Quality of life 1 year after hospital discharge in unvaccinated pregnant women with COVID-19 respiratory symptoms: a prospective observational study (ODISSEA-PINK study)

Vetrugno, Luigi; Sala, Alessia; Deana, Cristian; Meroi, Francesco; Grandesso, Maria; Maggiore, Salvatore Maurizio; Isola, Miriam; De Martino, Maria; Restaino, Stefano; Vizzielli, Giuseppe; Bove, Tiziana; Driul, Lorenza

doi:10.3389/fmed.2023.1225648

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…It is reported that patients who were admitted due to acute respiratory infection still have decreased QoL 1 year after hospital discharge. Future studies are warranted to evaluate the long-term QoL following gynecology surgery, which potentially addresses invaluable factors impacting QoL (21). Our study had a relatively slow accrual due to the study population being limited to those willing to complete QoL surveys at perioperative visits which may have led to bias in patient selection.…”

Section: Discussionmentioning

confidence: 99%

Feasibility and safety of planned early discharge following laparotomy in gynecologic oncology with enhanced recovery protocol including opioid-sparing anesthesia

Kuznicki,

Yasukawa,

Mallen

et al. 2023

Front. Surg.

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ObjectiveThis study aims to evaluate the feasibility and safety of planned postoperative day 1 discharge (PPOD1) among patients who undergo laparotomy (XL) in the department of gynecology oncology utilizing a modified enhanced recovery after surgery (ERAS) protocol including opioid-sparing anesthesia (OSA) and defined discharge criteria.MethodsPatients undergoing XL and minimally invasive surgery (MIS) were enrolled in this prospective, observational cohort study after the departmental implementation of a modified ERAS protocol. The primary outcome was quality of life (QoL) using SF36, PROMIS GI, and ICIQ-FLUTS at baseline and 2- and 6-week postoperative visits. Statistical significance was assessed using the two-tailed Student's t-test and non-parametric Mann–Whitney two-sample test.ResultsOf the 141 subjects, no significant demographic differences were observed between the XL group and the MIS group. The majority of subjects, 84.7% (61), in the XL group had gynecologic malignancy [vs. MIS group; 21 (29.2%), p < 0.001]. All patients tolerated OSA. The XL group required higher intraoperative opioids [7.1 ± 9.2 morphine milligram equivalents (MME) vs. 3.9 ± 6.9 MME, p = 0.02] and longer surgical time (114.2 ± 41 min vs. 96.8 ± 32.1 min, p = 0.006). No significant difference was noted in the opioid requirements at the immediate postoperative phase and the rest of the postoperative day (POD) 0 or POD 1. In the XL group, 69 patients (73.6%) were successfully discharged home on POD1. There was no increase in the PROMIS score at 2 and 6 weeks compared to the preoperative phase. The readmission rates within 30 days after surgery (XL 4.2% vs. MIS 1.4%, p = 0.62), rates of surgical site infection (XL 0% vs. MIS 2.8%, p = 0.24), and mean number of post-discharge phone calls (0 vs. 0, p = 0.41) were comparable between the two groups. Although QoL scores were significantly lower than baseline in four of the nine QoL domains at 2 weeks post-laparotomy, all except physical health recovered by the 6-week time point.ConclusionsPPOD1 is a safe and feasible strategy for XL performed in the gynecologic oncology department. PPOD1 did not increase opioid requirements, readmission rates compared to MIS, and patient-reported constipation and nausea/vomiting compared to the preoperative phase.

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Section: Discussionmentioning

confidence: 99%

Feasibility and safety of planned early discharge following laparotomy in gynecologic oncology with enhanced recovery protocol including opioid-sparing anesthesia

Kuznicki,

Yasukawa,

Mallen

et al. 2023

Front. Surg.

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“…NRDS is a disease caused by direct or indirect lung injury leading to lung inflammation, significantly affecting the respiratory system and jeopardizing the lives of affected infants ( 1 , 2 ). It can occur during intrauterine development, the birthing process, and after birth.…”

Section: Introductionmentioning

confidence: 99%

The value of lung ultrasound score in neonatal respiratory distress syndrome: a prospective diagnostic cohort study

Huang,

Zhang,

et al. 2024

Front. Med.

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RationaleThe accurate diagnosis of critically ill patients with respiratory failure can be achieved through lung ultrasound (LUS) score. Considering its characteristics, it is speculated that this technique might also be useful for patients with neonatal respiratory distress syndrome (NRDS). Thus, there is a need for precise imaging tools to monitor such patients.ObjectivesThis double-blind randomized cohort study aims to investigate the impact of LUS and related scores on the severity of NRDS patients.MethodsThis study was conducted as a prospective double-blind randomized study. Bivariate correlation analysis was conducted to investigate the relationship between LUS score and Oxygenation Index (OI), Respiratory Index (RI), and Sequential Organ Failure Assessment (SOFA) score. Spearman’s correlation coefficient was used to generate correlation heat maps, elucidating the associations between LUS and respective parameters in different cohorts. Receiver Operating Characteristic (ROC) curves were employed to calculate the predictive values, sensitivity, and specificity of different scores in determining the severity of NRDS.ResultsThis study ultimately included 134 patients admitted to the intensive care unit (ICU) between December 2020 and June 2022. Among these patients, 72 were included in the NRDS cohort, while 62 were included in the Non-NRDS (N-NRDS) cohort. There were significant differences in the mean LUS scores between NRDS and N-NRDS patients (p < 0.01). The LUS score was significantly negatively correlated with the OI (p < 0.01), while it was significantly positively correlated with the RI and SOFA scores (p < 0.01). The correlation heatmap revealed the highest positive correlation coefficient between LUS and RI (0.82), while the highest negative correlation coefficient was observed between LUS and OI (−0.8). ROC curves for different scores demonstrated that LUS score had the highest area under the curve (0.91, 95% CI: 0.84–0.98) in predicting the severity of patients’ conditions. The combination of LUS and other scores can more accurately predict the severity of NRDS patients, with the highest AUC value of 0.93, significantly higher than using a single indicator alone (p < 0.01).ConclusionOur double-blind randomized cohort study demonstrates that LUS, RI, OI, and SOFA scores can effectively monitor the lung ventilation and function in NRDS. Moreover, these parameters and their combination have significant predictive value in evaluating the severity and prognosis of NRDS patients. Therefore, these results provide crucial insights for future research endeavors.

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A study of machine learning to predict NRDS severity based on lung ultrasound score and clinical indicators

Huang,

Ha,

Cui

et al. 2024

Front. Med.

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ObjectiveTo develop predictive models for neonatal respiratory distress syndrome (NRDS) using machine learning algorithms to improve the accuracy of severity predictions.MethodsThis double-blind cohort study included 230 neonates admitted to the neonatal intensive care unit (NICU) of Yantaishan Hospital between December 2020 and June 2023. Of these, 119 neonates were diagnosed with NRDS and placed in the NRDS group, while 111 neonates with other conditions formed the non-NRDS (N-NRDS) group. All neonates underwent lung ultrasound and various clinical assessments, with data collected on the oxygenation index (OI), sequential organ failure assessment (SOFA), respiratory index (RI), and lung ultrasound score (LUS). An independent sample test was used to compare the groups’ LUS, OI, RI, SOFA scores, and clinical data. Use Least Absolute Shrinkage and Selection Operator (LASSO) regression to identify predictor variables, and construct a model for predicting NRDS severity using logistic regression (LR), random forest (RF), artificial neural network (NN), and support vector machine (SVM) algorithms. The importance of predictive variables and performance metrics was evaluated for each model.ResultsThe NRDS group showed significantly higher LUS, SOFA, and RI scores and lower OI values than the N-NRDS group (p < 0.01). LUS, SOFA, and RI scores were significantly higher in the severe NRDS group compared to the mild and moderate groups, while OI was markedly lower (p < 0.01). LUS, OI, RI, and SOFA scores were the most impactful variables for the predictive efficacy of the models. The RF model performed best of the four models, with an AUC of 0.894, accuracy of 0.808, and sensitivity of 0.706. In contrast, the LR, NN, and SVM models have lower AUC values than the RF model with 0.841, 0.828, and 0.726, respectively.ConclusionFour predictive models based on machine learning can accurately assess the severity of NRDS. Among them, the RF model exhibits the best predictive performance, offering more effective support for the treatment and care of neonates.

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Quality of life 1 year after hospital discharge in unvaccinated pregnant women with COVID-19 respiratory symptoms: a prospective observational study (ODISSEA-PINK study)

Cited by 4 publications

References 38 publications

Feasibility and safety of planned early discharge following laparotomy in gynecologic oncology with enhanced recovery protocol including opioid-sparing anesthesia

Feasibility and safety of planned early discharge following laparotomy in gynecologic oncology with enhanced recovery protocol including opioid-sparing anesthesia

The value of lung ultrasound score in neonatal respiratory distress syndrome: a prospective diagnostic cohort study

A study of machine learning to predict NRDS severity based on lung ultrasound score and clinical indicators

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