scholarly journals Microbial findings and the role of difficult-to-treat pathogens in patients with periprosthetic infection admitted to the intensive care unit

2020 ◽  
Vol 12 (3) ◽  
Author(s):  
Christopher Ull ◽  
Emre Yilmaz ◽  
Hinnerk Baecker ◽  
Thomas Schildhauer ◽  
Christian Waydhas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Escherichia Coli ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Joint Infection ◽  
Candida Spp ◽  
Icu Stay ◽  
Tertiary Healthcare ◽  
Prolonged Icu Stay

Little is known about patients with Periprosthetic Joint Infection (PJI) admitted to the Intensive Care Unit (ICU). The purpose of this study was threefold: i) To report the microbiological findings of ICUpatients with PJI. ii) To compare the clinical data between Difficult-To-Treat (DTT) and non-DTT PJI. iii) To identify risk factors for mortality. This is a retrospective study from a tertiary healthcare center in Germany from 2012-2016. A total of 124 patients with 169 pathogens were included. The most common bacteria were Staphyloccous aureus (26.6%), Staphyloccus epidermidis (12.4%), Enterococci ssp. and Escherichia coli (respectively 9.4%). DTT PJI was diagnosed in 28 patients (22.6%). The main pathogens of DTT PJI were Staphylococus epidermidis (14.5%), Escherichia coli (12.7%), Staphylococcus aureus and Candida spp. (respectively 9.1%). Polymicrobial PJI, number of pathogens, ICU stay and mortality were significantly differrent between DTT PJI and non-DTT PJI (p≤0.05). Multivariate logistic regression identified prolonged ICU stay and DTT PJI as risk factors for mortality. In conclusion, we suggest, that the term of DTT pathogens is useful for the intensivist to assess the clinical outcome in ICU-patients with PJI.

scholarly journals Predictors of postoperative complication and prolonged intensive care unit stay after complete pericardiectomy in tuberculous constrictive pericarditis

2020 ◽  
Author(s):  
Likui Fang ◽  
Guocan Yu ◽  
Jinpeng Huang ◽  
Wuchen Zhao ◽  
Bo Ye
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Postoperative Complication ◽  
Constrictive Pericarditis ◽  
Functional Class ◽  
Cox Regression Analysis ◽  
Nyha Functional Class ◽  
Icu Stay ◽  
Prolonged Icu Stay

Abstract Purpose The risk factors of postoperative outcomes after pericardiectomy in tuberculous constrictive pericarditis have still been unclear. This study aimed to investigate the predictors of postoperative complication and prolonged intensive care unit (ICU) stay in the patients with tuberculous constrictive pericarditis undergoing pericardiectomy. Methods A total of 88 patients with tuberculous constrictive pericarditis undergoing pericardiectomy were retrospectively enrolled. Logistic regression and Cox regression analysis were performed to identify the predictors of postoperative complication and prolonged ICU stay, respectively. Results All patients underwent complete pericardiectomy and 35 (39.8%) had postoperative complications with no mortality within 30 days after surgery. Postoperative complication delayed postoperative ICU stay (P < 0.001), duration of chest drainage (P < 0.001) and postoperative hospital stay (P < 0.001). Preoperative NYHA functional class (P = 0.004, OR 4.051, 95%CI 1.558–10.533) and preoperative central venous pressure (CVP) (P = 0.031, OR 1.151, 95%CI 1.013–1.309) were independent risk factors of postoperative complication. Postoperative complication (P < 0.001, HR 4.132, 95%CI 2.217–7.692) was the independent risk factor for prolonged ICU stay. Conclusion Complete pericardiectomy was associated with high risk of postoperative complication in tuberculous constrictive pericarditis. Poor preoperative NYHA functional class and high preoperative CVP were shown to predict postoperative complication which was the predictor of prolonged ICU stay.

scholarly journals Factors influencing length of intensive care unit stay following a bidirectional cavopulmonary shunt

2021 ◽  
Author(s):  
Takashi Kido ◽  
Masamichi Ono ◽  
Lisa Anderl ◽  
Melchior Burri ◽  
Martina Strbad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Risk Factor ◽  
Intensive Care ◽  
Pulmonary Artery ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Icu Stay ◽  
Prolonged Icu Stay ◽  
Cavopulmonary Shunt

Abstract OBJECTIVES The goal of this study was to identify the risk factors for prolonged length of stay (LOS) in the intensive care unit (ICU) after a bidirectional cavopulmonary shunt (BCPS) procedure and its impact on the number of deaths. METHODS In total, 556 patients who underwent BCPS between January 1998 and December 2019 were included in the study. RESULTS Eighteen patients died while in the ICU, and 35 died after discharge from the ICU. Reduced ventricular function was significantly associated with death during the ICU stay (P = 0.002). In patients who were discharged alive from the ICU, LOS in the ICU [hazard ratio (HR) 1.04, 95% confidence interval (CI) 1.02–1.06; P &lt; 0.001] and a dominant right ventricle (HR 2.41, 95% CI 1.03–6.63; P = 0.04) were independent risk factors for death. Receiver operating characteristic analysis identified a cut-off value for length of ICU stay of 19 days. Mean pulmonary artery pressure (HR 1.03, 95% CI 1.01–1.05; P = 0.04) was a significant risk factor for a prolonged ICU stay. CONCLUSIONS Prolonged LOS in the ICU with a cut-off value of 19 days after BCPS was a significant risk factor for mortality. High pulmonary artery pressure at BCPS was a significant risk factor for a prolonged ICU stay.

scholarly journals Incidence of Delirium in Critically Ill Cancer Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Luis A. Sánchez-Hurtado ◽  
Nancy Hernández-Sánchez ◽  
Mario Del Moral-Armengol ◽  
Humberto Guevara-García ◽  
Francisco J. García-Guillén ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Cancer Patients ◽  
Critically Ill ◽  
Potential Risk ◽  
Assessment Method ◽  
Icu Stay ◽  
Potential Risk Factors

Objective. The aim of this study was to estimate the incidence of delirium and its risk factors among critically ill cancer patients in an intensive care unit (ICU). Materials and Methods. This is a prospective cohort study. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) was measured daily at morning to diagnose delirium by a physician. Delirium was diagnosed when the daily was positive during a patient’s ICU stay. All patients were followed until they were discharged from the ICU. Using logistic regression, we estimated potential risk factors for developing delirium. The primary outcome was the development of ICU delirium. Results. There were 109 patients included in the study. Patients had a mean age of 48.6 ± 18.07 years, and the main reason for admission to the ICU was septic shock (40.4%). The incidence of delirium was 22.9%. The mortality among all subjects was 15.6%; the mortality rate in patients who developed delirium was 12%. The only variable that had an association with the development of delirium in the ICU was the days of use of mechanical ventilation (OR: 1.06; CI 95%: 0.99–1.13;p=0.07). Conclusion. Delirium is a frequent condition in critically ill cancer patients admitted to the ICU. The duration in days of mechanical ventilation is potential risk factors for developing delirium during an ICU stay. Delirium was not associated with a higher rate of mortality in this group of patients.

scholarly journals Molecular detection and antibiotic resistance pattern of extended-spectrum beta-lactamase producing Escherichia coli in a Tertiary Hospital in Enugu, Nigeria

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Ifeyinwa N. Nwafia ◽  
Martin E. Ohanu ◽  
Samuel O. Ebede ◽  
Uchenna C. Ozumba
Keyword(s):  
Risk Factors ◽  
Escherichia Coli ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Intensive Care Unit Admission ◽  
Beta Lactamase ◽  
Extended Spectrum Beta Lactamase ◽  
E Coli ◽  
Extended Spectrum ◽  
Associated Risk Factors

Abstract Background The use of antibiotic agents in the treatment of infectious diseases has greatly contributed to the decrease in morbidity and mortality, but these great advances in treatment are being undermined by the rapidly increasing antimicrobial resistant organisms. Extended-spectrum beta-lactamases are enzymes hydrolyzing the beta lactam antibiotics, including third generation cephalosporins and monobactams but not cephamycins and carbapenems. They pose a serious global health threat and have become a challenge for health care providers. The aim of this research was to assess the prevalence of extended-spectrum beta-lactamase producing Escherichia coli in University of Nigeria Teaching Hospital Ituku-Ozalla Enugu and to detect the risk factors for acquisition of the resistant organism. To proffer advice on antibiotic stewardship in clinical practice and public health interventions, to curb the spread of the resistant organisms in the hospital. Results Out of the 200 E. coli isolates, 70 (35.00%) were confirmed positive for extended-spectrum beta-lactamase production. Fifty-three (75.7%) were from hospital acquired infections. All the isolates were resistant to ampicillin, tetracycline and chloramphenicol while 68 (97.14%) of the 70 isolates were susceptible to imipenem. BlaTEM, blaSHV and blaTEM were detected in 66 (94%) of the 70 isolates. The ESBL bla genes detected were blaCTX-M (n = 26; 37.14%), blaTEM (n = 7; 10.00%), blaSHV (n = 2; 2.86%), blaCTX-M/TEM (n = 7; 10.0%), blaCTX-M/SHV (n = 14; 20.0%) and blaCTX-M/TEM/SHV (n = 10; 14.29%). The three bla genes were not detected in 4 (5.71%) of the isolates. Recent surgery, previous antibiotic and intensive care unit admission were the associated risk factors to infections caused by extended-spectrum beta-lactamase producing E. coli. Conclusion There is a high rate of infections caused by extended-spectrum beta-lactamase producing E. coli. Recent surgery, previous antibiotic and intensive care unit admission were associated risk factors.

Safeguarding children in the Paediatric Intensive Care Unit

2020 ◽  
pp. 191-202
Author(s):  
Thomas D. Jerrom ◽  
Padmanabhan Ramnarayan
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Paediatric Intensive Care Unit ◽  
Shaken Baby Syndrome ◽  
Medical Professionals ◽  
Accidental Injury ◽  
Report Writing ◽  
Non Accidental Injury

Chapter 16 addresses the duties of medical professionals in safeguarding children. It covers the major types of child abuse and known risk factors. This chapter takes the readers through the assessment and management of a child suspected of having suffered non-accidental injury (NAI), including non-accidental brain injury. The features of specific subtypes of NAI are discussed, including ‘shaken baby syndrome’, spinal trauma, abdominal injuries, sexual abuse, and fabricated or induced illness. This chapter recommends a helpful list of investigations for suspected NAI. In addition, this chapter also addresses issues such as documentation, report-writing, and the role of the medic in court.

scholarly journals A Decision for Predicting Successful Extubation of Patients in Intensive Care Unit

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Chang-Shu Tu ◽  
Chih-Hao Chang ◽  
Shu-Chin Chang ◽  
Chung-Shu Lee ◽  
Ching-Ter Chang
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Medical Center ◽  
Minute Ventilation ◽  
Bootstrap Method ◽  
Academic Medical Center ◽  
Icu Stay ◽  
Rapid Shallow Breathing Index ◽  
Prolonged Icu Stay ◽  
Successful Extubation

Approximately 40% of patients admitted to the medical intensive care unit (ICU) require mechanical ventilation. An accurate prediction of successful extubation in patients is a key clinical problem in ICU due to the fact that the successful extubation is highly associated with prolonged ICU stay. The prolonged ICU stay is also associated with increasing cost and mortality rate in healthcare system. This study is retrospective in the aspect of ICU. Hence, a total of 41 patients were selected from the largest academic medical center in Taiwan. Our experimental results show that predicting successful rate of 87.8% is obtained from the proposed predicting function. Based on several types of statistics analysis, including logistic regression analysis, discriminant analysis, and bootstrap method, three major successful extubation predictors, namely, rapid shallow breathing index, respiratory rate, and minute ventilation, are revealed. The prediction of successful extubation function is proposed for patients, ICU, physicians, and hospital for reference.

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