&lt;p&gt;Predictors of postoperative outcomes in infants with low birth weight undergoing congenital heart surgery: a retrospective observational study&lt;/p&gt;

Lu, Chao; Yu, Lina; Wei, Jinfeng; Chen, Jimei; Zhuang, Jian; Wang, Sheng

doi:10.2147/tcrm.s206147

Cited by 6 publications

(3 citation statements)

References 24 publications

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“…In many cases, the disorder is caused by damage of brain during surgery. The incidence of neurological disorders in some studies was in range of 4-15% [12,17]. In our study the incidence of postoperative clinical seizures was 6.6%.…”

Section: Discussionsupporting

confidence: 48%

The Risk Factors for Postoperative Outcomes in Neonatal Cardiac Surgery

Mandzukovska

2021

JMS

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In the last three decades a neonatal cardiac surgery has improved the aproach and methods for adequate treatment of complex congenital heart defects. Although we have advances in fetal cardiac imaging and improved perioperative cardiac procedures, the postoperative outcomes in neonates are still present.We present our experience of operated neonates with congenital heart defects in a tertiary referral center, University Clinic for Pediatric Diseases, Neonatal Intensive Care Unit (NICU) in Skopje N. Macedonia. This is a retrospective study including neonates who underwent surgical intervention between January 2013 and December 2015. We analyzed perioperative and postoperative variables, duration of cardiopulmonaly bypass (CPB), and x-cross of aorta, duration of mechanical ventilation, intensive care unit stay and postoperative complications.Out of a total of 85 children, 15/85 (17.6 %) were neonates; the overall mortality was 1/15% (6.6%).There were 13/15 (86.6%) corrective procedures and 2/15 (13.3%) palliative ones. The mean duration of CPB was 46.6 min., duration of x-cross of aorta was 17.5 min. The mean duration of mechanical ventilation was 3.4 days, duration of inotropic support was 4.2 days, and ICU stay 5.8 days. Postoperative complications were confirmed in 3 neonates.Due to adequate cardiac surgery, signicant technological advances, devices and increasing experience in neonatal cardiac surgery we have improved postoperative outcomes.

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Section: Discussionsupporting

confidence: 48%

The Risk Factors for Postoperative Outcomes in Neonatal Cardiac Surgery

Mandzukovska

2021

JMS

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“…However, we observed that a weight ≤ 3.75 kg during the operation predicted the incidence of postoperative LCOS in the ROC and AUC analyses. Lu et al ( 34 ) found that a low operation weight was a significant risk factor for mortality in infants with congenital heart defects in a Chinese population. Therefore, we suggest that if there are no other factors indications for emergency surgery, body weight should be increased by strengthening nutrition, which could help reduce the incidence of postoperative LCOS.…”

Section: Discussionmentioning

confidence: 99%

Predictors of Low Cardiac Output Syndrome in Infants After Open-Heart Surgery

Zou

Wang

et al. 2022

Front. Pediatr.

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ObjectiveTo evaluate the predictors of low cardiac output syndrome (LCOS) in infants with congenital heart disease (CHD) after cardiopulmonary bypass (CPB).Study designA total of 217 infants were enrolled and classified according to whether they developed LCOS after cardiac surgery. Each infant's preoperative and intraoperative clinical variables were collected.ResultsThe incidence of LCOS was 28.11% in our study. The univariate analysis showed that the LCOS group was younger than the non-LCOS group (25.69 ± 25.01 days vs. 44.45 ± 26.97 days, P < 0.001), with a higher proportion of neonates (60.7 vs. 27.6%, P < 0.001) and a higher proportion of patients with a RACHS-1 score ≥4 (50.8 vs. 17.9%, P < 0.001). A lower weight (3.70 ± 0.74 vs. 4.23 ± 1.10 kg, P = 0.001), longer ACC time (61.96 ± 21.44 min vs. 41.06 ± 18.37 min, P < 0.001) and longer CPB time (131.54 ± 67.21 min vs. 95.78 ± 62.67 min, P < 0.001) were found in the LCOS group. The levels of free triiodothyronine (FT3) (4.55 ± 1.29 pmol/L vs. 5.18 ± 1.42 pmol/L, P = 0.003) and total triiodothyronine (TT3) (1.80 ± 0.56 nmol/L vs. 1.98 ± 0.54 nmol/L, P = 0.026) were also lower in the LCOS group. The multivariate binary logistic regression analysis and receiver operating characteristic (ROC) indicated that the ACC time, FT3 level and body weight were independent predictors of LCOS.ConclusionsIn our patient population, we first propose that preoperative FT3 can predict the occurrence of postoperative LCOS. ACC time, FT3 level and body weight are independent predictors of LCOS and maybe helpful in reducing the incidence of postoperative LCOS in the future.

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“…This nomogram was constructed using the training cohort and achieved good performance in both the training and validation cohorts; the ROC and C-index results were also good in both cohorts. Nomogram is a very useful tool to predict diseases or outcomes ( Gu et al, 2020 ; Kong et al, 2019 ; Lei et al, 2016 ; Li & Meng, 2019 ; Lu et al, 2019 ). The nomogram constructed in this study had good predictive performance and generalizability.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a nomogram to predict postoperative pulmonary complications following thoracoscopic surgery

Wang

Chen

Zhao

et al. 2021

PeerJ

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Background Postoperative pulmonary complications (PPCs) after thoracoscopic surgery are common. This retrospective study aimed to develop a nomogram to predict PPCs in thoracoscopic surgery. Methods A total of 905 patients who underwent thoracoscopy were randomly enrolled and divided into a training cohort and a validation cohort at 80%:20%. The training cohort was used to develop a nomogram model, and the validation cohort was used to validate the model. Univariate and multivariable logistic regression were applied to screen risk factors for PPCs, and the nomogram was incorporated in the training cohort. The discriminative ability and calibration of the nomogram for predicting PPCs were assessed using C-indices and calibration plots. Results Among the patients, 207 (22.87%) presented PPCs, including 166 cases in the training cohort and 41 cases in the validation cohort. Using backward stepwise selection of clinically important variables with the Akaike information criterion (AIC) in the training cohort, the following seven variables were incorporated for predicting PPCs: American Society of Anesthesiologists (ASA) grade III/IV, operation time longer than 180 min, one-lung ventilation time longer than 60 min, and history of stroke, heart disease, chronic obstructive pulmonary disease (COPD) and smoking. With incorporation of these factors, the nomogram achieved good C-indices of 0.894 (95% confidence interval (CI) [0.866–0.921]) and 0.868 (95% CI [0.811–0.925]) in the training and validation cohorts, respectively, with well-fitted calibration curves. Conclusion The nomogram offers good predictive performance for PPCs after thoracoscopic surgery. This model may help distinguish the risk of PPCs and make reasonable treatment choices.

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<p>Predictors of postoperative outcomes in infants with low birth weight undergoing congenital heart surgery: a retrospective observational study</p>

Cited by 6 publications

References 24 publications

The Risk Factors for Postoperative Outcomes in Neonatal Cardiac Surgery

The Risk Factors for Postoperative Outcomes in Neonatal Cardiac Surgery

Predictors of Low Cardiac Output Syndrome in Infants After Open-Heart Surgery

Development and validation of a nomogram to predict postoperative pulmonary complications following thoracoscopic surgery

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