ASSESSMENT OF CLINICAL OUTCOME AND THEIR RISK FACTORS IN PATIENTS WITH STROKE

2021 ◽  
pp. 160-163
Author(s):  
Dhanya Mary Louis ◽  
Haripriya P. S. ◽  
Sujit Kumar Sah ◽  
Siddartha N Dhurappanavar
Keyword(s):  
Risk Factors ◽  
Clinical Outcome ◽  
Hospital Stay ◽  
Clinical Outcomes ◽  
Muscle Power ◽  
Tertiary Care ◽  
Length Of Hospital Stay ◽  
Stroke Patients ◽  
Prescribing Pattern ◽  
Factors Affecting

Globally, stroke is the second leading cause of mortality and disability. In india, 619000 in 9.4 million deaths were due to stroke. There is paucity of information regarding the factors affecting clinical outcome in stroke patients. This study aims to assess the risk factors associated with clinical outcomes in patients with stroke. A prospective observational study was conducted in neurology unit of a tertiary care teaching hospital with a total of 80 patients over a period of six months. During the study period, the subjects were followed till discharge to assesss the prescribing pattern and clinical outcomes. The clinical outcomes were assessed using modied ranking scale (mRS), Glasgow coma scale (GCS) and muscle power grading scale (MRC). Among the study subjects, 48(60%) were male, 40(50%) were aged 60 years and above. Patients received an average of 10.38 drugs during hospital stay, in which 77 (96.25) were prescribed with atorvastatin and 35(43.75%) with heparin. A combination of aspirin-clopidogrel was received by 70(87.5%). Total of 49(61.25%) patients had a good clinical outcome at the time of discharge. Mortality rate during hospitalization was foud to be 5%. The study concludes that factors such as age of 60 years and above, family history, polypharmacy, co-morbidities and length of hospital stay contribute to a negative clinical outcome in stroke patients.

scholarly journals Potential drug-drug interactions among elderly in-patients with cardiac illness at a tertiary care centre

2020 ◽  
Vol 9 (3) ◽  
pp. 470
Author(s):  
Akanksha Mathur ◽  
Nidhi Jain ◽  
Achal Sharma ◽  
Prashant C. Shah
Keyword(s):  
Risk Factors ◽  
Drug Interactions ◽  
Hospital Stay ◽  
Pearson Correlation ◽  
Tertiary Care ◽  
Length Of Hospital Stay ◽  
Hospitalized Patients ◽  
Close Monitoring ◽  
Potential Drug ◽  
Cardiac Illness

Background: Drug interactions are major cause of concern in hospitalized patients with cardiac illness especially in elderly population. Therefore, the study was conducted to determine the prevalence and pattern of potential drug-drug interactions (pDDI) and risk factors, if any.Methods: It was a prospective observational study involving 75 elderly in-patients with cardiac diseases. IHEC approval was taken before commencement of study and written informed consent was taken from all the study participants. Data was collected using structured data collection tool. pDDI were analyzed using MEDSCAPE databse. Data was analyzed using SPSS 20.0 in terms of descriptive statistics. Pearson correlation coefficient was used to find the association between the risk factors and potential DDIs. P value of ≤0.05 was considered statistically significant.Results: The prevalence of pDDI was found to be 100%. Total 593 pDDI and 33 interacting drug pairs were observed in the study. The common drug interacting pairs were aspirin and furosemide 140 (23.61%), followed by aspirin+ enalapril 98 (16.53%) and heparin and clopidogrel 56 (9.44%). Majority of pDDI 480 (81%) were found to be of moderate severity. A significant association was documented between length of hospital stay (p=0.041) and occurrence of pDDI. A statistically significant correlation (r =0.621; p<0.01) was noted between number of drugs prescribed and total number of pDDIs.Conclusions: A high prevalence of pDDI was observed. The prevalence rate is directly related to number of drugs prescribed and length of hospital stay. Therefore, close monitoring of hospitalized patients is recommended.

scholarly journals A Hospital based cross sectional study to find out factors associated with disease severity and length of hospital stay in COVID-19 patients in Tertiary Care Hospital of Ahmedabad city

2021 ◽  
Vol 33 (2) ◽  
pp. 256-259
Author(s):  
Arpit Chelabhai Prajapati ◽  
Mansi Maulik Patel ◽  
Hardika Jamanadas Khanpara ◽  
Rujul Pankajbhai Shukla ◽  
Donald Shailendra Christian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Stay ◽  
Disease Severity ◽  
Tertiary Care Hospital ◽  
Heart Diseases ◽  
Tertiary Care ◽  
Length Of Hospital Stay ◽  
Care Hospital ◽  
Factors Associated ◽  
High Dependency

Background: Tertiary hospital care may vary from isolation bed ward care to high dependency units (HDUs) with oxygen support to intensive care unit (ICU) where patients may be intubated for mechanical ventilation The major risk factors for severe disease are age more than 60 years and underlying diseases like diabetes, hypertension. COVID-19 patients present at varying levels of severity. Understanding how long patients hospitalized with COVID-19 remain in hospital is critical for planning. Objectives: 1. To determine risk factors associated with disease severity 2. To determine risk factors associated with length of hospital stay in COVID-19 patients 3. To study the disease outcome Material & Methods: This was retrospective record-based study of inpatients with COVID-19 at Tertiary Care Hospital of Ahmedabad City. All patients admitted at tertiary care hospital diagnosed with COVID-19 between April 2020 to June, 2020, were included in present study. Inclusion criteria were all COVID-19 patients admitted at tertiary care hospital during the duration of April 2020 to June 2020. Results: A total of 916 COVID-19 patients were included in the study. Out of 916 total admitted patients 526 (57.4%) were male. 174 (19%) patients having one or more comorbidities like diabetes, hypertension, tuberculosis, heart diseases etc. Total 769 discharged (83.9%), 115 deaths (12.6%) and 32 transferred to other COVID-19 hospital (3.5%) out of total 916 patients admitted during study period. Conclusion: Severity of disease and deaths were associated with age and comorbidities. COVID-19 patients with comorbidities have more deteriorating outcomes compared with patients without.

Assessing frailty index and correlation with crp and serum albumin and clinical outcome in terms of length of hospital stay

2021 ◽  
Vol 8 (1) ◽  
pp. 15-21
Author(s):  
Shilpa Avarebeel ◽  
Akash Durgakar ◽  
Pratibha Pereira ◽  
Tandure Varsha ◽  
Mahesh Poojari ◽  
...  
Keyword(s):  
Clinical Outcome ◽  
Elderly Patients ◽  
Serum Albumin ◽  
Hospital Stay ◽  
Frailty Index ◽  
Tertiary Care ◽  
Age Groups ◽  
Length Of Hospital Stay ◽  
Care Hospital ◽  
Cross Sectional

Frailty is defined as “a clinically recognizable state of increased vulnerability, resulting from aging associated decline in reserve and function across multiple A Hospital based descriptive cross-sectional study in tertiary care hospital. Atotal of 294 patients admitted in the Medicine/Geriatric Ward, were included in stressors is compromised”. It is a robust and powerful risk factor for disability. With this background, study was conducted at a tertiary centre with objectives to assess the frailty in elderly patients and to assess the correlation of frailty with Serum Albumin and CRP physiologic systems, such that the ability to cope with every day or acute and evaluate the clinical outcome in terms of length of hospital stay. The study. Demographic details and details of known comorbidities were recorded. Cognition score of all patients were assessed using mini mental scale examination. Investigations like Serum Albumin and CRP were done. The data was analyzed using statistical software.Our results show that in hospitalized patients frailty is seen in both gender. The presence of co-morbidities worsens the frailty. 30 second chair test is very good indicator for frailty and risk of fall and we observed reduced duration in the Pre-Frail group. The cognition score decreased along with the increase in age groups. When compared with the Frailty index, it was more in the Pre-Frail group. The duration of hospital stay was more in Frail group. The mean serum albumin level is important marker to identify early frailty.Assessment of frailty in elderly patients is necessary and identifying Pre-Frailgroup is very important. 30 second chair stand test and serum albumin are very important early markers in the assessment of frailty. Cognitive function is also very important to identify early frailty. Our study shows that the length of hospital stay is more in the Frail group. Frailty is important aspect of elderly. It should be included in routine clinical assessment of all elderly patients.

scholarly journals Hungry Bone Syndrome (HBS) in Patients Operated for Primary Hyperparathyroidism (PHPT): A Six-Year Experience

2018 ◽  
Vol 32 (2) ◽  
pp. 11-16
Author(s):  
Rhoda Zyra M. Padilla-Baraoidan ◽  
Maria Jocelyn Capuli-Isidro ◽  
Beinjerinck Ivan B. Cudal ◽  
Ayezl A. Embestro-Pontillas
Keyword(s):  
Risk Factors ◽  
Primary Hyperparathyroidism ◽  
Hospital Stay ◽  
Tertiary Care ◽  
Photon Emission ◽  
Length Of Hospital Stay ◽  
The Philippines ◽  
Emission Computed Tomography ◽  
Hungry Bone Syndrome ◽  
Hungry Bone

Objective:      To review cases of adult patients who develop Hungry Bone Syndrome (HBS) after parathyroidectomy for Primary Hyperparathyroidism (PHPT) in a tertiary care center in the Philippines and describe the clinical features, pre-operative preventive measures done, and risk factors for HBS. Methods: Study Design:            Retrospective case note review Setting:                       Tertiary Private Hospital Participants:              Chart review of adult Filipino patients who underwent parathyroidectomy for PHPT at Makati Medical Center from January 2011 to December 2016 was conducted and evaluated according to the inclusion and exclusion criteria. Medical information obtained included clinical parameters, biochemical results, operation performed, pathology, length of hospital stay and complications if with any. Results:          From among 20 adult Filipino patients (mean age 55 years; 13, 65% female) who underwent parathyroidectomy for PHPT, HBS was found in 7 (35%). Most common pre-operative symptoms of hypercalcemia were musculoskeletal complaints. To prevent HBS, all were hydrated prior to surgery, while some were given bisphosphonates and diuretics. The most common parathyroid gland imaging used for pre-procedure localization was Tc 99m Sestamibi scan with single photon emission computed tomography (SPECT) and 19 (95%) had parathyroid adenoma on post-operative histopathologic report. Among biochemical and clinical factors that may be risk factors for HBS, those with HBS had significantly lower pre-operative 25-hydroxyvitamin D, higher BUN, phosphate and alkaline phosphatase (ALP) than those without HBS. Of these, only ALP showed significant association with HBS (OR = 107.17, p = <0.0001). Length of hospital stay was longer among those with HBS, although not statistically significant. Conclusion:    Knowledge on post-parathyroidectomy HBS for PHPT may aid clinicians on pre-operative prevention and post-operative monitoring. Thirty-five percent (7) of our patients presented with HBS post-parathyroidectomy for PHPT from 2011 to 2016. An abnormal ALP level pre-operatively may be a risk factor in developing HBS post-parathyroidectomy for PHPT. Keywords: primary hyperparathyroidism, hungry bone syndrome, Philippines

Indications and practice of enteral nutrition

2014 ◽  
Vol 155 (51) ◽  
pp. 2028-2033 ◽  
Author(s):  
Judit Hallay ◽  
Dániel Nagy ◽  
Béla Fülesdi
Keyword(s):  
Risk Factors ◽  
Treatment Outcome ◽  
Enteral Nutrition ◽  
Hospital Stay ◽  
Length Of Hospital Stay ◽  
Nutrition Therapy ◽  
Present Review ◽  
Hospitalised Patients ◽  
Impact On Treatment ◽  
Efficacy Of Treatment

Malnutrition in hospitalised patients has a significant and disadvantageous impact on treatment outcome. If possible, enteral nutrition with an energy/protein-balanced nutrient should be preferred depending on the patient’s condition, type of illness and risk factors. The aim of the nutrition therapy is to increase the efficacy of treatment and shorten the length of hospital stay in order to ensure rapid rehabilitation. In the present review the authors summarize the most important clinical and practical aspects of enteral nutrition therapy. Orv. Hetil., 2014, 155(51), 2028–2033.

Prevalence, Correlates and Management of Hyperglycemia in Diabetic Non-critically Ill Patients at a Tertiary Care Center in Lebanon

2019 ◽  
Vol 15 (2) ◽  
pp. 133-140 ◽  
Author(s):  
Ghada El Khoury ◽  
Hanine Mansour ◽  
Wissam K. Kabbara ◽  
Nibal Chamoun ◽  
Nadim Atallah ◽  
...  
Keyword(s):  
Hospital Stay ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Care Center ◽  
Descriptive Analysis ◽  
Tertiary Care ◽  
Multivariable Analysis ◽  
Length Of Hospital Stay ◽  
Retrospective Chart Review ◽  
Diabetic Patients

Background: Diabetes Mellitus is a chronic metabolic disease that affects 387 million people around the world. Episodes of hyperglycemia in hospitalized diabetic patients are associated with poor clinical outcomes and increased morbidity and mortality. Therefore, prevention of hyperglycemia is critical to decrease the length of hospital stay and to reduce complications and readmissions. Objective: The study aims to examine the prevalence of hyperglycemia and assess the correlates and management of hyperglycemia in diabetic non-critically ill patients. Methods: The study was conducted on the medical wards of a tertiary care teaching hospital in Lebanon. A retrospective chart review was conducted from January 2014 until September 2015. Diabetic patients admitted to Internal Medicine floors were identified. Descriptive analysis was first carried out, followed by a multivariable analysis to study the correlates of hyperglycemia occurrence. Results: A total of 235 medical charts were reviewed. Seventy percent of participants suffered from hyperglycemia during their hospital stay. The identified significant positive correlates for inpatient hyperglycemia, were the use of insulin sliding scale alone (OR=16.438 ± 6.765-39.941, p=0.001) and the low frequency of glucose monitoring. Measuring glucose every 8 hours (OR= 3.583 ± 1.506-8.524, p=0.004) and/or every 12 hours (OR=7.647 ± 0.704-79.231, p=0.0095) was associated with hyperglycemia. The major factor perceived by nurses as a barrier to successful hyperglycemia management was the lack of knowledge about appropriate insulin use (87.5%). Conclusion: Considerable mismanagement of hyperglycemia in diabetic non-critically ill patients exists; indicating a compelling need for the development and implementation of protocol-driven insulin order forms a comprehensive education plan on the appropriate use of insulin.

scholarly journals A Study of Factors Affecting the Length of Hospital Stay of COVID-19 Patients by Cox-Proportional Hazard Model in a South Indian Tertiary Care Hospital

2021 ◽  
Vol 12 ◽  
pp. 215013272110002
Author(s):  
Gayathri Thiruvengadam ◽  
Marappa Lakshmi ◽  
Ravanan Ramanujam
Keyword(s):  
Hospital Stay ◽  
Tertiary Care ◽  
Length Of Hospital Stay ◽  
Hazard Model ◽  
Cox Proportional Hazard Model ◽  
Care Hospital ◽  
Proportional Hazard ◽  
Proportional Hazard Model ◽  
Cox Proportional Hazard ◽  
South Indian

Background: The objective of the study was to identify the factors that alter the length of hospital stay of COVID-19 patients so we have an estimate of the duration of hospitalization of patients. To achieve this, we used a time to event analysis to arrive at factors that could alter the length of hospital stay, aiding in planning additional beds for any future rise in cases. Methods: Information about COVID-19 patients was collected between June and August 2020. The response variable was the time from admission to discharge of patients. Cox proportional hazard model was used to identify the factors that were associated with the length of hospital stay. Results: A total of 730 COVID-19 patients were included, of which 675 (92.5%) recovered and 55 (7.5%) were considered to be right-censored, that is, the patient died or was discharged against medical advice. The median length of hospital stay of COVID-19 patients who were hospitalized was found to be 7 days by the Kaplan Meier curve. The covariates that prolonged the length of hospital stay were found to be abnormalities in oxygen saturation (HR = 0.446, P < .001), neutrophil-lymphocyte ratio (HR = 0.742, P = .003), levels of D-dimer (HR = 0.60, P = .002), lactate dehydrogenase (HR = 0.717, P = .002), and ferritin (HR = 0.763, P = .037). Also, patients who had more than 2 chronic diseases had a significantly longer length of stay (HR = 0.586, P = .008) compared to those with no comorbidities. Conclusion: Factors that are associated with prolonged length of hospital stay of patients need to be considered in planning bed strength on a contingency basis.

Risk factors and clinical outcomes associated with blood culture contamination

2021 ◽  
pp. 1-7
Author(s):  
Justin M. Klucher ◽  
Kevin Davis ◽  
Mrinmayee Lakkad ◽  
Jacob T. Painter ◽  
Ryan K. Dare
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Blood Culture ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Tertiary Care ◽  
Blood Cultures ◽  
Hospital Charges ◽  
Patient Specific ◽  
Contaminated Blood

Abstract Objective: To determine patient-specific risk factors and clinical outcomes associated with contaminated blood cultures. Design: A single-center, retrospective case-control risk factor and clinical outcome analysis performed on inpatients with blood cultures collected in the emergency department, 2014–2018. Patients with contaminated blood cultures (cases) were compared to patients with negative blood cultures (controls). Setting: A 509-bed tertiary-care university hospital. Methods: Risk factors independently associated with blood-culture contamination were determined using multivariable logistic regression. The impacts of contamination on clinical outcomes were assessed using linear regression, logistic regression, and generalized linear model with γ log link. Results: Of 13,782 blood cultures, 1,504 (10.9%) true positives were excluded, leaving 1,012 (7.3%) cases and 11,266 (81.7%) controls. The following factors were independently associated with blood-culture contamination: increasing age (adjusted odds ratio [aOR], 1.01; 95% confidence interval [CI], 1.01–1.01), black race (aOR, 1.32; 95% CI, 1.15–1.51), increased body mass index (BMI; aOR, 1.01; 95% CI, 1.00–1.02), chronic obstructive pulmonary disease (aOR, 1.16; 95% CI, 1.02–1.33), paralysis (aOR 1.64; 95% CI, 1.26–2.14) and sepsis plus shock (aOR, 1.26; 95% CI, 1.07–1.49). After controlling for age, race, BMI, and sepsis, blood-culture contamination increased length of stay (LOS; β = 1.24 ± 0.24; P < .0001), length of antibiotic treatment (LOT; β = 1.01 ± 0.20; P < .001), hospital charges (β = 0.22 ± 0.03; P < .0001), acute kidney injury (AKI; aOR, 1.60; 95% CI, 1.40–1.83), echocardiogram orders (aOR, 1.51; 95% CI, 1.30–1.75) and in-hospital mortality (aOR, 1.69; 95% CI, 1.31–2.16). Conclusions: These unique risk factors identify high-risk individuals for blood-culture contamination. After controlling for confounders, contamination significantly increased LOS, LOT, hospital charges, AKI, echocardiograms, and in-hospital mortality.

Sign in / Sign up

Export Citation Format

Share Document