scholarly journals Delivery Outcomes During the COVID-19 Pandemic as Reported in a Pregnancy Mobile Application: A Retrospective Cohort Study (Preprint)

2021 ◽  
Author(s):  
Katie Noddin ◽  
Dani Bradley ◽  
Adam Wolfberg
Keyword(s):  
Cohort Study ◽  
Hospital Stay ◽  
Retrospective Cohort Study ◽  
Mobile Application ◽  
Retrospective Cohort ◽  
Length Of Hospital Stay ◽  
Digital Data ◽  
Hospital Length Of Stay ◽  
Maternal Healthcare ◽  
Average Hospital

BACKGROUND The COVID-19 pandemic has presented obstacles for providers and patients in the maternal healthcare setting, causing changes to many pregnant women’s birth plans, as well as abrupt changes in hospital labor and delivery policies and procedures. Few data exist on the effects of the COVID-19 pandemic on the maternal healthcare landscape. OBJECTIVE To assess the incidence of key obstetrics outcomes (preterm delivery, Cesarean sections, home births, and length of hospital stay) during the COVID-19 pandemic. METHODS We conducted a retrospective cohort study of women in the US who delivered between October 1, 2019 and September 30, 2020, had singleton deliveries, and completed a birth report in the Ovia Health pregnancy mobile application. Women were assigned to the before-pandemic cohort if they delivered between October and March, and the during-pandemic cohort if they delivered between April and September. Gestational age at delivery, delivery method, delivery facility type, and length of hospital stay were compared. RESULTS A total of 415,125 birth reports were collected with 213,541 (51%) in the before-pandemic cohort and 201,584 (49%) in the during-pandemic cohort. Compared to the before-pandemic cohort, principal findings indicate a 5% decrease in preterm deliveries in the during-pandemic cohort (P<.001; OR = 0.95, 95% CI 0.93-0.97), a 28% increase in home birth rates (P<.001; OR = 1.29, 95% CI 1.22-1.35), and a 7.6% decrease in the average hospital length of stay post-delivery (mean 2.53 (SD 1.4)). CONCLUSIONS Results suggest a need for continuous monitoring of maternal health trends as the COVID-19 pandemic progresses, and the important role of digital data collection, particularly during the pandemic.

scholarly journals A Nomogram Prediction of Length of Hospital Stay in Patients with COVID-19 Pneumonia: A Retrospective Cohort Study

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Kang Li ◽  
Chi Zhang ◽  
Ling Qin ◽  
Chaoran Zang ◽  
Ang Li ◽  
...  
Keyword(s):  
Cohort Study ◽  
Hospital Stay ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Proportional Hazards ◽  
Characteristic Curve ◽  
Length Of Hospital Stay ◽  
Cox Proportional Hazards ◽  
Brier Score ◽  
Rank Test

Assessing the length of hospital stay (LOS) in patients with coronavirus disease 2019 (COVID-19) pneumonia is helpful in optimizing the use efficiency of hospital beds and medical resources and relieving medical resource shortages. This retrospective cohort study of 97 patients was conducted at Beijing You’An Hospital between January 21, 2020, and March 21, 2020. A multivariate Cox proportional hazards regression based on the smallest Akaike information criterion value was used to select demographic and clinical variables to construct a nomogram. Discrimination, area under the receiver operating characteristic curve (AUC), calibration, and Kaplan–Meier curves with the log-rank test were used to assess the nomogram model. The median LOS was 13 days (interquartile range [IQR]: 10–18). Age, alanine aminotransferase, pneumonia, platelet count, and PF ratio (PaO2/FiO2) were included in the final model. The C-index of the nomogram was 0.76 ( 95 % confidence   interval   CI = 0.69 – 0.83 ), and the AUC was 0.88 ( 95 % CI = 0.82 – 0.95 ). The adjusted C-index was 0.75 ( 95 % CI = 0.67 – 0.82 ) and adjusted AUC 0.86 ( 95 % CI = 0.73 – 0.95 ), both after 1000 bootstrap cross internal validations. A Brier score of 0.11 ( 95 % CI = 0.07 – 0.15 ) and adjusted Brier score of 0.130 ( 95 % CI = 0.07 – 0.20 ) for the calibration curve showed good agreement. The AUC values for the nomogram at LOS of 10, 20, and 30 days were 0.79 ( 95 % CI = 0.69 – 0.89 ), 0.89 ( 95 % CI = 0.83 – 0.96 ), and 0.96 ( 95 % CI = 0.92 – 1.00 ), respectively, and the high fit score of the nomogram model indicated a high probability of hospital stay. These results confirmed that the nomogram model accurately predicted the LOS of patients with COVID-19. We developed and validated a nomogram that incorporated five independent predictors of LOS. If validated in a future large cohort study, the model may help to optimize discharge strategies and, thus, shorten LOS in patients with COVID-19.

scholarly journals Exposure-Based Methadone and Lorazepam Weaning Protocol Reduces Wean Length in Children

2021 ◽  
Vol 26 (1) ◽  
pp. 42-49
Author(s):  
Alexandra K. Wilson ◽  
Carolyn E. Ragsdale ◽  
Ila Sehgal ◽  
Micah Vaughn ◽  
Eimeira Padilla-Tolentino ◽  
...  
Keyword(s):  
Cohort Study ◽  
Length Of Stay ◽  
Adverse Events ◽  
Hospital Stay ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Median Number ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Shorten Hospital Stay

OBJECTIVE Determine if a standardized methadone and lorazepam weaning protocol that is based on dose and duration of exposure can reduce the length of opioid and benzodiazepine weaning and shorten hospital stay. METHODS Retrospective cohort study performed in a 24-bed medical/surgical PICU. A total of 177 patients on opioid and/or benzodiazepine infusions for &gt;3 days were included; 75 patients pre protocol (June 2012– June 2013) were compared with 102 patients post implementation of a standardized weaning protocol of methadone and lorazepam (March 2014–March 2015). The recommended wean was based on duration of infusions of &gt;3 days up to 5 days (no wean), 5 to 13 days (short wean), and ≥14 days (long wean). RESULTS Median number of days on methadone for patients on opioid infusions for 5 to 13 days was reduced from 8.5 to 5.7 days (p = 0.001; n = 45 [pre], n = 68 [post]) and for patients on opioid infusions for ≥14 days, from 29.7 to 11.5 days (p = 0.003; n = 9 [pre], n = 9 [post]) after protocol implementation. The median number of days on lorazepam for patients on benzodiazepine infusions for 5 to 13 days was reduced from 8.1 to 5.2 days (p = 0.020; n = 43 [pre], n = 55 [post]) and for patients on benzodiazepine infusions for ≥14 days, from 27.4 to 9.3 days (p = 0.011; n = 9 [pre], n = 8 [post]). There was no difference in methadone or lorazepam wean length for patients on 3 to 5 days of infusions. There was no difference in adverse events or hospital length of stay. CONCLUSIONS A methadone and lorazepam weaning protocol based on patient's exposure to opioids and benzodiazepines (dose and duration) reduces weaning length.

scholarly journals Intravenous immunoglobulin-based adjuvant therapy for severe COVID-19: a single-center retrospective cohort study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Xiao Hou ◽  
Li Tian ◽  
Lei Zhou ◽  
Xinhua Jia ◽  
Li Kong ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Cohort Study ◽  
Adjuvant Therapy ◽  
Hospital Mortality ◽  
Hospital Stay ◽  
Intravenous Immunoglobulin ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Length Of Hospital Stay ◽  
Single Center

Abstract Objective Coronavirus disease 2019 (COVID-19) is a major challenge facing the world. Certain guidelines issued by National Health Commission of the People's Repubilic of China recommend intravenous immunoglobulin (IVIG) for adjuvant treatment of COVID-19. However, there is a lack of clinical evidence to support the use of IVIG. Methods This single-center retrospective cohort study included all adult patients with laboratory-confirmed severe COVID-19 in the Respiratory and Critical Care Unit of Dabie Mountain Regional Medical Center, China. Patient information, including demographic data, laboratory indicators, the use of glucocorticoids and IVIG, hospital mortality, the application of mechanical ventilation, and the length of hospital stay was collected. The primary outcome was the composite end point, including death and the use of mechanical ventilation. The secondary outcome was the length of hospital stay. Results Of the 285 patients with confirmed COVID-19, 113 severely ill patients were included in this study. Compared to the non-IVIG group, more patients in the IVIG group reached the composite end point [12 (25.5%) vs 5 (7.6%), P = 0.008] and had longer hospital stay periods [23.0 (19.0–31.0) vs 16.0 (13.8–22.0), P < 0.001]. After adjusting for confounding factors, differences in primary outcomes between the two groups were not statistically significant (P = 0.167), however, patients in the IVIG group had longer hospital stay periods (P = 0.041). Conclusion Adjuvant therapy with IVIG did not improve in-hospital mortality rates or the need for mechanical ventilation in severe COVID-19 patients. Our study does not support the use of immunoglobulin in patients with severe COVID-19 patients.

scholarly journals P-OGC74 Effect of pre-operative anaemia on short-term outcomes following oesophagectomy: a 10-year retrospective cohort study

2021 ◽  
Vol 108 (Supplement_9) ◽  
Author(s):  
Siobhan Chien ◽  
Khurram Khan ◽  
Lewis Gall ◽  
Liam Deboys ◽  
Carol Craig ◽  
...  
Keyword(s):  
Cohort Study ◽  
Blood Transfusion ◽  
Hospital Stay ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Length Of Hospital Stay ◽  
Short Term ◽  
Operative Complications ◽  
The Impact ◽  
Post Operative Complications

Abstract Background Pre-operative anaemia is associated with increased length of hospital stay, requirement for allogenic blood transfusion, post-operative complications and mortality. Oesophagectomy is a complex procedure associated with significant physiological insult, thus pre-operative patient optimisation is imperative to improve clinical outcomes. This study aimed to determine the impact of pre-operative anaemia on short-term outcomes following oesophagectomy for benign and malignant disease.  Methods A retrospective cohort study of all oesophagectomies performed in a single tertiary referral centre between 1 January 2010 and 31 December 2019 was performed. Patients were identified from a prospectively collected database and individual patient electronic records were interrogated. Patients were dichotomised into two groups, based on the most recent pre-operative haemoglobin. Patients with pre-operative anaemia (haemoglobin &lt;130mg/L in males and &lt;120mg/L in females) were compared to those without pre-operative anaemia. Patients with missing data were excluded from the study. Patients were followed up for a median of 32 months (IQR 18-66). Results Of 352 patients eligible for inclusion, 173 (49.1%) patients were anaemic immediately pre-operatively. Patients with pre-operative anaemia were older (66 vs. 64 years, p = 0.031), with a lower anaerobic threshold (11.7 vs. 12.3ml/min/kg, p = 0.011), and were significantly more likely to have undergone neoadjuvant chemotherapy (91.3% vs. 78.8%, p &lt; 0.001). Patient comorbidities and disease-related characteristics were similar between the two groups. Patients with pre-operative anaemia were significantly more likely to require post-operative blood transfusion (34.7% vs. 16.8%; p &lt; 0.001). However, pre-operative anaemia was not associated with increased post-operative complications, intensive care admission, length of hospital stay, or 30- and 90-day mortality rates following oesophagectomy. Conclusions Patients with anaemia immediately prior to undergoing an oesophagectomy were significantly more likely to require post-operative blood transfusion. However, pre-operative anaemia was not associated with an increased rate of post-operative morbidity or mortality. In addition, pre-operative iron transfusion is becoming increasingly utilised to minimise the incidence of pre-operative anaemia: this was not analysed in this study.

scholarly journals LACK OF ASSOCIATION BETWEEN CONVALESCENT PLASMA ADMINISTRATION AND LENGTH OF HOSPITAL STAY: A HOSPITAL-DAY STRATIFIED MULTI-CENTER RETROSPECTIVE COHORT STUDY

2021 ◽  
Author(s):  
Joy Alamgir ◽  
Ruhul Abid ◽  
Brian T Garibaldi ◽  
Naved Munir ◽  
Soko Setoguchi ◽  
...  
Keyword(s):  
Cohort Study ◽  
Hospital Stay ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Length Of Hospital Stay ◽  
The United States ◽  
Competing Risk ◽  
Survival Models ◽  
Hospital Death ◽  
Cox's Regression

Background: Effects of timing of Convalescent plasma (CP) administration on hospitalized COVID-19 patients are not established. Methods: We used the National COVID Cohort Collaborative data to perform a retrospective cohort study of hospitalized COVID-19 patients in the United States between 07-01-2020 and 12-19-2020. We stratified patients based on day of CP administration (Day 0, 1, 2, 3 and 4) from COVID-19 diagnosis. We used 35 predictors to frame matched cohorts accounting for clinical and sociodemographic characteristics. We used competing risk survival models to examine the association between CP administration and length of hospital stay with in-hospital death as a competing risk performing Gray's test on the cumulative incidence function and Cox's regression on cause specific hazard ratios. Results: In a cohort of 4,003 hospitalized COVID-19 patients, 197 (4.9%) received CP within the first 5 days following COVID-19 diagnosis. After adjusting for potential confounding variables, there were no statistically significant associations between day of CP administration and length of hospital stay. Day 0 CP administration signallled lower mortality but was not statistically significant (HR 0.45 [0.19-1.03]). Conclusions: We found no association between the timing of CP administration and length of stay among hospitalized COVID-19 patients.

scholarly journals Length of hospital stay after hip fracture and risk of early mortality after discharge in New York state: retrospective cohort study

BMJ ◽  
2015 ◽  
pp. h6246 ◽  
Author(s):  
Lucas E Nikkel ◽  
Stephen L Kates ◽  
Michael Schreck ◽  
Michael Maceroli ◽  
Bilal Mahmood ◽  
...  
Keyword(s):  
New York ◽  
Cohort Study ◽  
Hip Fracture ◽  
Hospital Stay ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
New York State ◽  
Length Of Hospital Stay ◽  
Early Mortality ◽  
York State
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