2-year survival among elderly hospitalised for acute respiratory infection versus hip fracture: a useful comparison to raise awareness

Validation of the first computerized indicator for orthopaedic surgical site infections in France: ISO-ORTHO

BACKGROUND

The French national authority for health (HAS) develops in-hospital indicators for improving quality of care, safety and patient outcome. Since 2017, it has developed a measurement of surgical site infections (SSI) after total hip or knee arthroplasty (TH/KA) by using a computerized indicator, called ISO-ORTHO, based on a hospital discharge database (HDD) algorithm. The aim of the study was to assess the performance of this new indicator .

METHODS

The ISO-ORTHO performance was estimated via its positive predictive value (PPV) among adult patients having undergone a TH/KA between January 1st and September 30th 2018, based on the orthopaedic procedure codes. Patients at very high risk of SSI and/or with SSI not related to the in-hospital care were excluded. SSI were detected from the date of admission up to 90 days after the TH/KA using the ISO-ORTHO algorithm, based on 15 combinations of ICD-10 and procedure codes. Its PPV was estimated by a chart review in volunteer healthcare organisations (HCO).

RESULTS

Over the study period, 777 HCO including 143,227 TH/KA stays were selected, providing 1,279 SSI according to the ISO-ORTHO indicator. The 90-day SSI rate was 0.89 per 100 TH/KA stays (0.98% for THA and 0.80% for TKA). Among the 448 HCO with at least 1 SSI, 250 HCO participated in reviewing 725 SSI charts; 665 were confirmed, giving a PPV of 90.3% [88.2-92.5%], 89.9% [87.1-92.8%] in THA and 90.9% [87.7-94.2%] in TKA.

CONCLUSIONS

The PPV of ISO-ORTHO over 90% confirms its validity for any use according to the HAS method. ISO-ORTHO and detailed information were provided in 2020 to HCO and used for quality assessment and in-hospital risk management.

Risk Factors Associated With Postoperative Pulmonary Infection in Elderly Patients With Hip Fracture: A Longitudinal Study

This study aimed to conduct a longitudinal study to explore the influencing factors of pulmonary infection in elderly patients with hip fracture after surgery, to provide evidence and reference for the early identification and nursing care of patients at high risk of postoperative pulmonary infection.A secondary analysis was conducted of electronic medical record data from elderly patients with hip fractures treated in a tertiary hospital from January 1, 2020 to June 30, 2021.A total of 526 patients were included. Age ≥70 years (odd ratio [OR] 2.042, 95% confidence interval [CI] [1.516-4.022]), history of smoking (OR 2.755, 95% CI [2.009-3.175]), time from fracture to operation ≥5 days (OR 3.117, 95% CI [1.925-3.911]), American Society of Anesthesiologists grade ≥II (OR 1.254, 95% CI [1.053-1.921]), chronic obstructive pulmonary disease (OR 2.832, 95% CI [1.775-3.808]), hypoproteinemia (OR 1.395, 95% CI [1.022-1.841]), red blood cell distribution width >15% (OR 3.142, 95% CI [2.104-4.172]), intensive care unit stay (OR 2.174, 95% CI [1.083-3.718]) and duration of mechanical ventilation ≥180 minutes (OR 3.117, 95% CI [2.199-4.807]) were the independent risk factors (all p < .05).Early nursing care should be taken for patients with risk factors to reduce the pulmonary infection.

Case fatality inequalities of critically ill COVID-19 patients according to patient-, hospital- and region-related factors: a French nationwide study

Background

The COVID-19 sanitary crisis inflicted different challenges regarding the reorganization of the human and logistic resources, particularly in intensive care unit (ICU). Interdependence between regional pandemic burden and individual outcome remains unknown. The study aimed to assess the association between ICU bed occupancy and case fatality rate of critically ill COVID-19 patients.

Methods

A cross-sectional study was performed in France, using the national hospital discharge database from March to May, 2020. All patients admitted to ICU for COVID-19 were included. Case fatality was described according to: (i) patient’s characteristics (age, sex, comorbid conditions, ICU interventions); (ii) hospital’s characteristics (baseline ICU experience assessed by the number of ICU stays in 2019, number of ICU physicians per bed), and (iii) the regional outbreak-related profiles (workload indicator based on ICU bed occupancy). The determinants of lethal outcome were identified using a logistic regression model.

Results

14,513 COVID-19 patients were admitted to ICU; 4256 died (29.3%), with important regional inequalities in case fatality (from 17.6 to 33.5%). Older age, multimorbidity and clinical severity were associated with higher mortality, as well as a lower baseline ICU experience of the health structure. Regions with more than 10 days with ≥ 75% of ICU occupancy by COVID-19 patients experienced an excess of mortality (up to adjusted OR = 2.2 [1.9–2.6] for region with the highest occupancy rate of ICU beds).

Conclusions

The regions with the highest burden of care in ICU were associated with up to 2.2-fold increase of death rate.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13613-021-00915-4.