scholarly journals Trends of vasopressor use in intensive care units in Colombia

2021 ◽  
Author(s):  
Andrés Gaviria-Mendoza ◽  
Jorge Enrique Machado-Alba ◽  
Juan Felipe Benítez-Mejía ◽  
Santiago Correa-Ruiz ◽  
Juan Sebastián Restrepo-López ◽  
...  
Keyword(s):  
Intensive Care ◽  
Health System ◽  
Intensive Care Units ◽  
Hospitalized Patients ◽  
Population Database ◽  
Observational Trial ◽  
The Mean ◽  
Vasopressor Use

Introduction: Vasopressors are essential in the management of various types of shock. Objective: To establish the trend of vasopressors use in the intensive care units (ICU) in a population of patients affiliated with the Colombian Health System, 2010-2017. Methods: Observational trial using a population database of patients hospitalized in eleven ICUs in various cities in Colombia. The drugs dispensed to hospitalized patients over 18 years old, from January 2010 until December 2017 were considered. A review and analysis of the vasopressors dispensed per month was conducted, taking into account sociodemographic and pharmacological variables (vasopressor used and daily doses defined per 100/beds/day (DBD). Results: 81,348 dispensations of vasopressors, equivalent to 26,414 treatments in 19,186 patients receiving care in 11 hospitals from 7 cities were reviewed. The mean age of patients was 66.3±18.1 years and 52.6 % were males. Of the total number of treatments recorded, 17,658 (66.8 %) were with just one vasopressor. Norepinephrine was the most frequently prescribed drug (75.9 % of the prescriptions dispensed; 60.5 DBD), followed by adrenaline (26.6 %; 41.6 DBD), dopamine (19.4%), dobutamine (16.0 %), vasopressin (8.5 %) and phenylephrine (0.9 %). The use of norepinephrine increased from 2010 to 2017 (+6.19 DBD), whilst the use of other drugs decreased, particularly the use of adrenaline (-60.6 DBD) and dopamine (-10.8 DBD). Conclusions: Norepinephrine is the most widely used vasopressor showing a growing trend in terms of its use during the study period, which is supported by evidence in favor of its effectiveness and safety in patients with shock.

scholarly journals Drug Interactions Among Hospitalized Patients in Intensive Care Units and Infectious Ward, Hamadan, Iran

2018 ◽  
Vol 5 (3) ◽  
pp. 46-51
Author(s):  
Sara Ataei ◽  
Mohammad Jabbari ◽  
Maryam Mehrpooya ◽  
Abbas Taher ◽  
Jalal Poorolajal ◽  
...  
Keyword(s):  
Intensive Care ◽  
Drug Interactions ◽  
Intensive Care Units ◽  
Hospitalized Patients

The prevalence of potentially beneficial and harmful drug-drug interactions in intensive care units

2019 ◽  
Vol 34 (1) ◽  
Author(s):  
Hossein Ali Mehralian ◽  
Jafar Moghaddasi ◽  
Hossein Rafiei
Keyword(s):  
Intensive Care ◽  
Drug Interaction ◽  
Drug Interactions ◽  
Intensive Care Units ◽  
Medical Records ◽  
Potential Ddis ◽  
Cross Sectional ◽  
Text Book ◽  
The Mean ◽  
Potential Interactions

Abstract Background The present study was conducted with the aim of investigating the prevalence of potentially beneficial and harmful drug-drug interactions (DDIs) in intensive care units (ICUs). Methods The present cross-sectional prospective study was conducted in two ICUs in Shahr-e Kord city, Iran. The study sample was consisted of 300 patients. The Drug Interaction Facts reference text book [Tatro DS. Drug interaction facts. St Louis, MO: Walters Kluwer Health, 2010.] was used to determine the type and the frequency of the DDIs. Results The participants consisted of 189 patients men and 111 women. The mean age of patients was 44.2 ± 24.6 years. Totally, 60.5% of patients had at least one drug-drug interaction in their profile. The total number of DDIs found was 663 (the mean of the total number of drug-drug interactions was 2.4 interactions per patient). Of all the 663 interactions, 574 were harmful and others were beneficial. In terms of starting time, 98 of the potential interactions were rapid and 565 of them were delayed. In terms of severity, 511 of the potential interactions were moderate. Some of the drugs in the patients’ medical records including phenytoin, dopamine, ranitidine, corticosteroid, dopamine, heparin, midazolam, aspirin, magnesium, calcium gluconate, and antibiotics, the type of ventilation, the type of nutrition and the duration of hospital stay were among the factors that were associated with high risk of potential DDIs (p < 0.05). Conclusions The prevalence of potentially beneficial and harmful DDIs, especially harmful drug-drug interactions, is high in ICUs and it is necessary to reduce these interactions by implementing appropriate programs and interventions.

scholarly journals Impact of garlic tablets on nosocomial infections in hospitalized patients in intensive care units

10.19082/4064 ◽  
2017 ◽  
Vol 9 (4) ◽  
pp. 4064-4071
Author(s):  
Hossein Madineh ◽  
Farrokh Yadollahi ◽  
Farshad Yadollahi ◽  
Ebrahim Pouria Mofrad ◽  
Majid Kabiri
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Nosocomial Infections ◽  
Hospitalized Patients

scholarly journals Effect of Evidence-Based Nursing Care Guidelines on the Quality of Care of Patients in Neurosurgical Intensive Care Units

2020 ◽  
Vol 24 (1) ◽  
pp. 56-67
Author(s):  
Zahra Tayebi Myaneh ◽  
◽  
Maryam Azadi ◽  
Seyedeh Zahra Hosseinigolafshani ◽  
Farnoosh Rashvand ◽  
...  
Keyword(s):  
Intensive Care ◽  
Quality Of Care ◽  
Intensive Care Units ◽  
Nursing Care ◽  
Evidence Based ◽  
Neurosurgical Intensive Care ◽  
Care Guidelines ◽  
The Mean ◽  
Evidence Based Nursing

Background: Evidence-based nursing care guidelines are important tools for increasing the quality of nurses’ clinical work. Objective: The aim of this study was to investigate the effect of implementing evidence-based nursing care guidelines on the quality of care of patients admitted to the Neurosurgical Intensive Care Units (NICUs). Methods: This is a quasi-experimental study on 54 nurses in NICUs of hospitals affiliated to Qazvin University of Medical Sciences selected using a convenience sampling technique and divided into two groups of intervention and control. The intervention included the teaching of evidence-based nursing guidelines and their implementation by the nurses. Before and two months after the intervention, the demographic characteristics and the quality of nurses’ patient care in both groups was evaluated by using a demographic form and a standard checklist with 37 items designed based on the standards of practice for All Registered Nurses (ANA). Data were analyzed in SPSS software using descriptive statistics (Mean±SD), and paired t-test, independent t-test and chi-square test. Findings: The mean score of nursing care quality in the two groups was not significantly different before intervention (P>0.05). After intervention, the mean score was 25.11±6.2 in the intervention group and 20.29±5.3 in the control group, and the difference was statistically significant (P<0.05). Conclusion: Implementation of evidence-based nursing care guidelines can improve the quality of nursing care. Therefore, it is recommended that the teaching of evidence-based nursing care guidelines should be on the agenda of the hospitals’ education unit and related departments.

scholarly journals Perception of the Futile Care and its Relationship With Moral Distress in Nurses of Intensive Care Units

2021 ◽  
Vol 31 (2) ◽  
pp. 85-92
Author(s):  
Somayeh Moaddaby ◽  
◽  
Masoomeh Adib ◽  
Sadra Ashrafi ◽  
Ehsan Kazemnezhad Leili ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Intensive Care ◽  
Regression Model ◽  
Intensive Care Units ◽  
Work Experience ◽  
Logistic Regression Model ◽  
Moral Distress ◽  
Cross Sectional ◽  
Futile Care ◽  
The Mean

Introduction: The development of science and technology has provided more opportunities for patients to live and even receiving futile medical care or treatment with no hope of recovery. This process leads to awkward experiences and moral distress in nurses who frequently deliver with such care. Objective: This study aimed to determine the perception of futile care and its relationship with moral distress in nurses working in intensive care units Materials and Methods: This is a cross-sectional study conducted on 155 nurses working in Intensive Care Units (ICUs) employed in educational-therapeutic centers and hospitals of Guilan Province, Iran. They were selected by convenience sampling method. The study data were collected using the researcher-made questionnaire and Corley moral distress questionnaire. The obtained data were analyzed using descriptive statistics and inferential statistics the Kolmogorov-Smirnov test, nonparametric Mann-Whitney U, Kruskal-Wallis, Fisher exact and Backward logistic regression model. Results: The mean±SD age of the samples was 34.71±6.68 years; their mean±SD work experience was 10.24±5.63 years, and the mean±SD work experience in the ICU was 6.76±4.64 years. The results indicated that their mean±SD perception of futile care was 63±7, and their mean±SD moral distress was 92±54. The score of moral distress showed a low but significant and positive correlation with the legal and organizational aspects of futile care (r=0. 279, P=0.001) and the total score of perception futile care (r=0.2, P=0.012). In the multivariate analysis based on the logistic regression model of futile care, only the relationship between the legal and organizational score in care had a significant relationship with moral distress. So that by increasing one unit in the legal and organizational aspect of care, the chances of scoring above the mean of moral distress increases 1.2 times (P=0.0001, 95% CI; 1.077-1.324). Conclusion: Perhaps by familiarizing nurses with the legal and organizational nature of patient’s care, the moral distress of caring can be reduced.

scholarly journals How high and long will the COVID-19 wave be? A data-driven approach to model and predict the COVID-19 epidemic and the required capacity for the German health system

2020 ◽  
Author(s):  
Thomas Klabunde ◽  
Clemens Giegerich
Keyword(s):  
Growth Rate ◽  
Intensive Care ◽  
Health System ◽  
Intensive Care Units ◽  
Social Distancing ◽  
Hospital Capacity ◽  
German Health ◽  
The Social ◽  
Hospital Beds ◽  
The Impact

AbstractBackground and objectiveIn March 2020 the SARS-CoV-2 outbreak has been declared as global pandemic. Most countries have implemented numerous “social distancing” measures in order to limit its transmission and control the outbreak. This study aims to describe the impact of these control measures on the spread of the disease for Italy and Germany, forecast the epidemic trend of COVID-19 in both countries and estimate the medical capacity requirements in terms of hospital beds and intensive care units (ICUs) for optimal clinical treatment of severe and critical COVID-19 patients, for the Germany health system.MethodsWe used an exponential decline function to model the trajectory of the daily growth rate of infections in Italy and Germany. A linear regression of the logarithmic growth rate functions of different stages allowed to describe the impact of the “social distancing” measures leading to a faster decline of the growth rate in both countries. We used the linear model to predict the number of diagnosed and fatal COVID-19 cases from April 10th until May 31st. For Germany we estimated the required daily number of hospital beds and intensive care units (ICU) using clinical observations on the average lengths of a hospital stay for the severe and critical COVID-19 patients.ResultsAnalyzing the data from Germany and Italy allowed us to identify changes in the trajectory of the growth rate of infection most likely resulted from the various “social distancing” measures implemented. In Italy a stronger decline in the growth rate was observed around the week of March 17th, whereas for Germany the stronger decline occurred approximately a week later (the week of March 23rd). Under the assumption that the impact of the measures will last, the total size of the outbreak can be estimated to 155,000 cases in Germany (range 140,000-180,000) and to 185,000 cases in Italy (range 175,000-200,000). For Germany the total number of deaths until May 31st is calculated to 3,850 (range 3,500-4,450). Based on the projected number of new COVID-19 cases we expect that the hospital capacity requirements for severe and critical cases in Germany will decline from the 2nd week of April onwards from 13,500 to ∼2500 hospital beds (range 1500-4300) and from 2500 to ∼500 ICU beds in early May (range 300-800).ConclusionsThe modeling effort presented here provides a valuable framework to capture the impact of the “social distancing” measures on the COVID-19 epidemic in European countries and to forecast the future trend of daily COVID-19 cases. It provides a tool for medical authorities in Germany and other countries to help inform the required hospital capacity of the health care system. Germany appears to be in the middle of the (first) COVID-19 outbreak wave and the German health system is well prepared to handle it with the available capacities.

Sign in / Sign up

Export Citation Format

Share Document