2 amplitude on stop trials in the 17% stop condition than non-schizotypy individuals. These findings suggest that individuals with schizotypy were impaired in both proactive and reactive response inhibition at behavioural and neural levels.

PMID:33863942 | DOI:10.1038/s41598-021-87735-5

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Nevin Manimala Statistics

Utility of prophylactic antibiotics for preventing febrile neutropenia during cabazitaxel therapy for castration-resistant prostate cancer

Sci Rep. 2021 Apr 16;11(1):8367. doi: 10.1038/s41598-021-87758-y.

ABSTRACT

The aim was to investigate the efficacy of prophylactic antibiotics for the prevention of febrile neutropenia (FN) during cabazitaxel therapy for castration-resistant prostate cancer (CRPC) with G-CSF. We retrospectively studied 443 cycles of cabazitaxel therapy given to 56 patients with CRPC at Keio University Hospital between May 2012 and August 2018. Statistical analysis was conducted to determine whether the combination of prophylactic G-CSF and antibiotics was more effective in preventing FN, compared with prophylactic G-CSF alone. Prophylactic PEG-G-CSF or G-CSF was administered in all 443 cycles. Only fluoroquinolones were used as prophylactic antibiotics and were administered in 328 cycles (74.0%). FN occurred in 5 cycles (1.1%). Prophylactic antibiotics were administered in 327 cycles (74.6%) in the FN-negative group and in only 1 cycle (20.0%) in the FN-positive group. Chi-square test indicated the incidence of FN was significantly lower in the group that received prophylactic antibiotics compared with the group that did not receive prophylactic antibiotics (P = 0.017). Compared with prophylactic G-CSF alone, prophylactic G-CSF and antibiotics significantly suppressed the occurrence of FN.

PMID:33863964 | DOI:10.1038/s41598-021-87758-y

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Nevin Manimala Statistics

Global phosphoproteomics reveals DYRK1A regulates CDK1 activity in glioblastoma cells

Cell Death Discov. 2021 Apr 16;7(1):81. doi: 10.1038/s41420-021-00456-6.

ABSTRACT

Both tumour suppressive and oncogenic functions have been reported for dual-specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A). Herein, we performed a detailed investigation to delineate the role of DYRK1A in glioblastoma. Our phosphoproteomic and mechanistic studies show that DYRK1A induces degradation of cyclin B by phosphorylating CDC23, which is necessary for the function of the anaphase-promoting complex, a ubiquitin ligase that degrades mitotic proteins. DYRK1A inhibition leads to the accumulation of cyclin B and activation of CDK1. Importantly, we established that the phenotypic response of glioblastoma cells to DYRK1A inhibition depends on both retinoblastoma (RB) expression and the degree of residual DYRK1A activity. Moderate DYRK1A inhibition leads to moderate cyclin B accumulation, CDK1 activation and increased proliferation in RB-deficient cells. In RB-proficient cells, cyclin B/CDK1 activation in response to DYRK1A inhibition is neutralized by the RB pathway, resulting in an unchanged proliferation rate. In contrast, complete DYRK1A inhibition with high doses of inhibitors results in massive cyclin B accumulation, saturation of CDK1 activity and cell cycle arrest, regardless of RB status. These findings provide new insights into the complexity of context-dependent DYRK1A signalling in cancer cells.

PMID:33863878 | DOI:10.1038/s41420-021-00456-6

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Nevin Manimala Statistics

High-yield, wafer-scale fabrication of ultralow-loss, dispersion-engineered silicon nitride photonic circuits

Nat Commun. 2021 Apr 16;12(1):2236. doi: 10.1038/s41467-021-21973-z.

ABSTRACT

Low-loss photonic integrated circuits and microresonators have enabled a wide range of applications, such as narrow-linewidth lasers and chip-scale frequency combs. To translate these into a widespread technology, attaining ultralow optical losses with established foundry manufacturing is critical. Recent advances in integrated Si3N4 photonics have shown that ultralow-loss, dispersion-engineered microresonators with quality factors Q > 10 × 106 can be attained at die-level throughput. Yet, current fabrication techniques do not have sufficiently high yield and performance for existing and emerging applications, such as integrated travelling-wave parametric amplifiers that require meter-long photonic circuits. Here we demonstrate a fabrication technology that meets all requirements on wafer-level yield, performance and length scale. Photonic microresonators with a mean Q factor exceeding 30 × 106, corresponding to 1.0 dB m-1 optical loss, are obtained over full 4-inch wafers, as determined from a statistical analysis of tens of thousands of optical resonances, and confirmed via cavity ringdown with 19 ns photon storage time. The process operates over large areas with high yield, enabling 1-meter-long spiral waveguides with 2.4 dB m-1 loss in dies of only 5 × 5 mm2 size. Using a response measurement self-calibrated via the Kerr nonlinearity, we reveal that the intrinsic absorption-limited Q factor of our Si3N4 microresonators can exceed 2 × 108. This absorption loss is sufficiently low such that the Kerr nonlinearity dominates the microresonator’s response even in the audio frequency band. Transferring this Si3N4 technology to commercial foundries can significantly improve the performance and capabilities of integrated photonics.

PMID:33863901 | DOI:10.1038/s41467-021-21973-z

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Nevin Manimala Statistics

Structural equation modeling to shed light on the controversial role of climate on the spread of SARS-CoV-2

Sci Rep. 2021 Apr 16;11(1):8358. doi: 10.1038/s41598-021-87113-1.

ABSTRACT

Climate seems to influence the spread of SARS-CoV-2, but the findings of the studies performed so far are conflicting. To overcome these issues, we performed a global scale study considering 134,871 virologic-climatic-demographic data (209 countries, first 16 weeks of the pandemic). To analyze the relation among COVID-19, population density, and climate, a theoretical path diagram was hypothesized and tested using structural equation modeling (SEM), a powerful statistical technique for the evaluation of causal assumptions. The results of the analysis showed that both climate and population density significantly influence the spread of COVID-19 (p < 0.001 and p < 0.01, respectively). Overall, climate outweighs population density (path coefficients: climate vs. incidence = 0.18, climate vs. prevalence = 0.11, population density vs. incidence = 0.04, population density vs. prevalence = 0.05). Among the climatic factors, irradiation plays the most relevant role, with a factor-loading of – 0.77, followed by temperature (- 0.56), humidity (0.52), precipitation (0.44), and pressure (0.073); for all p < 0.001. In conclusion, this study demonstrates that climatic factors significantly influence the spread of SARS-CoV-2. However, demographic factors, together with other determinants, can affect the transmission, and their influence may overcome the protective effect of climate, where favourable.

PMID:33863938 | DOI:10.1038/s41598-021-87113-1

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Nevin Manimala Statistics

Increasing Volume-Targeted Ventilation Use in the NICU

Pediatrics. 2021 Apr 16:e20201500. doi: 10.1542/peds.2020-1500. Online ahead of print.

ABSTRACT

BACKGROUND: In preterm infants who require mechanical ventilation (MV), volume-targeted ventilation (VTV) modes are associated with lower rates of bronchopulmonary dysplasia compared with pressure-limited ventilation. Bronchopulmonary dysplasia rates in our NICU were higher than desired, prompting quality improvement initiatives to improve MV by increasing the use of VTV.

METHODS: We implemented and tested interventions over a 3-year period. Primary outcomes were the percentage of conventional MV hours when any-VTV mode was used and the percentage of conventional MV hours when an exclusively VTV mode was used. Exclusively VTV modes were modes in which all breaths were volume targeted. We evaluated outcomes during 3 project periods: baseline (May 2016-December 2016); epoch 1 (December 2016-October 2018), increasing the use of any-VTV mode; and epoch 2 (October 2018-November 2019), increasing the use of exclusively VTV modes.

RESULTS: Use of any-VTV mode increased from 18 694 of 22 387 (83%) MV hours during baseline to 72 846 of 77 264 (94%) and 58 174 of 60 605 (96%) MV hours during epochs 1 and 2, respectively (P < .001). Use of exclusively VTV increased from 5967 of 22 387 (27%) during baseline to 47 364 of 77 264 (61%) and 46 091 of 60 605 (76%) of all conventional MV hours during epochs 1 and 2, respectively (P < .001). In statistical process control analyses, multiple interventions were associated with improvements in primary outcomes. Measured clinical outcomes were unchanged.

CONCLUSIONS: Quality improvement interventions were associated with improved use of VTV but no change in measured clinical outcomes.

PMID:33863843 | DOI:10.1542/peds.2020-1500

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Nevin Manimala Statistics

Classification of chronic pain for the International Classification of Diseases (ICD-11): results of the 2017 International WHO Field Testing

Pain. 2021 Apr 8. doi: 10.1097/j.pain.0000000000002287. Online ahead of print.

ABSTRACT

Because chronic chronic pain has been poorly represented in the International statistical classification of diseases and related health problems (ICD) despite its significant contribution to the burden of disease worldwide, the International Association for the Study of Pain (IASP) developed a classification of chronic pain that was included in the ICD-11 version as ‘MG30’ and approved by the World Health Assembly in 2019. The objective of this field test was to determine its properties. A web-based survey using the WHO-FiT platform recruited 177 health-care professionals from all WHO regions. Following a training on coding chronic pain hosted by the IASP website, participants evaluated 18 diagnostic codes (lines) of the 2017 frozen version of the ICD-11 and 12 vignettes (cases) describing chronic pain conditions. Correctness, ambiguity and perceived difficulty of the coding were compared between the ICD-11 and the ICD-10 and the applicability of the morbidity rules for the ICD-11 verified. In the line coding, 43.0% of correct chronic pain diagnoses assigned with the ICD-10 contrasted with 63.2% with the ICD-11. Especially in cases in which the chronic pain is regarded as the symptom of an underlying disease, the ICD-11 (63.5%) commanded more correct diagnoses than the ICD-10 (26.8%). The case coding was on average 83.9% accurate, only in 1.6% of cases any difficulty was perceived. The morbidity rules were applied correctly in 74.1% of cases. From a coding perspective, the ICD-11 is superior to the ICD-10 in every respect, offering better accuracy, difficulty and ambiguity in coding chronic pain conditions.

PMID:33863861 | DOI:10.1097/j.pain.0000000000002287