Risk Factors for Postnatal Complications in People with Sickle Cell Disease: A Preliminary Analysis
Bibliographic record
Abstract
Introduction: Sickle cell disease (SCD) is the most common hemoglobin variant worldwide, and its systemic influence, driven by acute on chronic ischemia-reperfusion injury and hemolysis-induced vasculopathy, results in diffuse end-organ damage capable of inducing significant pain and disability (Malowany et al, 2012). In studies to date, the rate of postnatal complications has been variably defined and has been shown to range between 13-25% (Camous et al, 2008; Silva et al, 2018; Oteng-Nim et al, 2015; Koshy et al, 1995). While some studies assessed the influence of type of anesthesia (neuraxial vs. general) on postnatal sickling episodes, (Bakri et al, 2015; Camous et al, 2008; Koshy et al, 1995) only one small study of 55 pregnant people assessed potential risk factors for postnatal maternal complications (Della-Moretta et al, 2021). Aim: To characterize the frequency of postpartum complications in people with SCD and to determine potential risk factors for their occurrence. Methods: A retrospective cohort study of pregnant people with SCD who delivered at Mount Sinai Hospital between 2000 and 2018 was performed. The primary outcome of an adverse maternal postnatal outcome was a composite end-point of vaso-occlusive pain, acute chest syndrome, infection (blood, urine, lungs), ICU admission, and new onset hypoxia that occurred after delivery. Patient characteristics and maternal and fetal outcomes were collected on the basis of clinical and biological plausibility. For multi-fetal pregnancies, data from a randomly chosen single infant was included in the analysis. Variables with more than 10% of data missing were excluded from this study. A ‘complicated’ vaso-occlusive event (VOE) is defined as a VOE requiring admission plus another concurrent SCD-related complication. Results: A total of 201 pregnancies from 145 pregnant people are included in this analysis. Seventy-four (36%) of these pregnancies had a postpartum complication that met the criteria for the primary outcome (see Table 1). Of these, 35% were VOEs and 4% acute chest syndrome. When comparing the differences between those who experienced a SCD-related postnatal complication as defined above, compared to those who did not, there was a significant difference in the following: HbSS genotype (75% vs 39%, p<0.001), pulmonary complications prior to pregnancy (42% vs 28%, p=0.037) as well as during pregnancy (15% vs 3.9%, p=0.006), history of simple transfusions pre-dating pregnancy (78% vs 57%, p=0.003), hemoglobin levels at different time points throughout the pregnancy and delivery (see table 4), suspected chorioamnionitis (14% vs 5.9%, p=0.05), infection present 30 days before delivery (15% vs 5.5%, p=0.03), vaso-occlusive event in the third trimester (46% vs 31%, p=0.03). Also, for a postnatal morbidity event, there was no difference in the proportion who received exchange transfusions prior to pregnancy (15% vs 11%, p=0.4), nor in those who received prophylactic exchange transfusions during the pregnancy (8.1% vs 4.7%, p=0.4). Fetal outcomes and post-partum interventions are also described in table 2. Conclusion: This study is the largest cohort of sickle cell disease patients to date, in which risk factors and postnatal outcomes are described. We have identified several risk factors that may contribute to the likelihood of experiencing an SCD-related postnatal complication. A regression analysis will be performed to establish the individual contribution of these risk factors to the primary outcome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".