Tag: nevin manimala

BMC Psychiatry. 2023 Sep 18;23(1):677. doi: 10.1186/s12888-023-05166-0.

ABSTRACT

BACKGROUND: COVID-19 caused mild to severe infections in humans. The long-term epidemic environment harms people’s mental health. To explore the impact of the epidemic on people’s mental and psychological conditions, we surveyed in Wenzhou.

METHODS: We collected the data of people who visited the First Affiliated Hospital of Wenzhou Medical University for five types of mental and psychological diseases from January 2018 to December 2021. Then, taking December 2019 as the cut-off point, the 48-month data were divided into the pre-epidemic group and the dur-epidemic group. Based on the above data, statistical analysis was done.

RESULTS: From 2018 to 2021, the number of initial diagnoses, the number of disease visits, and drug consumption for these five types of mental and psychological diseases were all on the rise. Compared with the number of disease visits for all disorders in both psychiatry and neurology departments, it was found that the growth rate of these five diseases was higher than the growth rate of all disorders. We found that the number of disease visits, drug consumption, and scale scores after the COVID-19 outbreak were significantly different from those before the outbreak (P < 0.05). And the number of disease visits positively correlated with drug consumption (P < 0.0001, r = 0.9503), which verified the stability of the data.

CONCLUSION: The epidemic environment has had a long-term and negative impact on people’s mental and psychological conditions. Therefore, whether or not the epidemic is receding, we still need to be concerned about the impact of COVID-19 on mental and psychological health.

PMID:37723474 | DOI:10.1186/s12888-023-05166-0

BMC Infect Dis. 2023 Sep 18;23(1):610. doi: 10.1186/s12879-023-08599-w.

ABSTRACT

BACKGROUND: The course of monkeypox can be severe. Our aim was to retrospectively compare the risk of hospital admission, the need for ventilation, sepsis, pneumonitis and death between the recent outbreak and historical outbreaks.

MATERIALS AND METHODS: Cases of monkeypox were retrieved from the TriNetX database and assigned to either cohort I (recent outbreak between May 1st and September 16th, 2022) and cohort II (historical outbreaks before May 1st, 2022). After matching for age distribution, statistical analysis was performed.

RESULTS: Of 640 patients with monkeypox 81 subjects per cohort remained after matching (mean age±standard deviation = 36.1±18.3 years). Within 56 days after diagnosis 10 patients per cohort were hospitalized (12.4%) and/or developed sepsis (12.4%). The risk of ventilation and pneumonitis were significantly lower among cohort I compared with cohort II (0 vs. 10 cases; risk difference = 12.4%; p = 0.001; Log-Rank test). No cases of death were recorded.

CONCLUSION: Even though monkeypox provides a risk of severe courses, the infection is self-limiting in most cases. Unlike past outbreaks, the risk of ventilation and pneumonitis may be relatively low among recent outbreaks.

PMID:37723464 | DOI:10.1186/s12879-023-08599-w

J Orthop Surg Res. 2023 Sep 19;18(1):700. doi: 10.1186/s13018-023-04204-7.

ABSTRACT

BACKGROUND: Postoperative surgical site infections (SSIs) are an important complication to prevent in surgical treatment. Patients with diabetes mellitus (DM) have a higher risk of SSIs. Preoperative glycemic control is required. For patients with orthopedic trauma, the duration of preoperative glycemic control is limited because delaying operative treatment is difficult. However, whether preoperative glycemic control would decrease the risk of SSIs in diabetic patients with lower extremity fractures is unclear. The first aim of this study was to investigate the rate of SSIs among patients with DM who had undergone preoperative glycemic control, compared with that of patients without DM. As the secondary aim, we sought to demonstrate among patients with DM whether preoperative glycemic control would affect the development of SSIs between patients with controlled DM and patients with poorly controlled DM.

METHODS: In this retrospective cohort study, 1510 patients treated surgically for lower extremity fractures were enrolled. Data collected were patient age, sex, body mass index, history of DM, development of SSIs, tobacco use, the presence of an open fracture, the period between the day of injury and the operation, the length of surgery, and blood glucose levels on admission and on the day before surgery.

RESULTS: The rate of total SSIs was 6.0% among patients with DM and 4.4% among patients without DM (p = 0.31). Multivariate logistic regression revealed a significant association between the development of SSIs and the presence of DM (odds ratio, 1.79; 95% confidence interval 1.01-3.19; p = 0.047). The results of the secondary study revealed that the rate of early SSIs was significantly higher in the poorly controlled DM group than in the controlled DM group (5.9% vs. 1.5%; p = 0.032). However, multivariate logistic regression revealed that control levels of DM were not significantly associated with the development of SSIs.

CONCLUSIONS: Even though patients with DM had undergone preoperative glycemic control, SSIs were significantly associated with DM, especially when the patients had poorly controlled DM. This finding suggested that continuous glycemic control is important preoperatively and postoperatively to prevent SSIs.

PMID:37723461 | DOI:10.1186/s13018-023-04204-7

BMC Geriatr. 2023 Sep 18;23(1):574. doi: 10.1186/s12877-023-04290-6.

ABSTRACT

BACKGROUND: The short physical performance battery (SPPB) is an easy-to-use tool for fall risk prediction, but its predictive value for falls and fall-induced injuries among community dwellers has not been examined through a large-sample longitudinal study.

METHODS: We analyzed five-round follow-up data (2, 3, 4, 5, 7 years) of the China Health and Retirement Longitudinal Study (CHARLS) (2011-2018). Data concerning falls and fall-induced injuries during multi-round follow-ups were collected through participant self-report. The Cochran-Armitage trend test examined trends in fall incidence rate across SPPB performance levels. Multivariable logistic regression and negative binomial regression models examined associations between SPPB performance and subsequent fall and fall-induced injury. The goodness-of-fit and area under the receiver operating curve (AUC) were used together to quantify the value of the SPPB in predicting fall and fall-induced injury among community-dwelling older adults.

RESULTS: The CHARLS study included 9279, 6153, 4142, 4148, and 3583 eligible adults aged 60 years and older in the five included follow-up time periods. SPPB performance was associated with fall and fall-induced injury in two and three of the five follow-up time periods, respectively (P < 0.05). The goodness-of-fit for all predictive models was poor, with both Cox-Snell R² and Nagelkerke R² under 0.10 and AUCs of 0.53-0.57 when using only SPPB as a predictor and with both Cox-Snell R² and Nagelkerke R² lower than 0.12 and AUCs of 0.61-0.67 when using SPPB, demographic variables, and self-reported health conditions as predictors together. Sex and age-specific analyses displayed highly similar results.

CONCLUSIONS: Neither use of SPPB alone nor SPPB together with demographic variables and self-reported health conditions appears to offer good predictive performance for falls or fall-induced injuries among community-dwelling older Chinese adults.

PMID:37723438 | DOI:10.1186/s12877-023-04290-6

BMC Bioinformatics. 2023 Sep 18;24(1):347. doi: 10.1186/s12859-023-05481-z.

ABSTRACT

BACKGROUND: The ability to accurately predict essential genes intolerant to loss-of-function (LOF) mutations can dramatically improve the identification of disease-associated genes. Recently, there have been numerous computational methods developed to predict human essential genes from population genomic data. While the existing methods are highly predictive of essential genes of long length, they have limited power in pinpointing short essential genes due to the sparsity of polymorphisms in the human genome.

RESULTS: Motivated by the premise that population and functional genomic data may provide complementary evidence for gene essentiality, here we present an evolution-based deep learning model, DeepLOF, to predict essential genes in an unsupervised manner. Unlike previous population genetic methods, DeepLOF utilizes a novel deep learning framework to integrate both population and functional genomic data, allowing us to pinpoint short essential genes that can hardly be predicted from population genomic data alone. Compared with previous methods, DeepLOF shows unmatched performance in predicting ClinGen haploinsufficient genes, mouse essential genes, and essential genes in human cell lines. Notably, at a false positive rate of 5%, DeepLOF detects 50% more ClinGen haploinsufficient genes than previous methods. Furthermore, DeepLOF discovers 109 novel essential genes that are too short to be identified by previous methods.

CONCLUSION: The predictive power of DeepLOF shows that it is a compelling computational method to aid in the discovery of essential genes.

PMID:37723435 | DOI:10.1186/s12859-023-05481-z

BMC Pregnancy Childbirth. 2023 Sep 18;23(1):669. doi: 10.1186/s12884-023-05978-8.

ABSTRACT

BACKGROUND: The World Health Organization recommends birth companionship for all women in labor. There is insufficient evidence on birth companionship in low-income settings and it is not clear if role orientation impacts effectiveness. The aim of this study was to assess the efficacy of midwife-led role orientation of birth companions of on maternal satisfaction and birth outcomes in a sub-region in Uganda.

METHODS: A stepped wedge cluster randomized trial conducted (control n = 240), intervention n = 235) from 4 clusters. Women who had a birth companion, in spontaneously established labor and, expecting a vaginal delivery were eligible. The intervention was “midwife-provided orientation of birth companions”. The admitting midwife provided an orientation session for the birth companion on supportive labor techniques. The primary outcome was the chance of having a spontaneous vaginal delivery. Assessors were not blinded. Independent t-test and Chi-Square tests were used to assess the differences by study period.

RESULTS: Mean maternal satisfaction rate was significantly higher in the intervention period compared to the control period (P > 0.001). High maternal satisfaction levels were noted among the women who were; at the regional referral hospital, younger, first-time mothers, and unmarried (P < 0.001). Satisfaction with pain management was rated lowest across study periods. Satisfaction with humaneness was rated highest with a higher score in the intervention period (93%) than the control (79.5%). There were no statistically significant differences in the mode of delivery, need to augment labor, length of labor and Apgar scores.

CONCLUSION: Midwife-led role orientation of birth companions increased maternal satisfaction. Nevertheless, no significant effect was noted in the mode of delivery, length of labor, Apgar score, and need to augment labor. Findings could inform the integration of birth companions in the admission process of the woman in labor in similar settings.

TRIAL REGISTRATION NUMBER: NCT04771325.

PMID:37723430 | DOI:10.1186/s12884-023-05978-8

BMC Geriatr. 2023 Sep 19;23(1):575. doi: 10.1186/s12877-023-04275-5.

ABSTRACT

BACKGROUND: The assessment of a wide range of cognitive functions using video teleconference (VTC) systems cannot be applied in practice yet. We aimed to determine the feasibility and reliability of previously unvalidated remote cognitive function tests in Japan using common information and communication technology (ICT) devices, software, and VTC systems compared with face-to-face (FTF) assessment.

METHODS: The sample consisted of 26 participants from senior citizens clubs and an employment service centre in Sapporo Japan, including 11 females and 15 males (age averaged 78.6 ± 6.8 years). Tests included the RCPM, Story recall, 10/36 spatial recall, selective reminding test, SDMT, PASAT, FAB, TMT-A, TMT-B, visual cancellation task, digit span, tapping span. The experimental design was a counterbalanced crossover randomised controlled trial. Intraclass correlations (ICCs), paired-samples t-tests, Cohen’s Kappa (κ) coefficients, and Wilcoxon signed-rank test were calculated to compare the scores between VTC and FTF assessments.

RESULTS: All ICCs were significant and ranged from 0.47 (RCPM time) to 0.92 (RCPM score and PASAT), with a mean ICC of 0.75. Digit span using Cohen’s Kappa (κ) coefficient was significant, but the tapping span was not. Paired samples t-test showed statistically significant differences in SDMT, RCPM time, and cancellation time.

CONCLUSIONS: The results suggest that remote video conference-based neuropsychological tests even using familiar devices and software may be able to assess a wide range of cognitive functions in the Japanese older population. As for the processing speed tasks, we need to create our own standards for the remote condition. For the tapping span, we should consider increasing the number of trials.

PMID:37723429 | DOI:10.1186/s12877-023-04275-5

BMC Neurol. 2023 Sep 18;23(1):330. doi: 10.1186/s12883-023-03373-6.

ABSTRACT

BACKGROUND: Visual dysfunction have been well reported as one of the non-motor symptoms in Parkinson’s disease (PD). The aim of this study was to evaluate the functional and structural changes in the retina in patients with PD, and to correlate these changes with disease duration and motor dysfunction.

METHODS: For this case-control study, we recruited patients fulfilling the diagnostic criteria for idiopathic PD according to British Brain Bank criteria, aged between 50 and 80 years. Age- and sex-matched healthy controls aged between 50 and 80 years were also recruited. Motor function for PD patients was assessed using Modified Hoehn and Yahr staging scale (H & Y staging) and Unified Parkinson’s Disease Rating Scale (UPDRS). Optical Coherence Tomography (OCT) and full field electroretinogram (ff-ERG) were done to all participants.

RESULTS: Data from 50 patients and 50 healthy controls were included in the analysis. Patients with idiopathic Parkinson’s had significantly reduced peripapillary retinal nerve fiber layer (RNFL) thickness and macular ganglion cell complex (GCC) thickness compared to healthy controls (P-value < 0.05 in all parameters). They also had significantly delayed latency and reduced amplitude in both dark-adapted rods and the light-adapted cone for both a & b waves compared to healthy controls (P-value < 0.001 in all parameters). There were statistically significant negative correlations between disease duration, and left superior, right inferior and right & left average RNFL thickness [(r) coef. = -0.327, -0.301, -0.275, and -0.285 respectively]. UPDRS total score was negatively correlated with the amplitude of light-adapted of both RT and LT a & b wave and with dark-adapted RT b-wave latency [(r) coef. = -0.311, -0.395, -0.362, -0.419, and -0.342].

CONCLUSION: The retinal structure and function were significantly affected in patients with PD in comparison to healthy controls. There was a significant impact of disease duration on retinal thickness, and there was a significant negative correlation between the degree of motor dysfunction in patients with PD and retinal function.

PMID:37723424 | DOI:10.1186/s12883-023-03373-6

BMC Med Imaging. 2023 Sep 18;23(1):135. doi: 10.1186/s12880-023-01090-7.

ABSTRACT

BACKGROUND: Whether there is axillary lymph node metastasis is crucial for formulating the treatment plan for breast cancer. Currently, invasive methods are still used for preoperative evaluation of lymph nodes. If non-invasive preoperative evaluation can be achieved, it will effectively improve the treatment plan.

OBJECTIVE: Constructed a predict model based on ultrasound examination, which forest axillary lymph node metastasis in breast cancer, and validated this model.

METHOD: Patients admitted to Xiamen First Hospital from April 2018 to August 2021 with complete case data were included in this study. Patients who had undergone breast cancer resection and axillary lymph node dissection or sentinel lymph node biopsy were divided into a training and validation cohort in a 7:3 ratio. In the training cohort, patients were divided into metastatic and non-metastatic groups based on whether axillary lymph nodes had metastasis. The parameters of the two groups were compared, and statistically significant parameters were included in multivariate analysis. Then, a Nomogram model was constructed, named Lymph metastasis predict model (LMPM). Calibration curves, receiver operating curve (ROC), and decision curve analysis (DCA) were plotted between the training and validation cohort, calculate the risk score of each patient, identify the optimal cutoff value, and test the predictive efficacy of LMPM.

RESULT: Two hundred seventy-three patients were enrolled in final study, the average age 49.7 ± 8.7, training cohort included 191 patients, the diameter of breast cancer, the lymph node peak systolic flow velocity (LNPS) and the cortex area hilum ratio (CH) of lymph node were exist significant difference in metastatic and non-metastatic group. Multivariate analysis showed cancer diameter, LNPS and CH included in LMPM, the cutoff value was 95, the calibration curve, ROC, DCA in training and validation cohort show satisfactory result.

CONCLUSION: The predict model-LMPM, can predict axillary lymph node metastasis in breast cancer, which is useful for developing personalized treatment plans. However, further validation of the model is required by incorporating a larger number of patients.

PMID:37723421 | DOI:10.1186/s12880-023-01090-7

Comput Biol Med. 2023 Sep 6;165:107468. doi: 10.1016/j.compbiomed.2023.107468. Online ahead of print.

ABSTRACT

OBJECTIVE: To determine the presence and potential utility of independent high-frequency activity recorded from scalp electrodes in the electroencephalogram (EEG) of newborns.

METHODS: We compare interburst intervals and continuous activity at different frequencies for EEGs retrospectively recorded at 256 Hz from 4 newborn groups: 1) 36 preterms (<32 weeks’ gestational age, GA); 2) 12 preterms (32-37 weeks’ GA); 3) 91 healthy full terms; 4) 15 full terms with hypoxic-ischemic encephalopathy (HIE). At 4 standard frequency bands (delta, 0.5-3 Hz; theta, 3-8 Hz; alpha, 8-15 Hz; beta, 15-30 Hz) and 3 higher-frequency bands (gamma1, 30-48 Hz; gamma2, 52-99 Hz; gamma3, 107-127 Hz), we compared power spectral densities (PSDs), quantitative features, and machine learning model performance. Feature selection and further machine learning methods were performed on one cohort.

RESULTS: We found significant (P < 0.01) differences in PSDs, quantitative analysis, and machine learning modelling at the higher-frequency bands. Machine learning models using only high-frequency features performed best in preterm groups 1 and 2 with a median (95% confidence interval, CI) Matthews correlation coefficient (MCC) of 0.71 (0.12-0.88) and 0.66 (0.36-0.76) respectively. Interburst interval-detector models using both high- and standard-bandwidths produced the highest median MCCs in all four groups. High-frequency features were largely independent of standard-bandwidth features, with only 11/84 (13.1%) of correlations statistically significant. Feature selection methods produced 7 to 9 high-frequency features in the top 20 feature set.

CONCLUSIONS: This is the first study to identify independent high-frequency activity in newborn EEG using in-depth quantitative analysis. Expanding the EEG bandwidths of analysis has the potential to improve both quantitative and machine-learning analysis, particularly in preterm EEG.

PMID:37722158 | DOI:10.1016/j.compbiomed.2023.107468