Relationship between the preoperative tear area of the rotator cuff measured using radial-slice magnetic resonance images and the postoperative rotator cuff integrity: a prospective case-control study

Background: Placenta plays a very important role in the growth and development of fetus. Objective: To know the correlation between placental weight and perinatal outcome in term antenatal women. Methods: Present prospective case-control study was conducted in the rural tertiary center of Northern India over one year (January-December 2018) on 1,118 term (≥37-≤42 weeks) antenatal women with singleton pregnancy fulfilling inclusion criteria with 559 women with high-risk pregnancy as cases and 559 low-risk pregnant women as controls. Placental weight, birth weight was measured immediately after delivery and compared between the two groups along with gestation, parity, fetal gender, and neonatal outcome. Statistical analysis was done using SPSS 22 version. Results: Mean placental weight [481.98±67.83 gm vs. 499.47±59.59 gm (p=.000)] and birth weight [2.68±0.53 Kg vs. 2.88±0.4 Kg (p=.000)] was significantly lower in high risk as compared to lowrisk participants, whereas placental birth weight ratio was higher in high-risk cases [18.35±2.37 vs. 17.41±1.38 (p=.000)] respectively. Placental weight was positively correlated with birth weight and placental weight and birth weight increased with increasing gestation in both cases and controls. Male neonates had higher placental weight [492.74±68.24 gm vs. 488±58.8 gm (p=0.224)] and birth weight [2.81±0.5 Kg vs. 2.74±0.45 Kg (p=0.033)] as compared to females. Neonatal Intensive Care Unit admission was significantly associated with low placental and birth weight (p=.000). Conclusion: There is a significant correlation between placental weight, birth weight and neonatal outcome, hence placental weight can be used as an indirect indicator of intrauterine fetal growth.

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Distinct Gene Expression Profile in Patients With Poor Postoperative Outcomes After Rotator Cuff Repair: A Case-Control Study

The American Journal of Sports Medicine ◽

10.1177/03635465211023212 ◽

2021 ◽

pp. 036354652110232

Author(s):

Jessica M. Eager ◽

William J. Warrender ◽

Carly B. Deusenbery ◽

Grant Jamgochian ◽

Arjun Singh ◽

...

Keyword(s):

Gene Expression ◽

Rotator Cuff ◽

Surgical Outcomes ◽

Rotator Cuff Repair ◽

Case Control Study ◽

Case Control ◽

Gene Sets ◽

Poor Outcomes ◽

Cuff Repair ◽

Control Study

Background: Impaired healing after rotator cuff repair is a major concern, with retear rates as high as 94%. A method to predict whether patients are likely to experience poor surgical outcomes would change clinical practice. While various patient factors, such as age and tear size, have been linked to poor functional outcomes, it is currently very challenging to predict outcomes before surgery. Purpose: To evaluate gene expression differences in tissue collected during surgery between patients who ultimately went on to have good outcomes and those who experienced a retear, in an effort to determine if surgical outcomes can be predicted. Study Design: Case-control study; Level of evidence, 3. Methods: Rotator cuff tissue was collected at the time of surgery from 140 patients. Patients were tracked for a minimum of 6 months to identify those with good or poor outcomes, using clinical functional scores and follow-up magnetic resonance imaging to confirm failure to heal or retear. Gene expression differences between 8 patients with poor outcomes and 28 patients with good outcomes were assessed using a multiplex gene expression analysis via NanoString and a custom-curated panel of 145 genes related to various stages of rotator cuff healing. Results: Although significant differences in the expression of individual genes were not observed, gene set enrichment analysis highlighted major differences in gene sets. Patients who had poor healing outcomes showed greater expression of gene sets related to extracellular matrix production ( P < .0001) and cellular biosynthetic pathways ( P < .001), while patients who had good healing outcomes showed greater expression of genes associated with the proinflammatory (M1) macrophage phenotype ( P < .05). Conclusion: These results suggest that a more proinflammatory, fibrotic environment before repair may play a role in poor healing outcome. With validation in a larger cohort, these results may ultimately lead to diagnostic methods to preoperatively predict those at risk for poor surgical outcomes.

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