Categories
Nevin Manimala Statistics

Impact of sphenoid trigone size and extraocular muscle thickness on the outcome of lateral wall orbital decompression for thyroid eye disease

Oral Maxillofac Surg. 2023 Feb 22. doi: 10.1007/s10006-023-01143-9. Online ahead of print.

ABSTRACT

BACKGROUND: To retrospectively review lateral wall orbital decompression for thyroid eye disease (TED) and to evaluate pre-operative CT scans to analyse the variation in proptosis reduction.

METHODS: Consecutive lateral wall orbital decompressions performed by a single surgeon were retrospectively reviewed. Pre-operative CT scan features and post-operative proptosis reduction were analysed. The sphenoid trigone cross-sectional areas were summed and multiplied by the slice thickness to yield bone volume. Cumulative extraocular muscle thickness was calculated by combining the maximum thickness of the four recti. “Trigone volume” and “cumulative muscle thickness” were correlated with proptosis reduction at 3 months post-surgery.

RESULTS: Out of 73 consecutive lateral wall orbital decompressions, 17 orbits had prior endonasal medial wall orbital decompression. In the remaining 56 orbits, the mean pre-operative and post-operative proptosis were 24.3 ± 1.6 mm and 20.9 ± 2.3 mm respectively. The proptosis reduction ranged from 1 to 7 mm (mean of 3.5 mm ± 1.3 (p < 0.001)). Mean sphenoid trigone volume was 895 ± 434.4 mm3. The mean cumulative muscle thickness was 20.4 ± 5 mm. The correlation coefficient between muscle thickness and proptosis reduction was – 0.3 and was statistically significant (p = 0.043). The correlation coefficient between sphenoidal trigone volume and proptosis reduction was 0.2 (p = 0.068). With a multivariate analysis, the coefficient of efficient of regression for muscle thickness was – 0.007 (p = 0.42) and the coefficient of regression for trigone volume was 0.0 (p = 0.046).

CONCLUSION: Proptosis reduction following lateral wall orbital decompression can be variable. Extraocular muscle thickness had a significant correlation with the outcome, with greater proptosis reduction in orbits with thin muscles. The sphenoidal trigone size had a weak correlation with decompression outcome.

PMID:36813910 | DOI:10.1007/s10006-023-01143-9

Categories
Nevin Manimala Statistics

Do MRI-derived muscle moment-arms in patients with chronic low back pain differ from healthy individuals? A comparative study

Eur Spine J. 2023 Feb 22. doi: 10.1007/s00586-023-07601-y. Online ahead of print.

ABSTRACT

OBJECTIVES: The present study aimed to estimate the trunk muscles moment-arms in low back pain (LBP) patients and compare this data to those of healthy individuals. This research further explored whether the difference of the moment-arms between these two is a contributing factor to LBP.

METHODOLOGY: Fifty patients with CLBP (group A) and 25 healthy controls (group B) were enrolled. All participants were subjected to magnetic resonance imaging of lumbar spine. Muscle moment-arms were estimated on a T2W axial section parallel to the disc.

RESULTS: There was statistically significant differences (p < 0.05) in the sagittal plane moment-arms at L1-L2 for right erector spinae (ES), bilateral psoas and rectus abdominis (RA), right quadratus lumborum (QL), and left obliques; bilateral ES, QL, RA, and right psoas at L2-L3; bilateral QL, RA, and obliques at L3-L4; bilateral RA and obliques at L4-L5; and bilateral psoas, RA, and obliques at L5-S1. There was no statistically significant difference (p < 0.05) in the coronal plane moment-arms except for left ES and QL at L1-L2; left QL and right RA at L3-L4; right RA and obliques at L4-L5; and bilateral ES and right RA at L5-S1.

CONCLUSIONS: There was a significant difference in muscle moment-arms of the lumbar spine’s prime stabilizer (psoas) and primary locomotors (rectus abdominis and obliques) between LBP patients and healthy individuals. This difference in the moment-arms leads to altered compressive forces at intervertebral discs and may be one of the risk factors for LBP.

PMID:36813904 | DOI:10.1007/s00586-023-07601-y

Categories
Nevin Manimala Statistics

Maternal hypertensive disorders and survival without major morbidities among extremely low gestation newborns

J Perinatol. 2023 Feb 22. doi: 10.1038/s41372-023-01631-6. Online ahead of print.

ABSTRACT

OBJECTIVE: Evaluate if odds of survival without major morbidity are higher among extremely low gestation neonates (ELGANs) born to mothers with chronic hypertension (cHTN) or hypertensive disorders of pregnancy (HDP) compared to ELGANs born to mothers without hypertension (HTN).

STUDY DESIGN: Retrospective study of prospectively collected data from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network. Included children had a birthweight of 401-1000 g and/or gestational age of 220/7 to 286/7 wks. The primary outcome was survival to discharge without major morbidity. Multivariable regression models were used to compare outcomes among ELGANs born to women with cHTN, HDP, and no HTN.

RESULTS: Survival without morbidities for newborns of mothers with no HTN, cHTN and HDP (29.1%, 32.9%, 37.0% respectively) did not differ after adjustment.

CONCLUSION: After adjusting for contributing variables maternal HTN is not associated with improved survival free of morbidity among ELGANs.

TRIALS REGISTRATION: clinicaltrials.gov Identifier: NCT00063063 (generic database).

PMID:36813902 | DOI:10.1038/s41372-023-01631-6

Categories
Nevin Manimala Statistics

Clinical and biological markers predictive of treatment response associated with metastatic pancreatic adenocarcinoma

Br J Cancer. 2023 Feb 22. doi: 10.1038/s41416-023-02170-9. Online ahead of print.

ABSTRACT

BACKGROUND: Chemotherapy for metastatic pancreatic adenocarcinoma (PDAC) offers limited benefits, but survival outcomes vary. Reliable predictive response biomarkers to guide patient management are lacking.

METHODS: Patient performance status, tumour burden (determined by the presence or absence of liver metastases), plasma protein biomarkers (CA19-9, albumin, C-reactive protein and neutrophils) and circulating tumour DNA (ctDNA) were assessed in 146 patients with metastatic PDAC prior to starting either concomitant or sequential nab-paclitaxel + gemcitabine chemotherapy in the SIEGE randomised prospective clinical trial, as well as during the first 8 weeks of treatment. Correlations were made with objective response, death within 1 year and overall survival (OS).

RESULTS: Initial poor patient performance status, presence of liver metastases and detectable mutKRAS ctDNA all correlated with worse OS after adjusting for the different biomarkers of interest. Objective response at 8 weeks also correlated with OS (P = 0.026). Plasma biomarkers measured during treatment and prior to the first response assessment identified ≥10% decrease in albumin at 4 weeks predicted for worse OS (HR 4.75, 95% CI 1.43-16.94, P = 0.012), while any association of longitudinal evaluation of mutKRAS ctDNA with OS was unclear (β = 0.024, P = 0.057).

CONCLUSIONS: Readily measurable patient variables can aid the prediction of outcomes from combination chemotherapy used to treat metastatic PDAC. The role of mutKRAS ctDNA as a tool to guide treatment warrants further exploration.

CLINICAL TRIAL REGISTRATION: ISRCTN71070888; ClinialTrials.gov (NCT03529175).

PMID:36813867 | DOI:10.1038/s41416-023-02170-9

Categories
Nevin Manimala Statistics

Improving Quality Metrics with a Day-only Skin Abscess Protocol: Experience from Australia

World J Surg. 2023 Feb 22. doi: 10.1007/s00268-023-06941-6. Online ahead of print.

ABSTRACT

BACKGROUND: Skin abscesses are a common emergency presentation often requiring incision and drainage; however, issues with theatre access lead to delays in management and high costs. The long-term impact in a tertiary centre of a standardised day-only protocol is unknown. The aim was to evaluate the impact of day-only skin abscess protocol (DOSAP) for emergency surgery of skin abscesses in a tertiary institution in Australia and to provide a blueprint for other institutions.

METHODS: A retrospective cohort study analysed several time periods: Period A (July 2014 to 2015, n = 201) pre-DOSAP implementation, Period B (July 2016 to 2017, n = 259) post-DOSAP, and Period C (July 2018 to 2022, n = 1,625) prospectively analysed four 12-month periods to assess long-term utilisation of DOSAP. Primary outcomes were length of stay and delay to theatre. Secondary outcome measures included theatre start time, representation rates and total costs. Statistical analysis using nonparametric methods was used to analyse the data.

RESULTS: There was a significant decrease in ward length of stay (1.25 days vs. 0.65 days, P < 0.0001), delay to theatre (0.81 days vs. 0.44 days, P < 0.0001) and theatre start time before 10AM (44 cases vs. 96 cases, P < 0.0001) after implementation of DOSAP. There was a significant decrease in median cost of admission of $711.74 after accounting for inflation. Period C reported 1,006 abscess presentations successfully managed by DOSAP over the four-year period.

CONCLUSION: Our study demonstrates the successful implementation of DOSAP in an Australian tertiary centre. The ongoing utilisation of the protocol demonstrates the ease of applicability.

PMID:36813864 | DOI:10.1007/s00268-023-06941-6

Categories
Nevin Manimala Statistics

Comparison of three common tonsil surgery techniques: cold steel with hot hemostasis, monopolar and bipolar diathermy

Eur Arch Otorhinolaryngol. 2023 Feb 23. doi: 10.1007/s00405-023-07892-3. Online ahead of print.

ABSTRACT

PURPOSE: To analyze the risk of postoperative hemorrhage in tonsil surgery with different surgical methods, instruments, indications, and age groups. Monopolar diathermy compared to bipolar diathermy was of particular interest.

METHODS: The data from tonsil surgery patients were retrospectively collected between 2012 and 2018 in the Hospital District of Southwest Finland. The surgical method, instruments, indication, sex and age and their association with a postoperative hemorrhage were analyzed.

RESULTS: A total of 4434 patients were included. The postoperative hemorrhage rate for tonsillectomy was 6.3% and for tonsillotomy 2.2%. The most frequently used surgical instruments were monopolar diathermy (58.4%) cold steel with hot hemostasis (25.1%) and bipolar diathermy (6.4%) with the overall postoperative hemorrhage rates 6.1%, 5.9% and 8.1%, respectively. In tonsillectomy patients, the risk for a secondary hemorrhage was higher with bipolar diathermy compared to both monopolar diathermy (p = 0.039) and the cold steel with hot hemostasis technique (p = 0.029). However, between the monopolar and the cold steel with hot hemostasis groups, the difference was statistically non-significant (p = 0.646). Patients aged > 15 years had 2.6 times higher risk for postoperative hemorrhage. The risk of a secondary hemorrhage increased with tonsillitis as the indication, primary hemorrhage, tonsillectomy or tonsillotomy without adenoidectomy, and male sex in patients aged ≤ 15 years.

CONCLUSION: Bipolar diathermy increased the risk for secondary bleedings compared to both monopolar diathermy and the cold steel with hot hemostasis technique in tonsillectomy patients. Monopolar diathermy did not significantly differ from the cold steel with hot hemostasis group regarding the bleeding rates.

PMID:36813861 | DOI:10.1007/s00405-023-07892-3

Categories
Nevin Manimala Statistics

Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

NPJ Digit Med. 2023 Feb 22;6(1):27. doi: 10.1038/s41746-023-00769-z.

NO ABSTRACT

PMID:36813827 | DOI:10.1038/s41746-023-00769-z

Categories
Nevin Manimala Statistics

A multiplexed, paired-pooled droplet digital PCR assay for detection of SARS-CoV-2 in saliva

Sci Rep. 2023 Feb 22;13(1):3075. doi: 10.1038/s41598-023-29858-5.

ABSTRACT

In response to the SARS-CoV-2 pandemic, we developed a multiplexed, paired-pool droplet digital PCR (MP4) screening assay. Key features of our assay are the use of minimally processed saliva, 8-sample paired pools, and reverse-transcription droplet digital PCR (RT-ddPCR) targeting the SARS-CoV-2 nucleocapsid gene. The limit of detection was determined to be 2 and 12 copies per µl for individual and pooled samples, respectively. Using the MP4 assay, we routinely processed over 1,000 samples a day with a 24-h turnaround time and over the course of 17 months, screened over 250,000 saliva samples. Modeling studies showed that the efficiency of 8-sample pools was reduced with increased viral prevalence and that this could be mitigated by using 4-sample pools. We also present a strategy for, and modeling data supporting, the creation of a third paired pool as an additional strategy to employ under high viral prevalence.

PMID:36813822 | DOI:10.1038/s41598-023-29858-5

Categories
Nevin Manimala Statistics

Machine-learning-based Web system for the prediction of chronic kidney disease progression and mortality

PLOS Digit Health. 2023 Jan 18;2(1):e0000188. doi: 10.1371/journal.pdig.0000188. eCollection 2023 Jan.

ABSTRACT

Chronic kidney disease (CKD) patients have high risks of end-stage kidney disease (ESKD) and pre-ESKD death. Therefore, accurately predicting these outcomes is useful among CKD patients, especially in those who are at high risk. Thus, we evaluated whether a machine-learning system can predict accurately these risks in CKD patients and attempted its application by developing a Web-based risk-prediction system. We developed 16 risk-prediction machine-learning models using Random Forest (RF), Gradient Boosting Decision Tree, and eXtreme Gradient Boosting with 22 variables or selected variables for the prediction of the primary outcome (ESKD or death) on the basis of repeatedly measured data of CKD patients (n = 3,714; repeatedly measured data, n = 66,981) in their electronic-medical records. The performances of the models were evaluated using data from a cohort study of CKD patients carried out over 3 years (n = 26,906). One RF model with 22 variables and another RF model with 8 variables of time-series data showed high accuracies of the prediction of the outcomes and were selected for use in a risk-prediction system. In the validation, the 22- and 8-variable RF models showed high C-statistics for the prediction of the outcomes: 0.932 (95% CI 0.916, 0.948) and 0.93 (0.915, 0.945), respectively. Cox proportional hazards models using splines showed a highly significant relationship between the high probability and high risk of an outcome (p<0.0001). Moreover, the risks of patients with high probabilities were higher than those with low probabilities: 22-variable model, hazard ratio of 104.9 (95% CI 70.81, 155.3); 8-variable model, 90.9 (95% CI 62.29, 132.7). Then, a Web-based risk-prediction system was actually developed for the implementation of the models in clinical practice. This study showed that a machine-learning-based Web system is a useful tool for the risk prediction and treatment of CKD patients.

PMID:36812636 | DOI:10.1371/journal.pdig.0000188

Categories
Nevin Manimala Statistics

High resolution data modifies intensive care unit dialysis outcome predictions as compared with low resolution administrative data set

PLOS Digit Health. 2022 Oct 11;1(10):e0000124. doi: 10.1371/journal.pdig.0000124. eCollection 2022 Oct.

ABSTRACT

High resolution clinical databases from electronic health records are increasingly being used in the field of health data science. Compared to traditional administrative databases and disease registries, these newer highly granular clinical datasets offer several advantages, including availability of detailed clinical information for machine learning and the ability to adjust for potential confounders in statistical models. The purpose of this study is to compare the analysis of the same clinical research question using an administrative database and an electronic health record database. The Nationwide Inpatient Sample (NIS) was used for the low-resolution model, and the eICU Collaborative Research Database (eICU) was used for the high-resolution model. A parallel cohort of patients admitted to the intensive care unit (ICU) with sepsis and requiring mechanical ventilation was extracted from each database. The primary outcome was mortality and the exposure of interest was the use of dialysis. In the low resolution model, after controlling for the covariates that are available, dialysis use was associated with an increased mortality (eICU: OR 2.07, 95% CI 1.75-2.44, p<0.01; NIS: OR 1.40, 95% CI 1.36-1.45, p<0.01). In the high-resolution model, after the addition of the clinical covariates, the harmful effect of dialysis on mortality was no longer significant (OR 1.04, 95% 0.85-1.28, p = 0.64). The results of this experiment show that the addition of high resolution clinical variables to statistical models significantly improves the ability to control for important confounders that are not available in administrative datasets. This suggests that the results from prior studies using low resolution data may be inaccurate and may need to be repeated using detailed clinical data.

PMID:36812632 | DOI:10.1371/journal.pdig.0000124