Determination of neonatal case-specific fatality rates in a tertiary health institution in North Central Nigeria

Predictors of Death in Patients with Neonatal Sepsis in a Peruvian Hospital

Reducing neonatal mortality is a global challenge. This study’s objective was to determine the predictors of mortality in patients with neonatal sepsis. The study was a retrospective cohort study in a Peruvian hospital from January 2014 to April 2022. Neonates diagnosed with sepsis were included. To find predictors of mortality, we used Cox proportional regression models. We evaluated 288 neonates with sepsis; the median birth weight and hospitalization time were 3270 g and seven days, respectively. During follow-up, 18.4% did not survive, and the most common complications were jaundice (35.42%), respiratory distress syndrome (29.51%), and septic shock (12.5%). The most isolated bacteria were Klebsiella pneumoniae. The risk factors associated with higher mortality were prematurity (aHR = 13.92; 95% CI: 1.71−113.51), platelets <150,000 (aHR = 3.64; 1.22−10.88), creatinine greater than 1.10 (aHR = 3.03; 1.09−8.45), septic shock (aHR = 4.41; 2.23−8.74), and admission to IMV (aHR = 5.61; 1.86−16.88), On the other hand, breastfeeding was associated with a lower risk of death (aHR = 0.25; 0.13−0.48). In conclusion, we report a high incidence of death and identify clinical (prematurity, septic shock, admission to IMV) and laboratory characteristics (elevated creatinine and thrombocytopenia) associated with higher mortality in patients with neonatal sepsis. Breastfeeding was a factor associated with survival in these patients.

Predictive accuracy of admission cardiotocography as a screening tool for perinatal asphyxia in high-risk parturients in Northern Nigeria

OBJECTIVE

To determine the predictive accuracy of admission cardiotocography (CTG) as a screening test for perinatal asphyxia in high-risk parturients.

METHODS

A prospective study was done on a group of 180 high-risk parturients in the labor ward of Aminu Kano Teaching Hospital were subjected to a 30-min admission cardiotocography. Results were categorized based on the RCOG criteria. Those with normal results were allowed to progress in labor, while those with abnormal results had their delivery expedited. Umbilical artery blood gas analysis was done at delivery. Measured variables were expressed in descriptive statistics. Tests of association for categorical variables were done using the non-parametric chi-square test (P-value of ≤0.05). The Binary logistic regression model was used to control potential confounders.

RESULTS

After excluding five cord blood samples, 175 samples were analyzed. The CTG was reassuring in 149 (85.1%), non-reassuring in 15 (8.6%), and abnormal in 11 (6.3%) women. Fetal distress developed in 5 (3.4%) and 7 (46.7%) of reassuring and non-reassuring groups, respectively. The test had 91% sensitivity, specificity was 68.8%, and the predictive accuracy was 88.6% for asphyxia using base deficit.

CONCLUSION

The admission that cardiotocography is useful in detecting fetuses at risk of perinatal asphyxia in high-risk deliveries.

Neonatal mortality in a public referral hospital in southern Haiti: a retrospective cohort study

Background

Haiti has the highest rate of neonatal mortality in the Latin America and Caribbean region. While the rate of facility births in Haiti has doubled over the past two decades, there have been no comparable reductions in maternal or neonatal mortality. Little data is available on the clinical characteristics of complications and morbidities among newborns requiring hospitalization after birth and their contribution to neonatal mortality. There is a need to better understand the status of newborn clinical care capacity in Haiti to prioritize training and resources.

Methods

We performed a retrospective observational cohort study of neonates admitted to a large public referral hospital in southern Haiti in the first 2 years of operation of a new neonatal unit that we established. All neonate cases hospitalized in the unit in these 2 years were reviewed and analyzed to identify their clinical characteristics and outcomes. Multivariable logistic regression was used to identify independent risk factors of hospital mortality. We present the outcomes for 1399 neonates admitted to the unit during August 2017 and August 2019.

Results

The leading cause of death was prematurity, followed by hypoxia and infection. Inborn neonates had better rates of hospital survival than those born elsewhere; they were also more likely to be born via cesarean section and to be admitted immediately following birth. There were no differences between the proportion of premature or low-birth-weight babies born at the hospital or elsewhere. Mortality in the second year of the unit’s operation was 12%, almost half that of the first year (21%). Multivariable regression analysis showed that mortality was consistently higher among premature and very low birthweight babies.

Conclusions

With modest investments, we were able to halve the mortality on a neonatal unit in Haiti. Resources are needed to address prematurity as an important outcome since hospital mortality was significant in this group. To this end, investment in uninterrupted supplies of oxygen and antibiotics, as well as ensuring adequate newborn resuscitation, infection control, laboratory testing, and timely morbidity and mortality reviews would go a long way toward lowering hospital mortality in Haiti.

Prediction for late-onset sepsis in preterm infants based on data from East China

AIM

To construct a prediction model based on the data of premature infants and to apply the data in our study as external validation to the prediction model proposed by Yuejun Huang et al. to evaluate the predictive ability of both models.

METHODS

In total, 397 premature infants were randomly divided into the training set (n = 278) and the testing set (n = 119). Univariate and multivariate logistic analyses were applied to identify potential predictors, and the prediction model was constructed based on the predictors. The area under the curve (AUC) value, the receiver operator characteristic (ROC) curves, and the calibration curves were used to evaluate the predictive performances of prediction models. The data in our study were used in the prediction model proposed by Yuejun Huang et al. as external validation.

RESULTS

In the current study, endotracheal intubation [odds ratio (OR) = 10.553, 95% confidence interval (CI): 4.959-22.458], mechanical ventilation (OR = 10.243, 95% CI: 4.811-21.806), asphyxia (OR = 2.614, 95% CI: 1.536-4.447), and antibiotics use (OR = 3.362, 95% CI: 1.454-7.775) were risk factors for late-onset sepsis in preterm infants. The higher birth weight of infants (OR = 0.312, 95% CI: 0.165-0.588) and gestational age were protective factors for late-onset sepsis in preterm infants. The training set was applied for the construction of the models, and the testing set was used to test the diagnostic efficiency of the model. The AUC values of the prediction model were 0.760 in the training set and 0.796 in the testing set.

CONCLUSION

The prediction model showed a good predictive ability for late-onset sepsis in preterm infants.