Comparison of outcome and characteristics between 6343 COVID-19 patients and 2256 other community-acquired viral pneumonia patients admitted to Dutch ICUs

Purpose: Describe the differences in characteristics and outcomes between COVID-19 and other viral pneumonia patients admitted to Dutch ICUs. Materials and methods: Data from the National-Intensive-Care-Evaluation-registry of COVID-19 patients admitted between February 15th and January 1th 2021 and other viral pneumonia patients admitted between January 1st 2017 and January 1st 2020 were used. Patients' characteristics, the unadjusted, and adjusted in-hospital mortality were compared. Results: 6343 COVID-19 and 2256 other viral pneumonia patients from 79 ICUs were included. The COVID-19 patients included more male (71.3 vs 49.8%), had a higher Body-Mass-Index (28.1 vs 25.5), less comorbidities (42.2 vs 72.7%), and a prolonged hospital length of stay (19 vs 9 days). The COVID-19 patients had a significantly higher crude in-hospital mortality rate (Odds ratio (OR) = 1.80), after adjustment for patient characteristics and ICU occupancy rate the OR was respectively 3.62 and 3.58. Conclusion: Higher mortality among COVID-19 patients could not be explained by patient characteristics and higher ICU occupancy rates, indicating that COVID-19 is more severe compared to other viral pneumonia. Our findings confirm earlier warnings of a high need of ICU capacity and high mortality rates among relatively healthy COVID-19 patients as this may lead to a higher mental workload for the staff. (c) 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/)

Measuring quality indicators to improve pain management in critically ill patients

Intensive Car

Using Nursing Activities Score to Assess Nursing Workload on a Medium Care Unit

BACKGROUND: The medium care unit (MCU) or "stepdown" unit is an increasingly important, but understudied care environment. With an aging population and more patients with complex multiple diseases, many patients often require a higher level of inpatient care even when full intensive care is not indicated. However, the nurse-to-patient ratio required on a MCU is neither well defined nor clear whether this ratio should be adjusted per shift. The Nursing Activities Score (NAS) is an effective instrument for measuring nursing workload in the intensive care unit (ICU) but has not been used in an MCU. The aim of this study was to measure the nursing workload per 8-hour shift on an MCU using the NAS and compare it with the NAS from an ICU in the same hospital. We also compared the NAS between groups of patients with different admission sources. METHODS: The NAS was prospectively measured per patient per shift for 2 months in a 9-bed tertiary referral university hospital MCU and during a similar period in an ICU in the same hospital. RESULTS: The mean NAS per patient did not differ between day (7:30 am to 4:00 pm) and evening (3:00 pm to 11:30 pm) shifts, but the NAS was significantly lower during the night shift (11:00 pm to 8:00 am) than during the day (P < 0.0001) and evening (P < 0.0001) shifts. The mean NASs in the ICU for day and night shifts were significantly lower than the scores in the MCU (P = 0.0056 and P < 0.0001, respectively), but NAS during the evening shift did not differ between the ICU and the MCU. The mean NAS for patients admitted to the MCU from the accident and emergency department was significantly higher than for those admitted from the ICU (P = 0.002), recovery (P = 0.002), and general ward (P < 0.0001). Patients on the MCU had a NAS comparable with that of ICU patients. CONCLUSIONS: In our university hospital, NAS was higher during the day and evening hours and lower at night. We also found that patients from accident and emergency had a higher NAS than those admitted to the MCU from other locations. NAS in the MCU was not lower than the NAS in the ICU. Because of its ability to discriminate between day and evening workloads and between patients from different sources, the NAS may assist MCU managers in assessing staffing needs. (Anesth Analg 2015;121:1274-80

Increased melanin concentrating hormone receptor type I in the human hypothalamic infundibular nucleus in cachexia.

Melanin-concentrating hormone (MCH) exerts a positive regulation on appetite and binds to the G protein-coupled receptors, MCH1R and MCH2R. In rodents, MCH is produced by neurons in the lateral hypothalamus with projections to various hypothalamic and other brain sites. In the present study, MCH1R was shown, by immunocytochemistry, to be present in the human infundibular nucleus/median eminence, paraventricular nucleus, lateral hypothalamic area, and perifornical area, although in the latter two regions, only a few MCH1R-containing cells were found. In addition, MCH1R staining was found in nerve fibers in the periventricular nucleus, dorsomedial and ventromedial nucleus, suprachiasmatic nucleus, and tuberomammillary nucleus. A significant 1.6 times increase in the number of MCH1R cell body staining was found in the infundibular nucleus in postmortem brain material of cachectic patients, compared with matched controls, supporting a role for this receptor in energy homeostasis in the human.

Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

Background: The identification of risk factors for adverse outcomes and prolonged intensive care unit (ICU) stay in COVID-19 patients is essential for prognostication, determining treatment intensity, and resource allocation. Previous studies have determined risk factors on admission only, and included a limited number of predictors. Therefore, using data from the highly granular and multicenter Dutch Data Warehouse, we developed machine learning models to identify risk factors for ICU mortality, ventilator-free days and ICU-free days during the course of invasive mechanical ventilation (IMV) in COVID-19 patients. Methods: The DDW is a growing electronic health record database of critically ill COVID-19 patients in the Netherlands. All adult ICU patients on IMV were eligible for inclusion. Transfers, patients admitted for less than 24 h, and patients still admitted at time of data extraction were excluded. Predictors were selected based on the literature, and included medication dosage and fluid balance. Multiple algorithms were trained and validated on up to three sets of observations per patient on day 1, 7, and 14 using fivefold nested cross-validation, keeping observations from an individual patient in the same split. Results: A total of 1152 patients were included in the model. XGBoost models performed best for all outcomes and were used to calculate predictor importance. Using Shapley additive explanations (SHAP), age was the most important demographic risk factor for the outcomes upon start of IMV and throughout its course. The relative probability of death across age values is visualized in Partial Dependence Plots (PDPs), with an increase starting at 54 years. Besides age, acidaemia, low P/F-ratios and high driving pressures demonstrated a higher probability of death. The PDP for driving pressure showed a relative probability increase starting at 12 cmH2O. Conclusion: Age is the most important demographic risk factor of ICU mortality, ICU-free days and ventilator-free days throughout the course of invasive mechanical ventilation in critically ill COVID-19 patients. pH, P/F ratio, and driving pressure should be monitored closely over the course of mechanical ventilation as risk factors predictive of these outcomes