Nevin Manimala

Arch Public Health. 2022 Sep 21;80(1):212. doi: 10.1186/s13690-022-00966-4.

ABSTRACT

BACKGROUND: We aimed to investigate the overall secondary attack rates (SAR) of COVID-19 in student residences and to identify risk factors for higher transmission.

METHODS: We retrospectively analysed the SAR in living units of student residences which were screened in Leuven (Belgium) following the detection of a COVID-19 case. Students were followed up in the framework of a routine testing and tracing follow-up system. We considered residence outbreaks followed up between October 30th 2020 and May 25th 2021. We used generalized estimating equations (GEE) to evaluate the impact of delay to follow-up, shared kitchen or sanitary facilities, the presence of a known external infection source and the recent occurrence of a social gathering. We used a generalized linear mixed model (GLMM) for validation.

RESULTS: We included 165 student residences, representing 200 residence units (N screened residents = 2324). Secondary transmission occurred in 68 units which corresponded to 176 secondary cases. The overall observed SAR was 8.2%. In the GEE model, shared sanitary facilities (p = 0.04) and the recent occurrence of a social gathering (p = 0.003) were associated with a significant increase in SAR in a living unit, which was estimated at 3% (95%CI 1.5-5.2) in the absence of any risk factor and 13% (95%CI 11.4-15.8) in the presence of both. The GLMM confirmed these findings.

CONCLUSIONS: Shared sanitary facilities and the occurrence of social gatherings increase the risk of COVID-19 transmission and should be considered when screening and implementing preventive measures.

PMID:36131328 | DOI:10.1186/s13690-022-00966-4

Mil Med Res. 2022 Sep 22;9(1):51. doi: 10.1186/s40779-022-00409-9.

ABSTRACT

BACKGROUND: Tumor cell heterogeneity mediated drug resistance has been recognized as the stumbling block of cancer treatment. Elucidating the cytotoxicity of anticancer drugs at single-cell level in a high-throughput way is thus of great value for developing precision therapy. However, current techniques suffer from limitations in dynamically characterizing the responses of thousands of single cells or cell clones presented to multiple drug conditions.

METHODS: We developed a new microfluidics-based “SMART” platform that is Simple to operate, able to generate a Massive single-cell array and Multiplex drug concentrations, capable of keeping cells Alive, Retainable and Trackable in the microchambers. These features are achieved by integrating a Microfluidic chamber Array (4320 units) and a six-Concentration gradient generator (MAC), which enables highly efficient analysis of leukemia drug effects on single cells and cell clones in a high-throughput way.

RESULTS: A simple procedure produces 6 on-chip drug gradients to treat more than 3000 single cells or single-cell derived clones and thus allows an efficient and precise analysis of cell heterogeneity. The statistic results reveal that Imatinib (Ima) and Resveratrol (Res) combination treatment on single cells or clones is much more efficient than Ima or Res single drug treatment, indicated by the markedly reduced half maximal inhibitory concentration (IC₅₀). Additionally, single-cell derived clones demonstrate a higher IC₅₀ in each drug treatment compared to single cells. Moreover, primary cells isolated from two leukemia patients are also found with apparent heterogeneity upon drug treatment on MAC.

CONCLUSION: This microfluidics-based “SMART” platform allows high-throughput single-cell capture and culture, dynamic drug-gradient treatment and cell response monitoring, which represents a new approach to efficiently investigate anticancer drug effects and should benefit drug discovery for leukemia and other cancers.

PMID:36131323 | DOI:10.1186/s40779-022-00409-9

Syst Rev. 2022 Sep 21;11(1):202. doi: 10.1186/s13643-022-02075-3.

ABSTRACT

PURPOSE: To provide a systematic overview of preclinical research regarding bone defect formation around different implant surfaces after ligature-induced peri-implantitis models in dogs. Two focused questions were formulated: ‘How much bone loss can be expected after a certain time of ligature induced peri-implantitis?’ and ‘Do different implant types, dog breeds and study protocols differ in their extent of bone loss?’

MATERIALS AND METHODS: A systematic literature search was conducted on four databases (MEDLINE, Web of Science, EMBASE and Scopus). Observations, which consisted of bone defects measured directly after ligature removal in canine models, were included and analysed. Two approaches were used to analyse the relatively heterogeneous studies that fulfilled the inclusion criteria. First, separate simple linear regressions were calculated for each study and implant surface, for which observations were available across multiple time points. Second, a linear mixed model was specified for the observations at 12 weeks after ligature initiation, and assessing the potential influencing factors on defect depth was explored using lasso regularisation.

RESULTS: Thirty-six studies with a total of 1082 implants were included after. Bone loss was determined at different time points, either with clinical measurements radiographically or histologically. Different implant groups [e.g. turned, sand-blasted-acid-etched (SLA), titanium-plasma-sprayed (TPS) and other rough surfaces] were assessed and described in the studies. A mean incremental defect depth increase of 0.08 mm (SD: -0.01-0.28 mm) per week was observed. After 12 weeks, the defect depths ranged between 0.7 and 5 mm. Based on the current data set, implant surface could not be statistically identified as an essential factor in defect depth after 12 weeks of ligature-induced peri-implantitis.

CONCLUSION: Expectable defect depth after a specific time of ligature-induced peri-implantitis can vary robustly. It is currently impossible to delineate apparent differences in bone loss around different implant surfaces.

PMID:36131319 | DOI:10.1186/s13643-022-02075-3

BMC Nurs. 2022 Sep 21;21(1):258. doi: 10.1186/s12912-022-01041-7.

ABSTRACT

BACKGROUND: There is a high mortality of burns especially in low- and middle-income countries which already have less developed healthcare systems. Besides, little is known about nursing students’ knowledge and practices towards the need to monitor fluid requirements in admitted burns patients.

OBJECTIVE: To assess the knowledge and practices of nursing students regarding monitoring fluid requirements for hospitalised paediatrics and adult burn patients on the surgical ward at Mbarara regional referral hospital.

METHODS: We conducted an online descriptive cross-sectional study among clinical nursing students at Mbarara University of Science and Technology (MUST) during September and November 2021. We assessed knowledge and practices using an adapted questionnaire. Summary statistics were then used to describe the data.

RESULTS: Thirty-seven nursing students (64.9% response rate) participated in our survey. Twenty one (56.8%) were female and had a modal age range of 20-24 years. Nineteen (51.4%) of the students were BNC (Bachelor of Nursing Completion) students, with the rest being BNS (Bachelor of Nursing). More than 75% of students correctly answered each of two out of the ten questions. More than three quarters of the students reported having done each of six out of the eleven practices surveyed.

CONCLUSION: Nursing students had poor knowledge and fair satisfactory practices regarding monitoring of the fluid requirements in burns patients. More similar studies are needed to survey more nursing students on this topic and to henceforth evaluate the need for periodic re-trainings and reassessment of clinical skills of nursing students.

PMID:36131310 | DOI:10.1186/s12912-022-01041-7

BMC Health Serv Res. 2022 Sep 22;22(1):1186. doi: 10.1186/s12913-022-08542-w.

ABSTRACT

BACKGROUND: Advance care planning (ACP) involves discussions about patient and families’ wishes and preferences for future healthcare respecting autonomy, improving quality of care, and reducing overtreatment. The Medical Orders for Scope of Treatment (MOST) form records person preferred level and types of treatment and intervention.

PURPOSE: To examine the MOST form use in inpatient units within a British Columbia (Canada) hospital, estimate and compare its completion rate, and inform health policies for continuous, quality and individualized patient care.

METHODS: About 5,000 patients admitted to the participating tertiary acute care hospital during October 2020. Data from 780 eligible participants in medical, surgical, or psychiatry unit were analyzed with descriptive statistics, the chi-square test for group comparisons, and logistic regression to assess predictors of the MOST form completion.

RESULTS: Participants’ (54% men) age ranged from 20-97 years (mean = 59.53, SD = 19.54). Mainly physicians (99.1%) completed the MOST form for about 60% of them. A statistically significant difference of MOST completion found among the units [Pearson χ²_{(df=2, n=780)} = 79.53, p < .001, φ = .319]. Multivariate logistic regression analysis demonstrated that age (OR = 1.05, 95% CI 1.04 to 1.06) and unit admission (OR = .60, 95% CI 0.36 to 0.99 in psychiatry; and OR = .21, 95% CI 0.14 to 0.31 in surgery) were independently associated with the MOST form completion.

CONCLUSION: Our findings demonstrate a need for consistent and broad completion of the MOST form across all jurisdictions using, desirably, advanced electronic systems. Healthcare providers need to raise awareness of the MOST completion benefits and be prepared to discuss topics relevant to end-of-life. Further research is required on the MOST form completion.

PMID:36131303 | DOI:10.1186/s12913-022-08542-w

Trials. 2022 Sep 21;23(1):794. doi: 10.1186/s13063-022-06712-z.

ABSTRACT

BACKGROUND: Participant information sheets and consent forms (PICFs) used in interventional studies are often criticised for being hard to read and understand. We assessed the readability and its correlates of a broad range of Australian PICFs.

METHODS: We analysed the participant information sheet portion of 248 PICFs. Readability scores were measured using three formulae: the Flesch Reading Ease, the Flesch-Kincaid Grade Level, and the Simple Measure of Gobbledygook (SMOG). We investigated how various features (including sponsor type and PICF type) correlated with PICF length and readability and examined compliance with other measures known to improve readability.

RESULTS: For a sample of 248 PICFs, the mean (standard deviation) Flesch Reading Ease score was 49.3 (5.7) and for the Flesch-Kincaid Grade Level 11.4 (1.1). The mean (SD) SMOG score was 13.2 (0.9). The median document length was 3848 words (8 pages). Commercial PICFs were more than twice as long as non-commercial, but statistically more readable (p = 0.03) when analysed using the SMOG formula. Subgroup analyses indicated that PICFs for self-consenters were statistically more readable than those for proxy consenters. The use of tables, but not the use of illustrations was associated with better readability scores.

CONCLUSIONS: The PICFs in our sample are long and complex, and only 3 of the 248 achieved the recommended readability score of grade 8 or below. The broader use of best practice principles for writing health information for consumers and the development of more context-sensitive templates could improve their utility.

PMID:36131293 | DOI:10.1186/s13063-022-06712-z

Mol Cancer. 2022 Sep 22;21(1):183. doi: 10.1186/s12943-022-01644-3.

ABSTRACT

BACKGROUND: Up to 80% of cases of prostate cancer present with multifocal independent tumour lesions leading to the concept of a field effect present in the normal prostate predisposing to cancer development. In the present study we applied Whole Genome DNA Sequencing (WGS) to a group of morphologically normal tissue (n = 51), including benign prostatic hyperplasia (BPH) and non-BPH samples, from men with and men without prostate cancer. We assess whether the observed genetic changes in morphologically normal tissue are linked to the development of cancer in the prostate.

RESULTS: Single nucleotide variants (P = 7.0 × 10^-03, Wilcoxon rank sum test) and small insertions and deletions (indels, P = 8.7 × 10^-06) were significantly higher in morphologically normal samples, including BPH, from men with prostate cancer compared to those without. The presence of subclonal expansions under selective pressure, supported by a high level of mutations, were significantly associated with samples from men with prostate cancer (P = 0.035, Fisher exact test). The clonal cell fraction of normal clones was always higher than the proportion of the prostate estimated as epithelial (P = 5.94 × 10^-05, paired Wilcoxon signed rank test) which, along with analysis of primary fibroblasts prepared from BPH specimens, suggests a stromal origin. Constructed phylogenies revealed lineages associated with benign tissue that were completely distinct from adjacent tumour clones, but a common lineage between BPH and non-BPH morphologically normal tissues was often observed. Compared to tumours, normal samples have significantly less single nucleotide variants (P = 3.72 × 10^-09, paired Wilcoxon signed rank test), have very few rearrangements and a complete lack of copy number alterations.

CONCLUSIONS: Cells within regions of morphologically normal tissue (both BPH and non-BPH) can expand under selective pressure by mechanisms that are distinct from those occurring in adjacent cancer, but that are allied to the presence of cancer. Expansions, which are probably stromal in origin, are characterised by lack of recurrent driver mutations, by almost complete absence of structural variants/copy number alterations, and mutational processes similar to malignant tissue. Our findings have implications for treatment (focal therapy) and early detection approaches.

PMID:36131292 | DOI:10.1186/s12943-022-01644-3

BMC Health Serv Res. 2022 Sep 21;22(1):1184. doi: 10.1186/s12913-022-08573-3.

ABSTRACT

INTRODUCTION: Prevalence of cancer patients is dramatically increasing. We aimed at quantifying the oncology workload generated by each new cancer patient in the two years following first consultation.

METHODS: In this record-based retrospective study, we retrieved data of all newly diagnosed patients treated at the Oncology Department of Udine Academic Hospital between 01.01.2012 and 31.12.2017. We calculated mean number and standard deviation of the activity type generated by each new cancer patient during the following 2 years.

RESULTS: Seven thousand four hundred fifty-two cancer patients generated a total of 85,338 clinical episodes. The two-years mean number of oncology episodes generated was 11.31 (i.e., for every 1,000 new cancer patients, 11,310 oncology activities are generated overall in the following two-year lapse). Patients with advanced disease generated the highest workload (24.3; SD 18.8) with a statistically significant difference compared to adjuvant and follow-up patients (p < 0.001). The workload generated in the period 0-6 and 0-12 months was significantly higher than in the following months (p < 0.001) and it was also higher for patients initially designated to treatment (p < 0.001).

CONCLUSION: This is the first study reporting on the mean oncology workload generated during the 2 years following first consultation. Workload is the highest for patient with advanced disease, especially in the first months and in patients in active treatment. A detailed analysis of workloads in oncology is feasible and could be crucial for planning a sustainable framework for cancer care in the next future.

PMID:36131286 | DOI:10.1186/s12913-022-08573-3

BMC Med Inform Decis Mak. 2022 Sep 21;22(1):246. doi: 10.1186/s12911-022-01983-7.

ABSTRACT

BACKGROUND: Optimal COVID-19 management is still undefined. In this complicated scenario, the construction of a computational model capable of extracting information from electronic medical records, correlating signs, symptoms and medical prescriptions, could improve patient management/prognosis.

METHODS: The aim of this study is to investigate the correlation between drug prescriptions and outcome in patients with COVID-19. We extracted data from 3674 medical records of hospitalized patients: drug prescriptions, outcome, and demographics. The outcome evaluated was hospital outcome. We applied correlation analysis using a Logistic Regression algorithm for machine learning with Lasso and Matthews correlation coefficient.

RESULTS: We found correlations between drugs and patient outcomes (death/discharged alive). Anticoagulants, used very frequently during all phases of the disease, were associated with good prognosis only after the first week of symptoms. Antibiotics very frequently prescribed, especially early, were not correlated with outcome, suggesting that bacterial infections may not be important in determining prognosis. There were no differences between age groups.

CONCLUSIONS: In conclusion, we achieved an important result in the area of Artificial Intelligence, as we were able to establish a correlation between concrete variables in a real and extremely complex environment of clinical data from COVID-19. Our results are an initial and promising contribution in decision-making and real-time environments to support resource management and forecasting prognosis of patients with COVID-19.

PMID:36131274 | DOI:10.1186/s12911-022-01983-7

BMC Public Health. 2022 Sep 21;22(1):1790. doi: 10.1186/s12889-022-14161-1.

ABSTRACT

BACKGROUND: Sufficient sleep is important to an individual’s health and well-being, but also for school achievement among adolescents. This study investigates the associations between sleepiness, sleep deficits, and school achievements among adolescents.

METHODS: This trend study involved a representative sample of Norwegian adolescents based on the “Trends in International Mathematics and Science Study” (TIMSS), N = 4499 (2015) and N = 4685 (2019) and their teachers. The students were 9th graders from a Norwegian compulsory secondary school. The survey included questions on students’ sleepiness as students reported in 2019 and sleep deficits among students that limited teaching in class as their teachers reported in 2015 and 2019. Regression, triangulation, and mediation analyses were used. Mplus was used to perform the statistical analyses.

RESULTS: The results revealed significant negative associations between sleep deficits and school achievements, adjusted for gender, socioeconomic status (SES), and minority status among Norwegian 9th graders. These results were found for both mathematics and science achievements in 2015 and 2019. Sleepiness that the students reported was negatively associated with school achievements in 2019. Trend and mediation analyses showed that sleep deficits explained 18 and 11% of the decrease in mathematics and science achievements, respectively, from 2015 to 2019.

CONCLUSIONS: Sleep deficits were associated with school achievements in mathematics and science among Norwegian 9th graders. Mediation analyses revealed that sleep deficits explained a significant part of the decline in academic achievements. Insufficient sleep may have negative public health implications and influence adolescents’ academic achievements and competences, and should therefore be discussed in both the educational and health systems.

PMID:36131267 | DOI:10.1186/s12889-022-14161-1