Association between proteinuria and adverse pregnancy outcomes: a retrospective cohort study

Intact NOX2 in T Cells Mediates Pregnancy-Induced Renal Damage in Dahl SS Rats

BACKGROUND

Hypertensive disorders of pregnancy are associated with increased risk for cardiovascular disease, renal disease, and mortality. While the exact mechanisms remain unclear, T cells and reactive oxygen species have been implicated in its pathogenesis. We utilized Dahl salt-sensitive (SS), SSCD247-/- (Dahl SS CD247 knockout rat; lacking T cells), and SSp67phox-/- (Dahl SS p67phox [NOX2 (NADPH [nitcotinamide adenine dinucleotide phosphate] oxidase 2)] knockout rat; lacking NOX2) rats to investigate these mechanisms in primigravida and multigravida states.

METHODS

We assessed blood pressure and renal damage phenotypes in SS, SSCD247-/-, and SSp67phox-/- rats during primigravida and multigravida states. To investigate the contribution of NOX2 in T cells, we performed adoptive transfers of splenocytes or cluster of differentiation (CD)4+ T cells from either SS or SSp67phox-/- donors into SSCD247-/- recipients to determine pregnancy-specific alterations in phenotype.

RESULTS

Multigravida SS rats developed significant pregnancy-induced renal damage and renal functional impairment associated with elevated maternal mortality rates, whereas deletion of T cells or NOX2 garnered protection. During primigravida states, this attenuation in renal damage was observed, with the greatest protection in the SSp67phox-/- rat. To demonstrate that NOX2 in T cells contributes to adverse pregnancy phenotypes, adoptive transfer of SS splenocytes into SSCD247-/- rats resulted in significant pregnancy-induced renal damage, whereas transfer of SSp67phox-/- splenocytes garnered protection. Specifically, the transfer of SS CD4+ T cells resulted in pregnancy-induced proteinuria and increases in uterine artery resistance index, an effect not seen with the transfer of SSp67phox-/- CD4+ T cells.

CONCLUSIONS

T cells and NOX2-derived reactive oxygen species, thus, contribute to end-organ damage in both primigravida and multigravida pregnancies in the SS rat leading to increases in maternal mortality.

Machine learning, advanced data analysis, and a role in pregnancy care? How can we help improve preeclampsia outcomes?

The value of machine learning capacity in maternal health, and in particular prediction of preeclampsia will only be realised when there are high quality clinical data provided, representative populations included, different health systems and models of care compared, and a culture of rapid use and application of real-time data and outcomes. This review has been undertaken to provide an overview of the language, and early results of machine learning in a pregnancy and preeclampsia context. Clinicians of all backgrounds are encouraged to learn the language of Machine Learning (ML) and Artificial intelligence (AI) to better understand their potential and utility to improve outcomes for women and their families. This review will outline some definitions and features of ML that will benefit clinician's knowledge in the preeclampsia discipline, and also outline some of the future possibilities for preeclampsia-focussed clinicians via understanding AI. It will further explore the criticality of defining the risk, and outcome being determined.

Obstetrical outcomes of women with new-onset isolated proteinuria diagnosed after 24 weeks' gestation

PURPOSE

To assess a possible association between marked proteinuria and the risk of preeclampsia with severe features, as defined by the American College of Obstetricians and Gynecologists.

METHODS

This retrospective study included data recorded at a tertiary university-affiliated hospital between 2017 and 2022. Women at or beyond 24 weeks of gestation with proteinuria (protein levels > 300 mg in a 24 h urine collection) and normal blood pressure during the initial 48 h of admission were included. Obstetrical and neonatal outcomes were compared between women with mild proteinuria (300-1000 mg/24 h) and marked proteinuria (≥ 1000 mg/24 h).

RESULTS

Among the women with marked proteinuria (n = 48) compared to those with mild proteinuria (n = 108), the incidences were higher of preeclampsia (50.0% vs. 22.2%, p = 0.001) and of preeclampsia with severe features (18.8% vs. 2.8%, p < 0.001). In multivariate analysis that adjusted for maternal age, primiparity, multiple pregnancy, uric acid level > 6 mg/dL and aspirin treatment, marked proteinuria was a risk factor for preeclampsia with severe features (adjusted odds ratio [aOR] = 10.2, confidence interval [CI] 95% 1.9-54.0, p = 0.007) and for small-for-gestational-age infants (aOR = 2.4, 95% CI 1.02-5.6, p = 0.001). Among women with marked compared to mild proteinuria, rates were also higher of labor induction (58.3% vs. 25.9%, p < 0.001), indicated preterm delivery (41.7% vs. 25.0%, p = 0.04) and admission to the neonatal intensive care unit (44.1% vs. 25.8%, p = 0.017).

CONCLUSIONS

Women with marked compared to mild isolated proteinuria showed higher risk of developing preeclampsia with severe features and of delivering small-for-gestational-age neonates.

Twenty-four-hour urinary protein excretion in uncomplicated singleton pregnancy

BACKGROUND

Twenty-four-hour urinary total protein excretion is an essential parameter used for evaluation of renal function and early detection of gestational complications. However, data on reference ranges of 24-hour urinary total protein excretion in normal pregnancy are scarce.

OBJECTIVE

This study aimed to determine reference ranges for 24-hour urinary total protein excretion in a population with uncomplicated singleton pregnancies using a standard method for urinary total protein. In addition, the values of 24-hour urinary total protein were stratified by maternal age and prepregnancy body mass index.

STUDY DESIGN

This study was based on a prospective cohort study in Shenzhen, China. The pregnant women were enrolled at their first prenatal clinical visit. All the participants were instructed to collect 24-hour urine samples during the following successive gestational periods: 6+0 to 13+6, 14+0 to 27+6, and 28+0 to 41+6 weeks. Total urinary protein excretion was analyzed by a colorimetric method. Ultimately, the study encompassed a total of 4844 pregnant women with uncomplicated pregnancies. The nonparametric percentile method was used to determine reference ranges for 24-hour urinary total protein excretion during different trimesters in women with uncomplicated pregnancies (excluding those with previous kidney disorders, gestational or chronic hypertension, preeclampsia, and pregestational diabetes mellitus, among others).

RESULTS

The 24-hour urinary total protein levels expressed as medians and percentiles (5th, 95th) for each trimester were as follows: 72.0 (28.4, 165.0), 88.0 (34.0, 185.0), and 108.0 (37.5, 258.0) mg in the first, second, and third trimesters, respectively. A significant increase in 24-hour urinary total protein excretion was observed throughout pregnancy (all P values <.001). Moreover, 24-hour urinary total protein levels were higher in the older (≥35 years) than in the younger (<35 years) group from mid-gestation. Specifically, the median (interquartile range) 24-hour urinary total protein levels by age were 72.2 (50.6-100.0) vs 70.5 (50.5-100.0) mg, 85.8 (62.0-117.0) vs 96.0 (68.0-127.8) mg, and 106.6 (76.0-146.2) vs 114.7 (81.5-153.6) mg in the first, second, and third trimesters, respectively. In addition, 24-hour proteinuria was significantly increased in higher-weight (overweight or obese) subgroups compared with lower-weight (underweight or normal-weight) subgroups (all P values <.05).

CONCLUSION

Our study provides reference values for 24-hour urinary total protein excretion with apparently uncomplicated pregnancies. Understanding these changes in low-risk pregnancies is essential for optimizing maternal management.