Unveiling the Correlation Between Thyroid Dysfunction and Post-Surgical Septicemia in Geriatric Patients | Chapter 7 | Pharmaceutical Research - Recent Advances and Trends Vol. 3

Background and Aim: Sepsis is a life-threatening issue that happens when the body’s immune system has an extreme response to an infection, causing organ dysfunction. Critical illness and sepsis are difficult to treat with increasing age because of the poor adaptive physiological system as age progresses. The study tries to identify prognostic markers among thyroid hormones for post-surgical critically ill subjects, who have sepsis, to improve the outcome of patients with increasing age.

Methods: Post-surgical critically ill patients with sepsis were recruited in the study. Key features of the critically ill patient are severe respiratory, cardiovascular or neurological derangement, often in combination, reflected in abnormal physiological observations. Free triiodothyronine (FT3), free thyroxine (FT4) and thyroid stimulating hormone (TSH) were estimated by ARCHITECT immunoassay kits in 127 post-surgical critically ill patients with sepsis. Sequential Organ Failure Assessment (SOFA) score was recorded for each patient.

Results: The FT3, FT4 and TSH levels decreased and SOFA scores increased with increasing age. Thyroid markers were significantly inversely correlated with age (for FT4 r= -0.616, p<0.0001 and for TSH r= -0.453, p<0.0001), with the strongest correlation between FT3 and age (r=0.674, p<0.0001). A positive correlation was observed between SOFA score and age (r=0.577, p<0.0001). FT3 decreases SOFA and age increase from improved prognosis to worst prognosis (p<0.0001). The patients whose condition improved were mostly young as compared to the no change group, deteriorated group and expired group.

Conclusions: FT3 surfaced as a prominent prognostic marker that may be used in predicting the prognosis of post-surgical critically ill geriatric patients with sepsis.

 

Author (s) Details

 

Pallavi Rain
Department of Biochemistry, Santosh Medical College and Hospital, Santosh Deemed to be University, Ghaziabad, Uttar Pradesh, India.

Jyoti Batra
Department of Biochemistry, Santosh Medical College and Hospital, Santosh Deemed to be University, Ghaziabad, Uttar Pradesh, India.

 

Ankit Batra
Department of Orthopedics, School of Medical Sciences, Sharda University, Greater Noida, Uttar Pradesh, India.

 

Aarushi Batra
Medical Intern, LLRM Medical College, Meerut, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/prrat/v3/450

Impact of Heart Rate Variability on Anesthesia, Critical Care and Pain | Chapter 14 | New Advances in Medicine and Medical Science Vol. 3

 Heart rate instability (HRV), is the change in time break between consecutive heartbeats or bury-beat interval (IBI) on account of heart-brain interplays and dynamic non-undeviating autonomic nervous system processes and displays neuro-cardiac activity. Lower HRV has main perioperative implications and is an liberated risk factor for all-cause and cardiovascular mortality and is connected with recognized risk factors. HRV has a high predicting value in preoperative judgment for post-operative morbidity and humanness. Diabetes-related unrestrained politically neuropathy can be still predicted using HRV as a form. HRV, as a part of a succeed system with signs of life, systolic blood pressure, and age was better than SOFA, NEWS, and MEWS in envisioning 30-day mortality and better prognosticated ICU admittance and intubation. Research has indicated the act of HRV in pediatrics to predict the asperity of neurotrauma and recovery, dilated cardiomyopathy, and neonatal sepsis. The feeling of HRV to temperature, position, and stress in addition to complex non-categorical values have shy its inclusion into routine clinical practice.

Author(s) Details:

S. Kalyani Surya Dhana Lakshmi,
AIIMS Bibinagar, Hyderabad, India.

Ananya Nanda,
ESIC Medical College and Hospital, Sanathnagar, Hyderabad-500004, India.

Vandana Pakhare,
Department of Anaesthesiology, ESIC Medical College and Hospital, Sanathnagar, Hyderabad, India.

Please see the link here: https://stm.bookpi.org/NAMMS-V3/article/view/10782

Albumin-Globulin Ratio as a Predictor of Prognosis in Critical Illness: A Prospective Observational Study| Chapter 8 | Perspective of Recent Advances in Medical Research Vol. 5

 Background: Nutritional rank and critical ailment have an inverse connection. The immunity of the patient is improved by a good digestive state which helps in a faster improvement from critical sickness. In this study, we analyzed the part of albumin and globulin ratio as prognostic markers for the distance of ICU stay.Materials and Methods: One hundred and fifty subjects with as well ten days of stay in the ICU were contained in the study. Variables like demographic details, comorbidities, skin fold denseness, calorie intake, and albumin globulin percentage were collected. The equivalence was made 'tween the parameters and the length of wait the ICU. Results: Demographically, both groups were comparable. The correlation 'tween calorie intake and the era 1 AG ratio showed Pearson’s equivalence coefficient R = 0.6373 and a P advantage less than 0.05. It designated a strong uninterrupted relationship middle from two points the albumin-to-globulin ratio on day individual and calorie intake. The equating between the number of days of ICU stay and the era 1 AG ratio demonstrated a Pearson correlation coefficient of R = 0.871 and a p-worth less than 0.05.Conclusion: We decide that nutritional rank assessed by AGR can guide us in the management of critical subjects and reduce ICU stay, with improving endurance.

Author(s) Details:

Mirunalini Gunaseelan,
SRM Institute of Science and Technology (SRM IST), Kattangulathur, India.

Pushparani Anand,
SRM Institute of Science and Technology (SRM IST), Kattangulathur, India.

Gayathri Ramanathan,
SRM Institute of Science and Technology (SRM IST), Kattangulathur, India.

Swetha Ramani Chinnappan Kuppusamy,
SRM Institute of Science and Technology (SRM IST), Kattangulathur, India.

Please see the link here: https://stm.bookpi.org/PRAMR-V5/article/view/9144