Nevin Manimala

J Surg Res. 2021 Mar 8;263:230-235. doi: 10.1016/j.jss.2020.12.038. Online ahead of print.

ABSTRACT

BACKGROUND: Frailty syndrome is an established predictor of adverse outcomes after surgical procedures. Our study aimed to compare the simplified National Surgical Quality Improvement Program 5-factor-modified frailty index (mFI-5) to its prior 11-factor-modified frailty index (mFI-11) with respect to the predictive ability for mortality, postoperative complications, and unplanned 30-d readmission in patients undergoing lower limb amputation.

METHODS: The National Surgical Quality Improvement Program (2005-2012) databank was queried for all geriatric patients (>65 y) who underwent above-knee and below-knee amputations. We calculated each mFI by dividing the number of factors present for a patient by the total number of available factors. To assess the correlation between the mFI-5 and mFI-11, we used Spearman’s rho rank coefficient. We then compared the two indices for each outcome (30-d complication, 30-d mortality, and 30-d readmission) and C-Statistic using predictive models.

RESULTS: A total of 8681 patients were included with mean age of 76 ± 9 y, complication rate 35.8%, mortality rate 10.2%, and readmission rate 15.9%. There was no difference in type of amputation in frail and nonfrail. Correlation between the mFI-5 and mFI-11 was above 0.9 for all outcome measures. Both mFI-5 and mFI-11 indexes had strong predictive ability for mortality, postoperative complications, and 30-d readmissions.

CONCLUSIONS: In patients undergoing major lower limb amputation, we found mFI-5 and the mFI-11 were equally effective in predicting postoperative outcomes. Frailty remained a strong predictor of postoperative complications, mortality, and 30-d readmission.

PMID:33706166 | DOI:10.1016/j.jss.2020.12.038

Arch Oral Biol. 2021 Mar 4;125:105102. doi: 10.1016/j.archoralbio.2021.105102. Online ahead of print.

ABSTRACT

OBJECTIVE: To test the applicability of “Gleiser and Hunt dental staging system modified by Kohler” (GHK) to assess third molar (3 M) development in a Russian population in order to determine the age of majority.

DESIGN: The sample consisted of 918 panoramic radiographs from Russian females (n = 551) and males (n = 367) within the age interval between 8 and 23 years. On each radiograph, 3 M development was classified based on the GHK technique. Statistics tested the data for normality. Mean age and standard deviation were described for each 3 M position. Ordinal logistic regression tested the performance of the technique to classify individuals below or above the 18-year threshold. Receiver Operating Characteristic (ROC) curves were used.

RESULTS: The mean ages and standard deviation (SD) for apex closure in females were 21,11 (SD = 1,47), 21,11 (SD = 1,43), 21,24 (SD = 1,39), and 21,29 (SD = 1,28) years for the teeth #18, 28, 38, and 48, respectively. Among males, the same teeth showed mean closure ages of 20,57 (SD = 1,69), 20,64 (SD = 1,76), 20,68 (SD = 1,68), and 20,81 (SD = 1,62) years, respectively. Area under the curve (AUC) reached 0.904 and 0.915 for classifying females and males below or above the 18-year threshold.

CONCLUSION: The GHK technique was able to describe 3 M development in a Russian population. The statistic model was able to classify individuals below or above the 18-year threshold. However, the outcomes must be carefully interpreted, especially in borderline cases (17-19-year spectrum).

PMID:33706152 | DOI:10.1016/j.archoralbio.2021.105102

Phys Med. 2021 Mar 8;83:38-45. doi: 10.1016/j.ejmp.2021.02.023. Online ahead of print.

ABSTRACT

Lung ultrasound (LUS) imaging as a point-of-care diagnostic tool for lung pathologies has been proven superior to X-ray and comparable to CT, enabling earlier and more accurate diagnosis in real-time at the patient’s bedside. The main limitation to widespread use is its dependence on the operator training and experience. COVID-19 lung ultrasound findings predominantly reflect a pneumonitis pattern, with pleural effusion being infrequent. However, pleural effusion is easy to detect and to quantify, therefore it was selected as the subject of this study, which aims to develop an automated system for the interpretation of LUS of pleural effusion. A LUS dataset was collected at the Royal Melbourne Hospital which consisted of 623 videos containing 99,209 2D ultrasound images of 70 patients using a phased array transducer. A standardized protocol was followed that involved scanning six anatomical regions providing complete coverage of the lungs for diagnosis of respiratory pathology. This protocol combined with a deep learning algorithm using a Spatial Transformer Network provides a basis for automatic pathology classification on an image-based level. In this work, the deep learning model was trained using supervised and weakly supervised approaches which used frame- and video-based ground truth labels respectively. The reference was expert clinician image interpretation. Both approaches show comparable accuracy scores on the test set of 92.4% and 91.1%, respectively, not statistically significantly different. However, the video-based labelling approach requires significantly less effort from clinical experts for ground truth labelling.

PMID:33706149 | DOI:10.1016/j.ejmp.2021.02.023

J Basic Clin Physiol Pharmacol. 2021 Mar 11. doi: 10.1515/jbcpp-2020-0378. Online ahead of print.

ABSTRACT

OBJECTIVES: The novel corona virus disease, which was initially reported in China in late 2019, has become a global pandemic affecting 330 million cases. COVID-19 affects predominantly the respiratory system, in addition to other organ systems, mainly the cardiovascular system. One of the hypotheses is that virus entering the target cells by binding to angiotensin converting enzyme 2 affecting hypothalamic pituitary axis could lead to dysautonomia which is measured by heart rate variability (HRV). HRV is a non-invasive measure of autonomic function that facilitates identification of COVID-19 patients at the risk of developing cardiovascular complications. So, we aimed to assess HRV in COVID patients and compare between COVID patients and normal controls.

METHODS: In a case control design, we compared 63 COVID-19 infected patients with 43 healthy controls matched for age and gender. Along with clinical characterization, heart rate variability was evaluated using ambulatory 5 min ECG in lead II and expressed in frequency and time domain measures. Statistical analysis was performed using SPSS 17.0.

RESULTS: Mean age of the study population was 49.1 ± 14.2 years and 71 (66.9%) were males. Frequency domain measures high (HF) and low (LF) frequency powers were significantly decreased in COVID-19 patients compared to controls. HF/LF and LF/HF ratios were not different between groups. Time domain measures rMSSD (root mean square of successive RR interval differences) and SDNN (standard deviation of NN intervals) were significantly increased among COVID-19 subjects. COVID-19 infection was associated with increased parasympathetic activity as defined by rMSSD>40 {adjusted odds ratio 7.609 (95% CI 1.61-35.94); p=0.01} and SDNN>60 {adjusted odds ratio 2.620 (95% CI 1.070-6.44); p=0.035} after adjusting for age, gender and comorbidities.

CONCLUSIONS: Our study results showed increased parasympathetic tone in COVID patients. Early diagnosis of autonomic imbalance in COVID patients is needed to plan management and limit progression of disease.

PMID:33705614 | DOI:10.1515/jbcpp-2020-0378

J Osteopath Med. 2021 Mar 11. doi: 10.1515/jom-2020-0288. Online ahead of print.

ABSTRACT

CONTEXT: Recent studies have suggested a connection between low back pain (LBP) and urinary tract infections (UTI). These disturbances could be triggered via visceral-somatic pathways, and there is evidence that kidney mobility is reduced in patients suffering from nonspecific LBP. Manual treatment of the perinephric fascia could improve both kidney mobility and LBP related symptoms.

OBJECTIVES: To assess whether manual treatment relieves UTI and reduces pain in patients with nonspecific LBP through improvement in kidney mobility.

METHODS: Records from all patients treated at a single physical therapy center in 2019 were retrospectively reviewed. Patients were included if they were 18 years of age or older, had nonspecific LBP, and experienced at least one UTI episode in the 3 months before presentation. Patients were excluded if they had undergone manipulative treatment in the 6 months before presentation, if they had one of several medical conditions, if they had a history of chronic pain medication use, and more. Patient records were divided into two groups for analysis: those who were treated with manipulative techniques of the fascia with thrust movement (Group A) vs those who were treated without thrust movement (Group B). Kidney Mobility Scores (KMS) were analyzed using high resolution ultrasound. Symptoms as reported at patients’ 1 month follow up visits were also used to assess outcomes; these included UTI relapse, lumbar spine mobility assessed with a modified Schober test, and lumbar spine pain.

RESULTS: Of 126 available records, 20 patients were included in this retrospective study (10 in Group A and 10 in Group B), all of whom who completed treatment and attended their 1 month follow up visit. Treatments took place in a single session for all patients and all underwent ultrasound of the right kidney before and after treatment. The mean (± standard deviation) KMS (1.9 ± 1.1), mobility when bending (22.7 ± 1.2), and LBP scores (1.2 ± 2.6) of the patients in Group A improved significantly in comparison with the patients in Group B (mean KMS, 1.1 ± 0.8; mobility when bending, 21.9 ± 1.1; and LBP, 3.9 ± 2.7) KMS, p<0.001; mobility when bending, p=0.003; and LBP, p=0.007). At the 1 month follow up visit, no significant statistical changes were observed in UTI recurrence (secondary outcome) in Group A (-16.5 ± 4.3) compared with Group B (-20.4 ± 7) (p=0.152).

CONCLUSIONS: Manual treatments for nonspecific LBP associated with UTI resulted in improved mobility and symptoms for patients in this retrospective study, including a significant increase in kidney mobility.

PMID:33705610 | DOI:10.1515/jom-2020-0288

Clin Exp Allergy. 2021 Mar 11. doi: 10.1111/cea.13864. Online ahead of print.

ABSTRACT

BACKGROUND: Several maternal conditions can affect foetal growth, and asthma during pregnancy is known to be associated with lower birth weight and shorter gestational age.

OBJECTIVE: In a new Swedish cohort study on maternal asthma exposure and stress during pregnancy (MAESTRO), we have assessed if there is evidence of early foetal growth restriction in asthmatic women or if a growth restriction might come later during pregnancy.

METHODS: We recruited women from eight antenatal clinics in Stockholm, Sweden. Questionnaires on background factors, asthma status and stress were assessed during pregnancy. The participants were asked to consent to collection of medical records including ultrasound measures during pregnancy, and linkage to national health registers. In women with and without asthma, we studied reduced or increased growth by comparing the second trimester ultrasound with first trimester estimation. We defined reduced growth as estimated days below the 10^th percentile and increased growth as days above the 90^th percentile. At birth, the weight and length of the newborn and the gestational age was compared between women with and without asthma.

RESULTS: We enrolled 1693 participants in early pregnancy and collected data on deliveries and ultrasound scans in 1580 pregnancies, of which 18% of the mothers had asthma. No statistically significant reduced or increased growth between different measurement points were found when women with and without asthma were compared; adjusted odds ratios for reduced growth between first and second trimester 1.11 95 % CI (0.63 – 1.95) and increased growth 1.09 95% CI (0.68 – 1.77).

CONCLUSION AND CLINICAL RELEVANCE: In conclusion, we could not find evidence supporting an influence of maternal asthma on early foetal growth in the present cohort: Although the relatively small sample size, which may enhance the risk of a type II error, it is concluded that a potential difference is likely to be very small.

PMID:33705581 | DOI:10.1111/cea.13864

Epilepsia. 2021 Mar 11. doi: 10.1111/epi.16864. Online ahead of print.

ABSTRACT

OBJECTIVE: Although temporal lobe epilepsy (TLE) is recognized as a system-level disorder, little work has investigated pathoconnectomics from a dynamic perspective. By leveraging computational simulations that quantify patterns of information flow across the connectome, we tested the hypothesis that network communication is abnormal in this condition, studied the interplay between hippocampal- and network-level disease effects, and assessed associations with cognition.

METHODS: We simulated signal spreading via a linear threshold model that temporally evolves on a structural graph derived from diffusion-weighted magnetic resonance imaging (MRI), comparing a homogeneous group of 31 patients with histologically proven hippocampal sclerosis to 31 age- and sex-matched healthy controls. We evaluated the modulatory effects of structural alterations of the neocortex and hippocampus on network dynamics. Furthermore, multivariate statistics addressed the relationship with cognitive parameters.

RESULTS: We observed a slowing of in- and out-spreading times across multiple areas bilaterally, indexing delayed information flow, with the strongest effects in ipsilateral frontotemporal regions, thalamus, and hippocampus. Effects were markedly reduced when controlling for hippocampal volume but not cortical thickness, underscoring the central role of the hippocampus in whole-brain disease expression. Multivariate analysis associated slower spreading time in frontoparietal, limbic, default mode, and subcortical networks with impairment across tasks tapping into sensorimotor, executive, memory, and verbal abilities.

SIGNIFICANCE: Moving beyond descriptions of static topology toward the formulation of brain dynamics, our work provides novel insight into structurally mediated network dysfunction and demonstrates that altered whole-brain communication dynamics contribute to common cognitive difficulties in TLE.

PMID:33705572 | DOI:10.1111/epi.16864

Ecology. 2021 Mar 11:e03332. doi: 10.1002/ecy.3332. Online ahead of print.

ABSTRACT

Our planet is facing significant changes of biodiversity across spatial scales. Although the negative effects of local biodiversity (α diversity) loss on ecosystem stability are well documented, the consequences of biodiversity changes at larger spatial scales, in particular biotic homogenization, i.e. reduced species turnover across space (β diversity), remain poorly known. Using data from 39 grassland biodiversity experiments, we examine the effects of β diversity on the stability of simulated landscapes while controlling for potentially confounding biotic and abiotic factors. Our results show that higher β diversity generates more asynchronous dynamics among local communities and thereby contributes to the stability of ecosystem productivity at larger spatial scales. We further quantify the relative contributions of α and β diversity to ecosystem stability and find a relatively stronger effect of α diversity, possibly due to the limited spatial scale of our experiments. The stabilizing effects of both α and β diversity lead to a positive diversity-stability relationship at the landscape scale. Our findings demonstrate the destabilizing effect of biotic homogenization and suggest that biodiversity should be conserved at multiple spatial scales to maintain the stability of ecosystem functions and services.

PMID:33705570 | DOI:10.1002/ecy.3332

J Natl Cancer Inst. 2021 Mar 10:djab035. doi: 10.1093/jnci/djab035. Online ahead of print.

ABSTRACT

BACKGROUND: Accumulated evidence supports the existence of sex-associated differences in immune systems. Understanding the role of sex in immune-related adverse events (irAEs) is important for management of irAE in patients receiving immunotherapy.

METHODS: We performed meta-analysis on published clinical study data and multivariable logistic regression on pharmacovigilance data and applied a propensity algorithm to The Cancer Genome Atlas (TCGA) omics data. We further validated our observations in two independent in-house cohorts of 179 and 767 cancer patients treated with immune checkpoint inhibitors.

RESULTS: A meta-analysis using 13 clinical studies that reported on 1,096 female patients (36.8%, 95% confidence interval [CI] = 35.0%-38.5%) and 1,886 male patients (63.2%, 95% CI = 61.5%-65.0%) demonstrated no statistically significant irAE risk difference between the sexes (odds ratio [OR] = 1.19; 95% CI = 0.91-1.54; 2-sided P = 0.21). Multivariable logistic regression analysis of 12,225 patients from FAERS and 10,979 patients from VigiBase showed no statistically significant difference in irAEs by sex. A propensity score algorithm used on multi-omics data for 6,019 patients from TCGA found no statistically significant difference by sex for irAE-related factors/pathways. The retrospective analysis of two in-house patient cohorts validated these results (OR = 1.55, 95% CI = 0.98-2.47; FDR = 0.13, for cohort 1; OR = 1.16, 95%CI = 0.86-1.57; FDR = 0.39, for cohort 2).

CONCLUSION: We observed minimal sex-associated differences in irAEs among cancer patients who received immune checkpoint inhibitor therapy. It may be unnecessary to consider gender effects for irAE management in clinical practice.

PMID:33705549 | DOI:10.1093/jnci/djab035

PLoS One. 2021 Mar 11;16(3):e0248421. doi: 10.1371/journal.pone.0248421. eCollection 2021.

ABSTRACT

Postoperative hearing improvement is one of the main expectations for patients receiving tympanoplasty. The capacity to predict postoperative hearing may help to counsel a patient properly and avoid untoward expectations. It is difficult to predict postoperative hearing without knowing the disease process in the middle ear, which can only be assessed intraoperatively. However, the duration and extent of the underlying pathologies may represent in bone-conduction threshold and air-bone gap. Here in patients undergoing tympanoplasty without ossiculoplasty, we sorted and separated the surgery dates into the first group to build the predicting models and the second group to test the predictions. There were 87 and 30 ears, respectively. No specific enrollment or exclusion criteria were based on underlying pathologies such as the perforation size of the tympanic membrane or the middle ear conditions. The results show that bone-conduction threshold and air-bone gap together predicted air-conduction threshold after the surgery, including each frequency of 0.5k, 1k, 2k, and 4k Hz. The discrepancies between the predictions and recordings did not differ among these four frequencies. Of the variance in mean postoperative air-conduction threshold, 56.7% was linearly accounted for by these two preoperative predictors in this sample. The results suggest a trend that, the higher the frequency, the larger the part was accounted for by these two preoperative predictors. These together may help a surgeon to estimate frequency-specific hearing outcome after the surgery, answer patients’ questions with quantitative statistics, and counsel patients with proper expectations.

PMID:33705499 | DOI:10.1371/journal.pone.0248421