Category: Nevin Manimala

BMC Geriatr. 2023 May 31;23(1):341. doi: 10.1186/s12877-023-04077-9.

ABSTRACT

BACKGROUND: Under the state of emergency, it has been reported that the amount of physical activity among community-dwelling older adults has decreased significantly due to refraining from going out, and there are strong concerns about the Geriatric Locomotive Function Scale and deterioration of mental health. Therefore, this study aimed to investigate whether the depressive state before the coronavirus disease 2019 (COVID-19) pandemic affected the 25-Geriatric Locomotive (GLFS) score during the COVID-19 pandemic among community-dwelling older adults.

METHODS: The participants were 194 community-dwelling older adults (45 men, 149 women) with an average age of 75.5 ± 5.5 years who responded to a self-administered survey conducted three times (preliminary, second, and third) from before the 2018 COVID-19 pandemic to March 2021. Individuals with a score of ≥ 10 on the Geriatric Depression Scale 15 (GDS 15) were excluded. The survey items included the 25-question Geriatric Locomotive Function Scale (GLFS25), GDS 15, and other basic attributes. Those with scores of 5 to 9 on the GDS 15 and those with scores of 0 to 4 were assigned to the depressive symptoms (DS) group and the non-DS group, respectively. Statistical analysis was performed using two-way analysis of variance. The Mann-Whitney U test was used for comparisons between the groups.

RESULTS: In total, 187 patients were included in the analysis, excluding 7 patients. GLFS 25 showed a significant increase in scores at the second and third time points compared with baseline, and a main effect was confirmed in both groups, with no interaction effect. The second time, the score was 10.0 ± 8.5 and 13.7 ± 10.5 in the non-DS and DS groups, respectively. The third time, the non-DS and DS groups scored 10.8 ± 10.5 and 14.9 ± 10.1 points, respectively, indicating a significant difference.

CONCLUSIONS: Our results revealed that the increase in the GLFS 25 score in community-dwelling older adults during the COVID-19 pandemic was related to their DS during normal times before the pandemic. Evaluating such individuals and providing social support may effectively reduce the deterioration of the GLFS 25 score.

PMID:37259068 | DOI:10.1186/s12877-023-04077-9

BMC Infect Dis. 2023 May 31;23(1):366. doi: 10.1186/s12879-023-08343-4.

ABSTRACT

BACKGROUND: Hepatitis B (HB) is a virus which causes a potentially fatal liver infection. It is a DNA virus belonging to the Hepadnaviridae virus family. Africa, after Asia, has the second highest number of chronic HBV carriers and is considered a high-endemic region. Ethiopia is classified as a country with a high prevalence of viral hepatitis and with nations that lack a systematic strategy for viral hepatitis surveillance.

METHODS: S-I-C-R deterministic model was developed and the numerical simulations were done in “R” statistical and programming software. Fixed population assumption was considered so as to develop a simple model which could predict the HBV vertical transmission for the next 5 decades.

RESULTS: The model revealed that significant number of populations will be infected and become carrier till the end the next 49 years even though it has decreasing trend. It was predicted that 271,719 people will die of HBV complications if no intervention will be made on its vertical transmission. The sensitivity analysis result showed that the force of infection has the most important parameter in the vertical transmission dynamics of hepatitis B. Provision of hepatitis B immunoglobulin (HBVIG) and vaccines at the time of delivery could decrease the force of infection by more than half and 51,892 lives will be saved if the intervention is offered for 50% of deliveries in Ethiopia.

CONCLUSION: Despite the fact that the incidence of HBV vertical transmission is substantial, it is expected to decline during the next five decades. However, the situation necessitates immediate attention, since it results in thousands of deaths if no action is taken. Offering HBVIG and vaccinations to the 50% of infants can save many lives and reduces the force of infection by more than a half.

PMID:37259048 | DOI:10.1186/s12879-023-08343-4

BMC Public Health. 2023 Jun 1;23(1):1039. doi: 10.1186/s12889-023-15835-0.

ABSTRACT

BACKGROUND: Mathematical models to forecast the risk trend of the COVID-19 pandemic timely are of great significance to control the pandemic, but the requirement of manual operation and many parameters hinders their efficiency and value for application. This study aimed to establish a convenient and prompt one for monitoring emerging infectious diseases online and achieving risk assessment in real time.

METHODS: The Optimized Moving Average Prediction Limit (Op-MAPL) algorithm model analysed real-time COVID-19 data online and was validated using the data of the Delta variant in India and the Omicron in the United States. Then, the model was utilized to determine the infection risk level of the Omicron in Shanghai and Beijing.

RESULTS: The Op-MAPL model can predict the epidemic peak accurately. The daily risk ranking was stable and predictive, with an average accuracy of 87.85% within next 7 days. Early warning signals were issued for Shanghai and Beijing on February 28 and April 23, 2022, respectively. The two cities were rated as medium-high risk or above from March 27 to April 20 and from April 24 to May 5, indicating that the pandemic had entered a period of rapid increase. After April 21 and May 26, the risk level was downgraded to medium and became stable by the algorithm, indicating that the pandemic had been controlled well and mitigated gradually.

CONCLUSIONS: The Op-MAPL relies on nothing but an indicator to assess the risk level of the COVID-19 pandemic with different data sources and granularities. This forward-looking method realizes real-time monitoring and early warning effectively to provide a valuable reference to prevent and control infectious diseases.

PMID:37259046 | DOI:10.1186/s12889-023-15835-0

BMC Med Res Methodol. 2023 May 31;23(1):133. doi: 10.1186/s12874-023-01955-z.

ABSTRACT

OBJECTIVE: PONV reduces patient satisfaction and increases hospital costs as patients remain in the hospital for longer durations. In this study, we build a preliminary artificial intelligence algorithm model to predict early PONV in patients.

METHODS: We use R for statistical analysis and Python for the machine learning prediction model.

RESULTS: Average characteristic engineering results showed that haloperidol, sex, age, history of smoking, and history of PONV were the first 5 contributing factors in the occurrence of early PONV. Test group results for artificial intelligence prediction of early PONV: in terms of accuracy, the four best algorithms were CNNRNN (0.872), Decision Tree (0.868), SVC (0.866) and adab (0.865); in terms of precision, the three best algorithms were CNNRNN (1.000), adab (0.400) and adab (0.868); in terms of AUC, the top three algorithms were Logistic Regression (0.732), SVC (0.731) and adab (0.722). Finally, we built a website to predict early PONV online using the Streamlit app on the following website: ( https://zhouchengmao-streamlit-app-lsvc-ad-st-app-lsvc-adab-ponv-m9ynsb.streamlit.app/ ).

CONCLUSION: Artificial intelligence algorithms can predict early PONV, whereas logistic regression, SVC and adab were the top three artificial intelligence algorithms in overall performance. Haloperidol, sex, age, smoking history, and PONV history were the first 5 contributing factors associated with early PONV.

PMID:37259031 | DOI:10.1186/s12874-023-01955-z

BMC Emerg Med. 2023 Jun 1;23(1):61. doi: 10.1186/s12873-023-00831-9.

ABSTRACT

BACKGROUND: Injury data play a pivotal role in monitoring public health issues and Injury Surveillance Information Systems (ISIS) are useful for continuous data collection and analysis purposes. Since emergency department (ED) is usually the first place of referral for the injured people, the aim of this study was to develop a conceptual model for an ED-based ISIS.

METHODS: This study was completed in 2020 and the Delphi technique (three rounds) was used to determine the main components of an ED-based ISIS. The participants were selected using the purposive sampling method. A 5-point Likert scale questionnaire was used for data collection and data were analyzed using descriptive statistics.

RESULTS: In the first, second, and third rounds of the Delphi study, 60, 44, and 28 experts participated, respectively. In the first and second rounds, most of the items including the personal data, clinical data, data sources, and system functions were found important. In the third round of the Delphi study, 13 items which did not reach a consensus in the previous rounds were questioned again and five items were removed from the final model.

CONCLUSION: According to the findings, various data elements and functions could be considered for designing an ED-based ISIS and a number of data sources should be taken into count to be integrated with this system. Although the conceptual model presented in the present study can facilitate designing the actual system, the final system needs to be implemented and used in practice to determine how it can meet users’ requirements.

PMID:37259025 | DOI:10.1186/s12873-023-00831-9

BMC Anesthesiol. 2023 May 31;23(1):188. doi: 10.1186/s12871-023-02151-8.

ABSTRACT

BACKGROUND: By continually monitoring end-tidal carbon dioxide concentrations, capnography can detect abnormal ventilation or apnoea early. This randomized, controlled study explored the effect of early intervention with capnography on the incidence of hypoxia in mildly obese patients undergoing sedation for esophagogastroduodenoscopy (EGD) and colonoscopy.

METHODS: This is a single-center, randomized, single-blind, parallel-assignment, controlled trial. Mildly obese patients (28 kg/m² ≤ BMI < 40 kg/m²) undergoing sedation for EGD and colonoscopy were randomly assigned to either the standard or capnography group. Standard cardiopulmonary monitoring equipment was used in both groups, and additional capnography was performed in the capnography group. In the event of inadequate alveolar ventilation during sedation, five interventions were administered in sequence (a-e) : a: increasing oxygen flow (5 L/min); b: a chin lift or jaw thrust maneuver; c: placement of the nasopharyngeal airway and chin lift; d: mask positive-pressure ventilation, and e: ventilator-assisted ventilation with tube insertion. The primary outcome was the incidence of hypoxia (SpO₂ < 90%, ≥ 10 s) in each group. The secondary outcomes included the incidence of severe hypoxia (SpO₂ ≤ 85%), subclinical respiratory depression (90% ≤ SpO₂ < 95%), interventions, minimum SpO₂ during operation, patient satisfaction, endoscopist satisfaction, and other adverse events of anesthesia sedation.

RESULTS: 228 patients were included (capnography group = 112; standard group = 113; three patients were excluded) in this study. The incidence of hypoxia was significantly lower in the capnography group than in the standard group (13.4% vs. 30.1%, P = 0.002). Subclinical respiratory depression in the capnography group was higher than that of the standard group (30.4% vs. 17.7%, P = 0.026). There was only a 5.4% incidence of severe hypoxia in the capnography group compared with 14.2% in the standard group (P = 0.026). During sedation, 96 and 34 individuals in the capnography and standard groups, respectively, underwent the intervention. There was a statistically significant difference (P < 0.0001) in the number of the last intraoperative intervention between the two groups ( a:47 vs. 1, b:46 vs. 26, c:2 vs. 5, d:1 vs. 2, e:0 vs. 0 ). No significant differences were found between the two groups in terms of minimum SpO₂ during operation, patient satisfaction, or endoscopist satisfaction rating. There was no statistically significant difference in adverse events of anesthesia sedation between the two groups.

CONCLUSION: Capnography during sedation for EGD and colonoscopy allows for the detection of apnea and altered breathing patterns in mildly obese patients before SpO₂ is reduced. Effective intervention measures are given to patients within this time frame, which reduces the incidence of hypoxia and severe hypoxia in patients.

TRIAL REGISTRATION: Ethical approval was granted by the Medical Ethics Committee (Chairperson Professor Tian Hui) of Qilu Hospital, Shandong University ((Ke) Lun Audit 2021 (186)) on 15/07/2021. The study was registered ( https://www.chictr.org.cn ) on 23/10/2021(ChiCTR2100052234). Designed and reported using CONSORT statements.

PMID:37259022 | DOI:10.1186/s12871-023-02151-8

J Gastrointest Surg. 2023 May 31. doi: 10.1007/s11605-023-05718-5. Online ahead of print.

ABSTRACT

BACKGROUND: Malrotation in children presents with bilious emesis and can be life threatening. Data on adults is lacking.

METHODS: Single institution, retrospective 20-year data collection on adult (>18 years) and adolescent patients (12-18) with symptomatic malrotation. We evaluated demographics, surgical approach, hospital stay, time to feed, and type of surgeon with descriptive statistics to analyze each group.

RESULTS: Adult (n=17) and adolescent patients (n=8) primarily presented with acute abdominal pain (82% adult, 100% adolescent), and non-bilious emesis (0%), and had elective repair. CT scan was diagnostic for 82% adults and 71% adolescents. Overall, 88% had improvement in symptoms.

CONCLUSION: In this single institution series comparing adults and adolescent patients with malrotation, 88% have resolution of pain after repair, despite atypical presentations. CT scan is diagnostic and laparoscopic approach should be considered.

PMID:37259017 | DOI:10.1007/s11605-023-05718-5

J Racial Ethn Health Disparities. 2023 May 31. doi: 10.1007/s40615-023-01638-x. Online ahead of print.

ABSTRACT

BACKGROUND: While previous studies have identified a range of factors associated with mask wearing in the US, little is known about drivers of mask-wearing among racial and ethnic minority groups. This analysis assessed whether factors positively associated with wearing a mask early in the pandemic differed between participants grouped by race/ethnicity (Hispanic, non-Hispanic Black, non-Hispanic Asian, and non-Hispanic White).

METHOD: Data were obtained from a US internet panel survey of 3217 respondents during May-November 2020 (weighted by race/ethnicity, age, gender, and education to the US national population). Within each of the four available racial/ethnic groups, crude and adjusted odds ratios (COR and AOR) were calculated using logistic regression to assess factors positively associated with wearing a mask. Adjusted models were controlled for age, gender, education, county COVID-19 case count, presence of a state-issued mask mandate, and interview month.

RESULTS: The following variables were most strongly positively associated with mask wearing (p<0.05) in each racial/ethnic group: Hispanic-seeing others wearing masks (AOR: 6.7), importance of wearing a mask combined with social distancing (AOR: 3.0); non-Hispanic Black-belief that wearing a mask would protect others from coronavirus (AOR: 5.1), reporting hearing that one should wear a mask (AOR: 3.6); non-Hispanic Asian-belief that people important to them believe they should wear a mask (COR: 5.1, not statistically significant); and non-Hispanic White-seeing others wearing masks (AOR: 3.1), importance of wearing a mask (AOR: 2.3).

CONCLUSION: Public health efforts to encourage mask wearing should consider the diversity of behavioral influences within different population groups.

PMID:37258995 | DOI:10.1007/s40615-023-01638-x

Methods Mol Biol. 2023;2674:87-99. doi: 10.1007/978-1-0716-3243-7_6.

ABSTRACT

The development of high-throughput sequencing technology has led to a significant reduction in the time and cost of sequencing whole genomes of bacterial pathogens. Studies can sequence and compare hundreds or even thousands of genomes within a given bacterial population. A phylogenetic tree is the most frequently used method of depicting the relationships between these bacterial pathogen genomes. However, the presence of homologous recombination in most bacterial pathogen species can invalidate the application of standard phylogenetic tools. Here we describe a method to produce phylogenetic analyses that accounts for the disruptive effect of recombination. This allows users to investigate the recombination events that have occurred, as well as to produce more meaningful phylogenetic analyses which recover the clonal genealogy representing the clonal relationships between genomes.

PMID:37258962 | DOI:10.1007/978-1-0716-3243-7_6

Arch Gerontol Geriatr. 2023 May 23;114:105068. doi: 10.1016/j.archger.2023.105068. Online ahead of print.

ABSTRACT

This systematic review and meta-analysis explored the effects of structured exercise regimens on brain-derived neurotrophic factor (BDNF) levels, a proxy for cognitive function, in older women. In this study, we collated evidence from the available clinical trials that reported BDNF levels and other outcomes following structured exercise regimens. Adhering to PRISMA Statement 2020 guidelines. PubMed/MEDLINE, Scopus, CINAHL Plus, and Cochrane were systematically searched using a combination of the following keywords: brain-derived neurotrophic factor, women, exercise, older, cognition, and/or cognitive. A random-effects model was applied; the statistical analysis was conducted in RevMan 5.4 (Cochrane). The risk of bias in the included trials was assessed using the Risk of Bias in Non-Randomized Studies of Interventions (ROBINS-I) tool. Across 12 trials, 994 older women were included that were enrolled in different exercise regimens globally. Exercise regimens were categorized as aerobic, resistance/power training, aquatic, taekwondo, and multimodal and ranging from 30 to 60 min, 1-5 times per week across 5-24 weeks. Moderate improvement (Cohen’s d: 0.44, 95% CI: 0.04-0.84, p = 0.03) was found in BDNF levels across all trials. There was a small yet insignificant improvement in mini-mental state examination (MMSE) scores (Cohen’s d: 0.17, 95% CI: -0.79-1.13, p = 0.73). Aerobic exercise, aquatic exercise, and multimodal regimens showed significant association with improved BDNF levels but the sample size for individual exercise regimens was small A main limitation was the inclusion of 114 (10.3%) males in the data, introducing gender bias. This study provides novel insight into the association between various exercise regimens and BDNF levels among older women.

PMID:37257214 | DOI:10.1016/j.archger.2023.105068