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Maternal Health, Neonatology and... Jul 2024Globally, perinatal mortality rates have decreased considerably in the last 30 years. However, in sub-Saharan African countries perinatal mortality remains a public...
BACKGROUND
Globally, perinatal mortality rates have decreased considerably in the last 30 years. However, in sub-Saharan African countries perinatal mortality remains a public health burden. Therefore, this study aimed to determine the Perinatal Mortality Rate and the factors associated with perinatal mortality in Beni City, Northeastern Democratic Republic of Congo.
METHODS
A hospital-based retrospective cross-sectional study was conducted among 1394 deliveries that were documented in Beni General Referral Hospital from 2 January to May 31, 2022. The study was done in the conflict-ridden Beni city of the North Kivu Province. Analysis was done using Open Epi and SPSS version 22. Binary and Multivariate logistic regression analyses were performed. Odds ratio with 95% confidence interval was used to measure strength of association.
RESULTS
Findings indicate that 60.7% of 1394 participants were below the age of 21 years, and 95.1% (1325) Beni residents. The Perinatal Mortality Rate was 42.3 per 1000 live births. Majority (51) of the postpartum women who experienced perinatal mortality didn`t have a history of perinatal mortality as compared to their counterparts. Multivariable analysis revealed that birth weight (AoR = 0.082, 95% CI 0.014-0.449, p < 0.05) and Apgar score in the 10th minute (AoR = 0.082, 95% CI 0.000- 0.043, p < 0.05) were significantly associated with Perinatal mortality.
CONCLUSION
The high perinatal mortality rate in Beni General Referral Hospital, approximately four in every 100 births remains a disturbing public health concern of which is attributable to low birth weight and Apgar score. This study may help policy-makers and healthcare providers to design preventive interventions.
PubMed: 38965609
DOI: 10.1186/s40748-024-00184-6 -
Cardiovascular Diabetology Jul 2024Associations between metabolic status and metabolic changes with the risk of cardiovascular outcomes have been reported. However, the role of genetic susceptibility... (Comparative Study)
Comparative Study
BACKGROUND
Associations between metabolic status and metabolic changes with the risk of cardiovascular outcomes have been reported. However, the role of genetic susceptibility underlying these associations remains unexplored. We aimed to examine how metabolic status, metabolic transitions, and genetic susceptibility collectively impact cardiovascular outcomes and all-cause mortality across diverse body mass index (BMI) categories.
METHODS
In our analysis of the UK Biobank, we included a total of 481,576 participants (mean age: 56.55; male: 45.9%) at baseline. Metabolically healthy (MH) status was defined by the presence of < 3 abnormal components (waist circumstance, blood pressure, blood glucose, triglycerides, and high-density lipoprotein cholesterol). Normal weight, overweight, and obesity were defined as 18.5 ≤ BMI < 25 kg/m, 25 ≤ BMI < 30 kg/m, and BMI ≥ 30 kg/m, respectively. Genetic predisposition was estimated using the polygenic risk score (PRS). Cox regressions were performed to evaluate the associations of metabolic status, metabolic transitions, and PRS with cardiovascular outcomes and all-cause mortality across BMI categories.
RESULTS
During a median follow-up of 14.38 years, 31,883 (7.3%) all-cause deaths, 8133 (1.8%) cardiovascular disease (CVD) deaths, and 67,260 (14.8%) CVD cases were documented. Among those with a high PRS, individuals classified as metabolically healthy overweight had the lowest risk of all-cause mortality (hazard ratios [HR] 0.70; 95% confidence interval [CI] 0.65, 0.76) and CVD mortality (HR 0.57; 95% CI 0.50, 0.64) compared to those who were metabolically unhealthy obesity, with the beneficial associations appearing to be greater in the moderate and low PRS groups. Individuals who were metabolically healthy normal weight had the lowest risk of CVD morbidity (HR 0.54; 95% CI 0.51, 0.57). Furthermore, the inverse associations of metabolic status and PRS with cardiovascular outcomes and all-cause mortality across BMI categories were more pronounced among individuals younger than 65 years (P < 0.05). Additionally, the combined protective effects of metabolic transitions and PRS on these outcomes among BMI categories were observed.
CONCLUSIONS
MH status and a low PRS are associated with a lower risk of adverse cardiovascular outcomes and all-cause mortality across all BMI categories. This protective effect is particularly pronounced in individuals younger than 65 years. Further research is required to confirm these findings in diverse populations and to investigate the underlying mechanisms involved.
Topics: Humans; Male; Body Mass Index; Middle Aged; Female; Cardiovascular Diseases; Risk Assessment; Prospective Studies; Cause of Death; Aged; Genetic Predisposition to Disease; Obesity; United Kingdom; Multifactorial Inheritance; Phenotype; Time Factors; Prognosis; Adult; Obesity, Metabolically Benign; Cardiometabolic Risk Factors; Risk Factors; Genetic Risk Score
PubMed: 38965592
DOI: 10.1186/s12933-024-02332-w -
Reproductive Health Jul 2024In recent decades, medical supervision of the labor and delivery process has expanded beyond its boundaries to the extent that in many settings, childbirth has become a...
BACKGROUND
In recent decades, medical supervision of the labor and delivery process has expanded beyond its boundaries to the extent that in many settings, childbirth has become a medical event. This situation has influenced midwifery care. One of the significant barriers to midwives providing care to pregnant women is the medicalization of childbirth. So far, the policies and programs of the Ministry of Health to reduce medical interventions and cesarean section rates have not been successful. Therefore, the current study aims to be conducted with the purpose of "Designing a Midwife-Led Birth Center Program Based on the MAP-IT Model".
METHODS/DESIGN
The current study is a mixed-methods sequential explanatory design by using the MAP-IT model includes 5 steps: Mobilize, Assess, Plan, Implement, and Track, providing a framework for planning and evaluating public health interventions in a community. It will be implemented in three stages: The first phase of the research will be a cross-sectional descriptive study to determine the attitudes and preferences towards establishing a midwifery-led birthing center focusing on midwives and women of childbearing age by using two researcher-made questionnaires to assess the participants' attitudes and preferences toward establishing a midwifery-led birthing center. Subsequently, extreme cases will be selected based on the participants' average attitude scores toward establishing a midwifery-led birthing center in the quantitative section. In the second stage of the study, qualitative in-depth interviews will be conducted with the identified extreme cases from the first quantitative phase and other stakeholders (the first and second steps of the MAP-IT model, namely identifying and forming a stakeholder coalition, and assessing community resources and real needs). In this stage, the conventional qualitative content analysis approach will be used. Subsequently, based on the quantitative and qualitative data obtained up to this stage, a midwifery-led birthing center program based on the third step of the MAP-IT model, namely Plan, will be developed and validated using the Delphi method.
DISCUSSION
This is the first study that uses a mixed-method approach for designing a midwife-led maternity care program based on the MAP-IT model. This study will fill the research gap in the field of improving midwife-led maternity care and designing a program based on the needs of a large group of pregnant mothers. We hope this program facilitates improved eligibility of midwifery to continue care to manage and improve their health easily and affordably.
ETHICAL CODE
IR.MUMS.NURSE.REC. 1403. 014.
Topics: Humans; Female; Birthing Centers; Midwifery; Pregnancy; Cross-Sectional Studies; Adult; Maternal Health Services; Delivery, Obstetric
PubMed: 38965578
DOI: 10.1186/s12978-024-01824-y -
Journal of Experimental & Clinical... Jul 2024Metastasis is the leading cause of mortality in patients with colorectal cancer (CRC) and angiogenesis is a crucial factor in tumor invasion and metastasis. Long...
BACKGROUND
Metastasis is the leading cause of mortality in patients with colorectal cancer (CRC) and angiogenesis is a crucial factor in tumor invasion and metastasis. Long noncoding RNAs (lncRNAs) play regulatory functions in various biological processes in tumor cells, however, the roles of lncRNAs in CRC-associated angiogenesis remain to be elucidated in CRC, as do the underlying mechanisms.
METHODS
We used bioinformatics to screen differentially expressed lncRNAs from TCGA database. LOC101928222 expression was assessed by qRT-PCR. The impact of LOC101928222 in CRC tumor development was assessed both in vitro and in vivo. The regulatory mechanisms of LOC101928222 in CRC were investigated by cellular fractionation, RNA-sequencing, mass spectrometric, RNA pull-down, RNA immunoprecipitation, RNA stability, and gene-specific m6A assays.
RESULTS
LOC101928222 expression was upregulated in CRC and was correlated with a worse outcome. Moreover, LOC101928222 was shown to promote migration, invasion, and angiogenesis in CRC. Mechanistically, LOC101928222 synergized with IGF2BP1 to stabilize HMGCS2 mRNA through an m6A-dependent pathway, leading to increased cholesterol synthesis and, ultimately, the promotion of CRC development.
CONCLUSIONS
In summary, these findings demonstrate a novel, LOC101928222-based mechanism involved in the regulation of cholesterol synthesis and the metastatic potential of CRC. The LOC101928222-HMGCS2-cholesterol synthesis pathway may be an effective target for diagnosing and managing CRC metastasis.
Topics: Colorectal Neoplasms; Humans; RNA, Long Noncoding; Neovascularization, Pathologic; Mice; Cholesterol; Animals; RNA, Messenger; Hydroxymethylglutaryl-CoA Synthase; Cell Line, Tumor; Gene Expression Regulation, Neoplastic; Male; Female; Angiogenesis
PubMed: 38965575
DOI: 10.1186/s13046-024-03095-8 -
Cardiovascular Diabetology Jul 2024Artificial sweeteners are widely popular worldwide as substitutes for sugar or caloric sweeteners, but there are still several important unknowns and controversies...
BACKGROUND
Artificial sweeteners are widely popular worldwide as substitutes for sugar or caloric sweeteners, but there are still several important unknowns and controversies regarding their associations with cardiovascular disease (CVD). We aimed to extensively assess the association and subgroup variability between artificial sweeteners and CVD and CVD mortality in the UK Biobank cohort, and further investigate the modification effects of genetic susceptibility and the mediation role of type 2 diabetes mellitus (T2DM).
METHODS
This study included 133,285 participants in the UK Biobank who were free of CVD and diabetes at recruitment. Artificial sweetener intake was obtained from repeated 24-hour diet recalls. Cox proportional hazard models were used to estimate HRs. Genetic predisposition was estimated using the polygenic risk score (PRS). Furthermore, time-dependent mediation was performed.
RESULTS
In our study, artificial sweetener intake (each teaspoon increase) was significantly associated with an increased risk of incident overall CVD (HR1.012, 95%CI: 1.008,1.017), coronary artery disease (CAD) (HR: 1.018, 95%CI: 1.001,1.035), peripheral arterial disease (PAD) (HR: 1.035, 95%CI: 1.010,1.061), and marginally significantly associated with heart failure (HF) risk (HR: 1.018, 95%CI: 0.999,1.038). In stratified analyses, non-whites were at greater risk of incident overall CVD from artificial sweetener. People with no obesity (BMI < 30 kg/m) also tended to be at greater risk of incident CVD from artificial sweetener, although the obesity interaction is not significant. Meanwhile, the CVD risk associated with artificial sweeteners is independent of genetic susceptibility, and no significant interaction exists between genetic susceptibility and artificial sweeteners in terms of either additive or multiplicative effects. Furthermore, our study revealed that the relationship between artificial sweetener intake and overall CVD is significantly mediated, in large part, by prior T2DM (proportion of indirect effect: 70.0%). In specific CVD subtypes (CAD, PAD, and HF), the proportion of indirect effects ranges from 68.2 to 79.9%.
CONCLUSIONS
Our findings suggest significant or marginally significant associations between artificial sweeteners and CVD and its subtypes (CAD, PAD, and HF). The associations are independent of genetic predisposition and are mediated primarily by T2DM. Therefore, the large-scale application of artificial sweeteners should be prudent, and the responses of individuals with different characteristics to artificial sweeteners should be better characterized to guide consumers' artificial sweeteners consumption behavior.
Topics: Humans; Cardiovascular Diseases; Male; Female; Middle Aged; United Kingdom; Risk Assessment; Diabetes Mellitus, Type 2; Aged; Incidence; Biological Specimen Banks; Time Factors; Genetic Predisposition to Disease; Adult; Risk Factors; Sweetening Agents; Prospective Studies; Prognosis; Heart Disease Risk Factors; UK Biobank
PubMed: 38965574
DOI: 10.1186/s12933-024-02333-9 -
Cardiovascular Diabetology Jul 2024The prognostic value of triglyceride-glucose (TyG) related indices in non-alcoholic fatty liver disease (NAFLD) or metabolic dysfunction-associated steatotic liver...
Association between triglyceride-glucose related indices and mortality among individuals with non-alcoholic fatty liver disease or metabolic dysfunction-associated steatotic liver disease.
BACKGROUND
The prognostic value of triglyceride-glucose (TyG) related indices in non-alcoholic fatty liver disease (NAFLD) or metabolic dysfunction-associated steatotic liver disease (MASLD) is still unclear. This study aimed to determine the associations between TyG-related indices and long-term mortality in this population.
METHODS
The data came from the National Health and Nutrition Examination Survey (NHANES III) and National Death Index (NDI). Baseline TyG, TyG combining with body mass index (TyG-BMI), and TyG combining with waist circumference (TyG-WC) indices were calculated, and mortality status was determined through 31 December 2019. Multivariate Cox and restricted cubic spline (RCS) regression models were performed to evaluate the relationship between TyG-related indices and long-term mortality among participants with NAFLD/MASLD. In addition, we examined the association between TyG-related indices and all-cause mortality within subgroups defined by age, sex, race/ethnicity, and fibrosis-4 index (FIB-4).
RESULTS
There were 10,390 participants with completed ultrasonography and laboratory data included in this study. NAFLD was diagnosed in 3672/10,390 (35.3%) participants, while MASLD in 3556/10,390 (34.2%) amongst the overall population. The multivariate Cox regression analyses showed high levels of TyG-related indices, particularly in TyG-BMI and TyG-WC indices were significantly associated with the all-cause mortality, cardiovascular mortality, and diabetes mortality in either NAFLD or MASLD. The RCS curves showed a nonlinear trend between three TyG-related indices with all-cause mortality in either NAFLD or MASLD. Subgroup analyses showed that TyG-BMI and TyG-WC indices were more suitable for predicting all-cause mortality in patients without advanced fibrosis.
CONCLUSION
Our study highlights the clinical value of TyG-related indices in predicting the survival of the NAFLD/MASLD population. TyG-BMI and TyG-WC indices would be the surrogate biomarkers for the follow-up of the population without advanced fibrosis.
Topics: Humans; Non-alcoholic Fatty Liver Disease; Male; Female; Middle Aged; Triglycerides; Risk Assessment; Nutrition Surveys; Blood Glucose; Biomarkers; Adult; Prognosis; Risk Factors; Time Factors; Aged; United States; Cause of Death; Predictive Value of Tests; Body Mass Index; Fatty Liver; Waist Circumference
PubMed: 38965572
DOI: 10.1186/s12933-024-02343-7 -
BMC Medical Informatics and Decision... Jul 2024Medication errors and associated adverse drug events (ADE) are a major cause of morbidity and mortality worldwide. In recent years, the prevention of medication errors...
BACKGROUND
Medication errors and associated adverse drug events (ADE) are a major cause of morbidity and mortality worldwide. In recent years, the prevention of medication errors has become a high priority in healthcare systems. In order to improve medication safety, computerized Clinical Decision Support Systems (CDSS) are increasingly being integrated into the medication process. Accordingly, a growing number of studies have investigated the medication safety-related effectiveness of CDSS. However, the outcome measures used are heterogeneous, leading to unclear evidence. The primary aim of this study is to summarize and categorize the outcomes used in interventional studies evaluating the effects of CDSS on medication safety in primary and long-term care.
METHODS
We systematically searched PubMed, Embase, CINAHL, and Cochrane Library for interventional studies evaluating the effects of CDSS targeting medication safety and patient-related outcomes. We extracted methodological characteristics, outcomes and empirical findings from the included studies. Outcomes were assigned to three main categories: process-related, harm-related, and cost-related. Risk of bias was assessed using the Evidence Project risk of bias tool.
RESULTS
Thirty-two studies met the inclusion criteria. Almost all studies (n = 31) used process-related outcomes, followed by harm-related outcomes (n = 11). Only three studies used cost-related outcomes. Most studies used outcomes from only one category and no study used outcomes from all three categories. The definition and operationalization of outcomes varied widely between the included studies, even within outcome categories. Overall, evidence on CDSS effectiveness was mixed. A significant intervention effect was demonstrated by nine of fifteen studies with process-related primary outcomes (60%) but only one out of five studies with harm-related primary outcomes (20%). The included studies faced a number of methodological problems that limit the comparability and generalizability of their results.
CONCLUSIONS
Evidence on the effectiveness of CDSS is currently inconclusive due in part to inconsistent outcome definitions and methodological problems in the literature. Additional high-quality studies are therefore needed to provide a comprehensive account of CDSS effectiveness. These studies should follow established methodological guidelines and recommendations and use a comprehensive set of harm-, process- and cost-related outcomes with agreed-upon and consistent definitions.
PROSPERO REGISTRATION
CRD42023464746.
Topics: Humans; Decision Support Systems, Clinical; Medication Errors; Long-Term Care; Primary Health Care; Patient Safety; Drug-Related Side Effects and Adverse Reactions; Outcome Assessment, Health Care
PubMed: 38965569
DOI: 10.1186/s12911-024-02596-y -
World Journal of Surgical Oncology Jul 2024We present an Egyptian study on pediatric ovarian immature teratomas (ITs), aiming to clarify our treatment strategy selection.
OBJECTIVES
We present an Egyptian study on pediatric ovarian immature teratomas (ITs), aiming to clarify our treatment strategy selection.
METHODS
A retrospective review of all children with pure ovarian ITs who were treated at our institution between 2008 and 2023. The analysis included clinical characteristics, tumor staging according to Children's Oncology Group (COG), grading based on the Norris system, management, and outcomes.
RESULTS
Thirty-two patients were included, with a median age of 9 years. All patients underwent primary surgery. Unilateral salpingo-oophorectomy was performed in 31 patients. Surgical staging was completed in all patients. Based on COG staging, there were 28 patients (87.5%) stage I, 1 (3%) stage II, and 3 (9.5%) stage III. According to Norris classification, 16 patients (50%) were classified as grade I, 9 (28%) grade II, and 7 (22%) grade III. All patients in stage I were treated using surgery-alone approach, whereas the remaining four (12.5%) received adjuvant chemotherapy. Five patients in stage I had gliomatosis peritonei (GP), and none of them underwent extensive surgery. At a median follow-up of 86 months, two patients had events. The first patient (stage III/grade I) developed IT relapse on the operative bed, and the second (stage I/grade I) had a metachronous IT on the contralateral ovary. Both patients were successfully managed with surgery followed by second-line chemotherapy. Five-year overall survival and event-free survival for all patients were 100% and 93.4%, respectively.
CONCLUSIONS
Surgery-alone strategy with close follow-up achieves excellent outcomes for localized ovarian ITs in children, irrespective of the Norris grading or the presence of GP. However, adjuvant chemotherapy is questionable for patients with incompletely resected or locally advanced tumors, and its role requires further evaluation through prospective multicentric studies with a larger sample size.
Topics: Humans; Female; Teratoma; Ovarian Neoplasms; Retrospective Studies; Child; Follow-Up Studies; Adolescent; Prognosis; Child, Preschool; Tertiary Care Centers; Survival Rate; Neoplasm Staging; Chemotherapy, Adjuvant; Infant; Egypt; Salpingo-oophorectomy; Disease Management
PubMed: 38965563
DOI: 10.1186/s12957-024-03452-z -
Journal of Translational Medicine Jul 2024The persistence of coronavirus disease 2019 (COVID-19)-related hospitalization severely threatens medical systems worldwide and has increased the need for reliable...
The persistence of coronavirus disease 2019 (COVID-19)-related hospitalization severely threatens medical systems worldwide and has increased the need for reliable detection of acute status and prediction of mortality. We applied a systems biology approach to discover acute-stage biomarkers that could predict mortality. A total 247 plasma samples were collected from 103 COVID-19 (52 surviving COVID-19 patients and 51 COVID-19 patients with mortality), 51 patients with other infectious diseases (IDCs) and 41 healthy controls (HCs). Paired plasma samples were obtained from survival COVID-19 patients within 1 day after hospital admission and 1-3 days before discharge. There were clear differences between COVID-19 patients and controls, as well as substantial differences between the acute and recovery phases of COVID-19. Samples from patients in the acute phase showed suppressed immunity and decreased steroid hormone biosynthesis, as well as elevated inflammation and proteasome activation. These findings were validated by enzyme-linked immunosorbent assays and metabolomic analyses in a larger cohort. Moreover, excessive proteasome activity was a prominent signature in the acute phase among patients with mortality, indicating that it may be a key cause of poor prognosis. Based on these features, we constructed a machine learning panel, including four proteins [C-reactive protein (CRP), proteasome subunit alpha type (PSMA)1, PSMA7, and proteasome subunit beta type (PSMB)1)] and one metabolite (urocortisone), to predict mortality among COVID-19 patients (area under the receiver operating characteristic curve: 0.976) on the first day of hospitalization. Our systematic analysis provides a novel method for the early prediction of mortality in hospitalized COVID-19 patients.
Topics: Humans; COVID-19; Male; Female; Proteasome Endopeptidase Complex; Middle Aged; Biomarkers; Aged; SARS-CoV-2; Prognosis; Adult; Steroids; Acute Disease; Case-Control Studies; Machine Learning
PubMed: 38965561
DOI: 10.1186/s12967-024-05342-0 -
Lipids in Health and Disease Jul 2024Conflicting results have been reported on the association between Parkinson's disease (PD) and cardiovascular disease (CVD) mortality in different populations....
BACKGROUND AND AIM
Conflicting results have been reported on the association between Parkinson's disease (PD) and cardiovascular disease (CVD) mortality in different populations. Therefore, studying the relationship between PD and CVD mortality is crucial to reduce mortality caused by the former.
METHODS
In this cohort investigation, we enrolled 28,242 participants from the National Health and Nutrition Examination Survey spanning from 2003 to 2018. The 380 cases of PD in the cohort were identified by documenting 'ANTIPARKINSON AGENTS' in their reported prescription medications. Mortality outcomes were ascertained by cross-referencing the cohort database with the National Death Index, which was last updated on 31 December 2019. Cardiovascular disease mortality was categorised according to the 10th revision of the International Classification of Diseases by using a spectrum of diagnostic codes. Weighted multivariable Cox regression analysis was used to examine the association between PD and the risk of CVD mortality.
RESULTS
A total of 28,242 adults were included in the study [mean age, 60.156 (12.55) years, 13,766 men (48.74%)], and the median follow-up period was 89 months. Individuals with PD had an adjusted HR of 1.82 (95% CI, 1.24-2.69; p = 0.002) for CVD mortality and 1.84 (95% CI, 1.44-2.33; p < 0.001) for all-cause mortality compared with those without PD. The association between PD and CVD mortality was robust in sensitivity analyses, after excluding participants who died within 2 years of follow-up and those with a history of cancer at baseline [HR,1.82 (95% CI, 1.20-2.75; p = 0.005)].
CONCLUSIONS
PD was associated with a high long-term CVD mortality rate in the US population.
Topics: Humans; Parkinson Disease; Male; Female; Cardiovascular Diseases; Middle Aged; Nutrition Surveys; Aged; Prospective Studies; Risk Factors; Proportional Hazards Models
PubMed: 38965560
DOI: 10.1186/s12944-024-02200-2