Development and validation of a predictive model of exclusive breastfeeding at hospital discharge: Retrospective cohort study

Preparation and validation of a predictive model of breastfeeding initiation in the first hour of life

OBJECTIVE

The objective was to develop and validate a predictive model of initiation of breastfeeding in the first hour after delivery.

METHODS

Retrospective cohort study on women who gave birth between 2013 and 2018 in Spain. For data collection, an ad hoc questionnaire was designed to be filled in by the mothers, which was distributed to the different Spanish breastfeeding associations which, in turn, shared it with their associate partners. The development of the predictive model was made on a cohort of 3218 women (2/3) and was validated on a cohort of 1609 women (1/3). Mothers whose children were admitted to hospital at the time of birth were excluded. A multivariate analysis was performed by means of logistic regression, and predictive ability was determined by areas under the ROC curve (AUC).

RESULTS

81.0 % (2608) women started breastfeeding in the first hour in the derivation cohort, and 80.1 % (1289) in the validation cohort. The predictive factors in the final model were: the highest number of children and skin-to-skin contact at birth as flattering factors, while dystocic delivery reduced the likelihood of the onset of breastfeeding. The predictive ability (ROC AUC) in the derivation cohort was 0.89 (CI 95 %: 0.87-0.90), while in the validation cohort it was 0.89 (CI 95 %: 0.87-0.92).

CONCLUSIONS

This three-variable predictive model has excellent predictive ability in both the derivation cohort and the validation cohort. This model can identify women who are at high risk of non-initiating breastfeeding within the first hour after delivery.

Effect of mode of delivery on postpartum weight retention: A systematic review and meta-analysis

OBJECTIVE

Retention of weight gained over pregnancy increases the risk of long-term obesity and related health concerns. While many risk factors for this postpartum weight retention have been examined, the role of mode of delivery in this relationship remains controversial. We carried out a systematic review and meta-analysis to determine the effect of mode of delivery on postpartum weight retention.

METHODS

Ten electronic databases including PubMed, Cochrane Library, EMBASE, Web of Science, MEDLINE, CINAHL, China National Knowledge Infrastructure (CNKI), Wan-Fang database, the VIP database and China Biology Medicine Database (CBM) were searched from inception through November 2022. Review Manager 5.4 was used to pool the study data and calculate effect sizes. For dichotomous data, the odds ratio and 95 % confidence interval were used to report the results. For continuous data, the mean difference (MD) and 95 % confidence interval were used to report the results. The outcomes were the amount of postpartum weight retention and the number or proportion of women who experienced postpartum weight retention. The Newcastle- Ottawa Scale (NOS) and GRADE Guidelines were used to assess the methodological quality of the included studies.

FINDINGS

A total of 16 articles were included in the systematic review and 13 articles were included in the meta-analysis. The results showed that the mode of delivery had a significant effect on postpartum weight retention, women who delivered by caesarean section were more likely to experience postpartum weight retention compared to those who delivered vaginally. Sensitivity analysis showed that the results were stable and credible.

CONCLUSION

Due to the limitations of this study, the findings need to be treated with caution. And, to better prevent the postpartum weight retention, future practice and research need to further focus on upstream modifiable factors.

Development and validation of a non-invasive model for predicting significant fibrosis based on patients with nonalcoholic fatty liver disease in the United States

Background

Liver fibrosis is closely related to abnormal liver function and liver cancer. Accurate noninvasive assessment of liver fibrosis is of great significance for preventing disease progression and treatment decisions. The purpose of this study was to develop and validate a non-invasive predictive model for the asses`sment of significant fibrosis in patients with non-alcoholic fatty liver disease.

Methods

Information on all participants for 2017-2018 was extracted from the NHANES database. The eligible patients with significant fibrosis (n=123) and non-significant fibrosis (n=898) were selected to form the original dataset. Variable selection was performed using least absolute shrinkage and selection operator (Lasso) regression, and multivariate logistic regression analysis was used to develop a prediction model. The utility of the model is assessed in terms of its discrimination, calibration and clinical usability. Bootstrap-resampling internal validation was used to measure the accuracy of the prediction model.

Results

This study established a new model consisting of 9 common clinical indicators and developed an online calculator to show the model. Compared with the previously proposed liver fibrosis scoring system, this model showed the best discrimination and predictive performance in the training cohort (0.812,95%CI 0.769-0.855) and the validation cohort (0.805,95%CI 0.762-0.847), with the highest area under curve. Specificity(0.823), sensitivity(0.699), positive likelihood ratio(3.949) and negative likelihood ratio(0.366) were equally excellent. The calibration plot of the predicted probability and the actual occurrence probability of significant fibrosis shows excellent consistency, indicating that the model calibration is outstanding. Combined with decision curve analysis, this model has a great benefit in the range of 0.1-0.8 threshold probability, and has a good application value for the diagnosis of clinical significant fibrosis.

Conclusion

This study proposes a new non-invasive diagnostic model that combines clinical indicators to provide an accurate and convenient individualized diagnosis of significant fibrosis in patients with non-alcoholic fatty liver disease.

"Better start": promoting breastfeeding through demarketing

BACKGROUND

This paper explores how demarketing strategies impact women's breastfeeding attitudes, intentions, and behaviors under the moderation of time pressure and breastfeeding knowledge.

METHODS

A cross-sectional questionnaire-based survey among 369 respondents is used to test the proposed hypotheses. The study's population includes all breastfeeding women in Palestine. Snowball and convenience sampling were used to choose study participants through personal connections and social media. Every respondent was encouraged to share the survey with their social media contacts.

RESULTS

The data results confirm the positive effects of promotion, place, price, and product demarketing, respectively, on women's attitudes, intentions, and behavior toward breastfeeding. These effects were reinforced by reduction in time pressure and breastfeeding knowledge. Furthermore, demarketing effects are stronger for younger, more educated, unemployed, and lower-income women.

CONCLUSION

The study is a primer on promoting breastfeeding instead of formula by means of demarketing strategies.

Analysis of the Nursing Effect of Anesthesia Care Integration Combined with Preventive Nursing on Older Patients with Lumbar Disc Herniation During the Perioperative Period

Objective

This study explored the nursing effect of anesthesia care integration combined with preventive nursing on older patients with perioperative lumbar disc herniation (LDH).

Methods

Clinical data of 100 older patients with LDH who were admitted to our hospital between May 2017 and May 2022 were used, and there were no patients who had not had surgery between January and May 2020 because of the COVID-19 pandemic. Based on the different nursing methods, the patients were divided into control and observation groups, with 50 cases each. The control group received anesthesia care integration, whereas the observation group received anesthesia care integration combined with preventive nursing. Lumbar spine function, pain score, anesthesia recovery assessment, and nursing effects were compared between the two groups.

Results

The scores of the anesthesia recovery assessment of the two groups were compared, and the vital signs of the observation group during recovery from anesthesia were significantly better than those of the control group (P<0.05). After nursing care, the Japanese Orthopaedic Association (JOA) score of the observation group was significantly higher than that of the control group; however, the numerical scale (NRS) score of the observation group was significantly lower than that of the control group (P<0.05). After nursing care, the physical comfort, emotional state, psychological support, self-care ability, and pain scores were higher in the observation group than in the control group; however, the NRS score of the observation group was significantly lower than that of the control group (P<0.05).

Conclusion

Anesthesia care integration combined with preventive nursing has a positive effect on older patients with perioperative LDH, and it significantly improves lumbar spine function, reduces pain, shortens recovery time, and benefits physical and mental health.

Midwife-Led Continuity of Antenatal Care and Breastfeeding Duration Beyond Postpartum Hospital Discharge: A Systematic Review

BACKGROUND

The World Health Organization recommends that infants should be exclusively breastfed for the first 6 months of life and that breastfeeding should continue for 2 years and beyond. Most women initiate breastfeeding, but many do not continue for the recommended duration. While midwife-led continuity of antenatal care is linked to improved mother and infant outcomes, the influence on breastfeeding duration has not been previously reviewed.

RESEARCH AIM

To critically analyze the literature that compared midwife-led continuity of antenatal care with other models of care where researchers have measured breastfeeding duration beyond postpartum hospital discharge.

METHODS

A systematic literature review with critical analysis was used to answer the research aim. We systematically searched and screened five databases for quantitative studies where researchers had reported breastfeeding duration beyond postpartum hospital discharge after midwife-led continuity of antenatal care, compared with another model of antenatal care. Methodological quality was assessed using tools from the Cochrane Collaboration (RoB2 and ROBINS-I). In total, nine studies met the inclusion criteria.

RESULTS

Clear conclusions about the association between midwife-led continuity of antenatal care and breastfeeding duration were not found. The risk of bias within non-randomized studies ranged from serious to critical, and a judgement of "some concerns" of risk of bias in the one randomized study.

CONCLUSION

To date, the question of whether midwife-led continuity of antenatal care improves breastfeeding duration has not been established. There has been a lack of consistency in definitions of breastfeeding and descriptions of models of care, which has weakened the evidence-based of literature reviewed.Our review protocol was registered with PROSPERO; although due to COVID-19, this registration was not checked for eligibility by the PROSPERO team (CRD42020151276). https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020151276.

Development of a breastfeeding duration risk nomogram for use in postpartum Chinese women

Previous studies have investigated influencing factors of early discontinuation of breastfeeding, but few studies have developed an easy-to-use tool to identify risk of breastfeeding cessation at 6 months after birth. This research team aimed to develop and validate an exclusive breastfeeding duration risk nomogram in Chinese mothers. A longitudinal cohort survey was conducted. Data were collected from 394 postpartum women in three hospitals in Hubei Province, China from December 2017 to December 2018. The LASSO regression model was used to screen for optimized factors in an exclusive breastfeeding duration model. Multivariable logistic regression was applied to construct a prediction model. Discrimination and calibration were assessed using a C-index and calibration curve, and internal validity was established using bootstrapping validation. Factors integrated in the prediction risk nomogram were monthly household income (odds ratio [OR] = 1.31, 95% confidence interval [CI]: [0.95, 1.80]), experiences of breastfeeding (OR = 1.23, 95% CI: [0.92, 1.63]), attitude (OR = 1.72, 95% CI: [0.94, 3.16]), self-efficacy (OR = 2.45, 95% CI: [1.40, 4.29]), perceived insufficient milk supply (OR = 0.12, 95% CI: [0.06, 0.25]) and postpartum depression (OR = 0.06, 95% CI: [0.02, 0.17]). The model displayed good discrimination with a C-index of 0.87 (95% CI: [0.84, 0.91]) and good calibration. The C-index interval validation was confirmed to be 0.86. This study resulted in the development of a novel nomogram with good accuracy to aid healthcare professionals in assessing the probability of a mother discontinuing exclusive breastfeeding at the breast before 6 months.

pH-induced homogeneous liquid-liquid microextraction method based on new switchable deep eutectic solvent for the extraction of three antiepileptic drugs from breast milk

Aim: A pH-induced homogeneous liquid-liquid microextraction (HLLME) using a new switchable deep eutectic solvent has been used for the extraction of three antiepileptic drugs from breast milk samples. Methodology: This method is based on phase separation by changing pH. An ammonia solution and a phosphocholine chloride: hexanoic acid: p-aminophenol deep eutectic solvents were used as the phase separation agent and extraction solvent, respectively. Results: Significant factors were studied and the detection limits and enrichment factors were in the ranges of 0.009-0.19 ng ml^-1 and 182-212 for the analytes, respectively. Also, linear ranges were wide (0.63-500 ng ml^-1) and the method precision was acceptable. Conclusion: The introduced method was successfully applied for the determination of the analyte concentrations in breast milk samples.