36. Clinical Features of and Risk Factors for 30-day Readmission after an Initial Hospitalization with COVID-19

Abstract Background Little is known about risk factors for readmission after COVID-19 hospitalizations. Knowledge of these factors may help to identify patients at increased risk and may help to prevent these rehospitalizations. Methods This historical cohort study was conducted at a tertiary care academic medical center. We included COVID-19 cases diagnosed by reverse-transcriptase polymerase-chain-reaction (RT-PCR) assay between March 8th and June 14th, 2020. Patients readmitted within 30 days were identified. Using the electronic medical record, we collected data on demographic and clinical information. Data were analyzed using Student’s t-test, the chi-squared test and multivariable logistic regression. Results We included 391 patients who survived after the index hospitalization for COVID-19. The readmission rate was 13.3% (52/391). The mean time to readmission was 9.2 ± 7.9 days. The mean age (±SD) was 66.3 ± 18.6 years, 44.2% were male, and 78.8% were black/African-American. The most common presenting complaint was shortness of breath (50%). The most frequent diagnosis during the readmission was infectious process (57.7%). The mortality rate on readmission was 11.5%. Patients with a 30-day readmission were older than those not readmitted, mean age (±SD) 66.3 ± 18.6 vs. 61.0 ± 16.0, respectively (p=0.03). Readmitted patients also had a higher prevalence of heart failure and renal disease as comorbidities. Elevated alanine aminotransferase (AST) and low albumin level were also associated with readmission (Table 1). Intensive care unit (ICU) admission or mechanical ventilation during the index admission did not increase the risk of readmission. From multivariable analysis, independent predictors of 30-day readmission were higher Charlson score (p=0.004), higher creatinine on admission in the index hospitalization (p=0.009), and presence of rhabdomyolysis during the index hospitalization (p=0.039) (Table 2). Table 1. Univariable Analysis of Predictors for Readmission within 30 days from COVID-19 Infection Table 2. Multivariable Analysis of Predictors for Readmission within 30 days from COVID-19 Infection Conclusion In our cohort, infectious etiologies were common among those readmitted within 30 days of COVID-19. A higher Charlson score, acute renal failure, and rhabdomyolysis during the index admission were independent predictors of a 30-day readmission. Further studies are required to investigate these contributing factors. Disclosures All Authors: No reported disclosures

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Clinical Features and Risk Factors for In-Hospital Mortality From COVID-19 Infection at a Tertiary Care Medical Center, at the Onset of the US COVID-19 Pandemic

Journal of Intensive Care Medicine ◽

10.1177/08850666211001799 ◽

2021 ◽

pp. 088506662110017

Author(s):

Ashish Bhargava ◽

Susanna M. Szpunar ◽

Mamta Sharma ◽

Elisa Akagi Fukushima ◽

Sami Hoshi ◽

...

Keyword(s):

Risk Factors ◽

Hospital Mortality ◽

Medical Center ◽

Academic Medical Center ◽

Tertiary Care ◽

Multivariable Analysis ◽

Laboratory Data ◽

Case Fatality ◽

Early Interventions ◽

Care Hospital

Background: Mortality from COVID-19 has been associated with older age, black race, and comorbidities including obesity, Understanding the clinical risk factors and laboratory biomarkers associated with severe and fatal COVID-19 will allow early interventions to help mitigate adverse outcomes. Our study identified risk factors for in-hospital mortality among patients with COVID-19 infection at a tertiary care center, in Detroit, Michigan. Methods: We conducted a single-center, retrospective cohort study at a 776-bed tertiary care urban academic medical center. Adult inpatients with confirmed COVID-19 (nasopharyngeal swab testing positive by real-time reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assay) from March 8, 2020, to June 14, 2020, were included. Clinical information including the presence of comorbid conditions (according to the Charlson Weighted Index of Comorbidity (CWIC)), initial vital signs, admission laboratory markers and management data were collected. The primary outcome was in-hospital mortality. Results: Among 565 hospitalized patients, 172 patients died for a case fatality rate of 30.4%. The mean (SD) age of the cohort was 64.4 (16.2) years, and 294 (52.0%) were male. The patients who died were significantly older (mean [SD] age, 70.4 [14.1] years vs 61.7 [16.1] years; P < 0.0001), more likely to have congestive heart failure (35 [20.3%] vs 47 [12.0%]; P = 0.009), dementia (47 [27.3%] vs 48 [12.2%]; P < 0.0001), hemiplegia (18 [10.5%] vs 18 [4.8%]; P = 0.01) and a diagnosis of malignancy (16 [9.3%] vs 18 [4.6%]; P = 0.03).From multivariable analysis, factors associated with an increased odds of death were age greater than 60 years (OR = 2.2, P = 0.003), CWIC score (OR = 1.1, P = 0.023), qSOFA (OR = 1.7, P < 0.0001), WBC counts (OR = 1.1 , P = 0.002), lymphocytopenia (OR = 2.0, P = 0.003), thrombocytopenia (OR = 1.9, P = 0.019), albumin (OR = 0.6 , P = 0.014), and AST levels (OR = 2.0, P = 0.004) on admission. Conclusions: This study identified risk factor for in-hospital mortality among patients admitted with COVID-19 in a tertiary care hospital at the onset of U.S. Covid-19 pandemic. After adjusting for age, CWIC score, and laboratory data, qSOFA remained an independent predictor of mortality. Knowing these risk factors may help identify patients who would benefit from close observations and early interventions.

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Risk Factors for Medication Nonadherence to Self-Injectable Biologic Therapy in Adult Patients With Inflammatory Bowel Disease

Inflammatory Bowel Diseases ◽

10.1093/ibd/izz253 ◽

2019 ◽

Vol 26 (2) ◽

pp. 314-320 ◽

Cited By ~ 6

Author(s):

Nisha B Shah ◽

Jennifer Haydek ◽

James Slaughter ◽

Jonathan R Ashton ◽

Autumn D Zuckerman ◽

...

Keyword(s):

Risk Factors ◽

Inflammatory Bowel Disease ◽

Bowel Disease ◽

Biologic Therapy ◽

Univariate Analysis ◽

Tertiary Care ◽

Multivariable Analysis ◽

Psychiatric History ◽

Increased Risk ◽

Inflammatory Bowel

Abstract Background In inflammatory bowel disease (IBD), including Crohn’s disease (CD) and ulcerative colitis (UC), nonadherence to biologic therapy increases risk of disease flare. The aim of this study was to identify risk factors for nonadherence. Methods This was a single-center retrospective study evaluating patients with IBD treated at a tertiary care center and prescribed self-injectable biologic therapy using the center’s specialty pharmacy. Adherence was defined using medication possession ratio (MPR). Nonadherence was defined as MPR <0.86. Results Four hundred sixty patients (n = 393 with CD and n = 67 with UC) were evaluated with mean MPR (interquartile range) equaling 0.89 (0.48–1). Overall, 69% of patients were adherent (defined as MPR ≥0.86), 66% of patients with CD and 87% of patients with UC. In univariate analysis, several factors increased risk of nonadherence: CD diagnosis, insurance type, psychiatric history, smoking, prior biologic use, and narcotic use (P < 0.05). In multivariable analysis, Medicaid insurance (odds ratio [OR], 5.5; 95% confidence interval [CI], 1.85–15.6) and CD diagnosis (OR, 2.8; 95% CI, 1.3–6.0) increased risk of nonadherence. In CD, as the number of risk factors increased (narcotic use, psychiatric history, prior biologic use, and smoking), the probability of nonadherence increased. Adherence was 72% in patients with 0–1 risk factors, decreasing to 62%, 61%, and 42% in patients with 2, 3, and 4 risk factors, respectively (P < 0.05). Conclusions This study identified risk factors for nonadherence to biologic therapy. In patients with CD, the probability of nonadherence increased as the number of risk factors increased.

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Severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence in healthcare personnel in northern California early in the coronavirus disease 2019 (COVID-19) pandemic

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.1358 ◽

2020 ◽

pp. 1-7

Author(s):

Joelle I. Rosser ◽

Katharina Röltgen ◽

Melissa Dymock ◽

John Shepard ◽

Andrew Martin ◽

...

Keyword(s):

Risk Factors ◽

Medical Center ◽

Academic Medical Center ◽

Multivariable Analysis ◽

Infection Control Practice ◽

Healthcare Personnel ◽

Northern California ◽

Rt Pcr ◽

Increased Risk ◽

Respiratory Coronavirus

Abstract Objective: We assessed the magnitude of unidentified coronavirus disease 2019 (COVID-19) in our healthcare personnel (HCP) early in the COVID-19 pandemic, and we evaluated risk factors for infection to identify areas for improvement in infection control practice in a northern California academic medical center. Methods: We reviewed anti–severe acute respiratory coronavirus virus 2 (SARS-CoV-2) receptor-binding domain (RBD) IgG serologic test results and self-reported risk factors for seropositivity among 10,449 asymptomatic HCP who underwent voluntary serology testing between April 20 and May 20, 2020. Results: In total, 136 employees (1.3%) tested positive for SARS-CoV-2 IgG. This included 41 individuals (30.1%) who had previously tested positive for SARS-CoV-2 by nasopharyngeal reverse-transcription polymerase chain reaction (RT-PCR) between March 13 and April 16, 2020. In multivariable analysis, employees of Hispanic ethnicity (odds ratio [OR], 2.01; 95% confidence interval [CI], 1.22–3.46) and those working in environmental services, food services, or patient transport (OR, 4.81; 95% CI, 2.08–10.30) were at increased risk for seropositivity compared to other groups. Employees reporting a household contact with COVID-19 were also at higher risk for seropositivity (OR, 3.25; 95% CI, 1.47–6.44), but those with a work, exposure alone were not (OR, 1.27; 95% CI, 0.58–2.47). Importantly, one-third of seropositive individuals reported no prior symptoms, no suspected exposures, and no prior positive RT-PCR test. Conclusion: In this study, SARS-CoV-2 seropositivity among HCP early in the northern California epidemic appeared to be quite low and was more likely attributable to community rather than occupational exposure.

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Potential relation of cardiovascular risk factors to disease activity in patients with axial spondyloarthritis

Therapeutic Advances in Musculoskeletal Disease ◽

10.1177/1759720x211033755 ◽

2021 ◽

Vol 13 ◽

pp. 1759720X2110337

Author(s):

Iván Ferraz-Amaro ◽

Javier Rueda-Gotor ◽

Fernanda Genre ◽

Alfonso Corrales ◽

Ricardo Blanco ◽

...

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Ankylosing Spondylitis ◽

Disease Activity ◽

Axial Spondyloarthritis ◽

Multivariable Analysis ◽

Activity Score ◽

Increased Risk ◽

Activity Measurements ◽

Beta Coefficient

Background: Axial spondyloarthritis (axSpA) patients are known to have a higher prevalence of several comorbidities, including, among others, an increased risk of atherosclerosis, hypertension, dyslipidemia, and diabetes. The purpose of the present study was to determine whether the sum of traditional cardiovascular (CV) risk factors is related to disease characteristics, such as disease activity, in patients with axSpA. Methods: A cross-sectional study that encompassed 804 patients with axSpA was conducted. Patients were assessed for the presence of five traditional CV risk factors (diabetes mellitus, dyslipidemia, hypertension, obesity, and smoking status), and disease activity measurements. A multivariable regression analysis was performed to evaluate whether the number of classic CV risk factors was independently associated with specific features of the disease, to include disease activity. Results: A multivariable analysis showed that Ankylosing Spondylitis Disease Activity Score–C reactive protein (ASDAS-CRP) activity score was significantly higher in patients with 1 [beta coefficient 0.3 (95% confidence interval (CI) 0.1–0.5), p = 0.001] and ⩾2 [beta coefficient 0.5 (95% CI 0.3–0.7), p = 0.000] CV risk factors compared with those without CV risk factors. Similarly, patients with 1 [OR 2.00 (95%CI 0.99–4.02), p = 0.053] and ⩾2 [OR 3.39 (95%CI 1.82–6.31), p = 0.000] CV risk factors had a higher odds ratio for the presence of high disease activity compared with the zero CV category. The Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) activity score was significantly associated with the number of CV risk factors, being higher in patients with more CV risk factors. These relationships showed a CV risk factor-dependent effect being beta coefficients and ORs higher for the effect of ⩾2 over 1 CV risk factor. Conclusion: Among patients with axSpA, as the number of traditional CV risk factors increased, disease activity similarly increases in an independent manner.

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Post-thyroidectomy bleeding: analysis of risk factors from a national registry

British Journal of Surgery ◽

10.1093/bjs/znab015 ◽

2021 ◽

Author(s):

H E Doran ◽

S M Wiseman ◽

F F Palazzo ◽

D Chadwick ◽

S Aspinall

Keyword(s):

Risk Factors ◽

Total Thyroidectomy ◽

Thyroid Surgery ◽

Multivariable Analysis ◽

Significant Risk ◽

Bleeding Risk ◽

Redo Surgery ◽

Day Case ◽

Increased Risk ◽

Male Sex

Abstract Background Post-thyroidectomy haemorrhage occurs in 1–2 per cent of patients, one-quarter requiring bedside clot evacuation. Owing to the risk of life-threatening haemorrhage, previous British Association of Endocrine and Thyroid Surgeons (BAETS) guidance has been that day-case thyroidectomy could not be endorsed. This study aimed to review the best currently available UK data to evaluate a recent change in this recommendation. Methods The UK Registry of Endocrine and Thyroid Surgery was analysed to determine the incidence of and risk factors for post-thyroidectomy haemorrhage from 2004 to 2018. Results Reoperation for bleeding occurred in 1.2 per cent (449 of 39 014) of all thyroidectomies. In multivariable analysis male sex, increasing age, redo surgery, retrosternal goitre and total thyroidectomy were significantly correlated with an increased risk of reoperation for bleeding, and surgeon monthly thyroidectomy rate correlated with a decreased risk. Estimation of variation in bleeding risk from these predictors gave low pseudo-R2 values, suggesting that bleeding is unpredictable. Reoperation for bleeding occurred in 0.9 per cent (217 of 24 700) of hemithyroidectomies, with male sex, increasing age, decreasing surgeon volume and redo surgery being risk factors. The mortality rate following thyroidectomy was 0.1 per cent (23 of 38 740). In a multivariable model including reoperation for bleeding node dissection and age were significant risk factors for mortality. Conclusion The highest risk for bleeding occurred following total thyroidectomy in men, but overall bleeding was unpredictable. In hemithyroidectomy increasing surgeon thyroidectomy volume reduces bleeding risk. This analysis supports the revised BAETS recommendation to restrict day-case thyroid surgery to hemithyroidectomy performed by high-volume surgeons, with caution in the elderly, men, patients with retrosternal goitres, and those undergoing redo surgery.

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Prevalence, Persistence, and Factors Associated with SARS-CoV-2 IgG Seropositivity in a Large Cohort of Healthcare Workers in a Tertiary Care University Hospital in Northern Italy

Viruses ◽

10.3390/v13061064 ◽

2021 ◽

Vol 13 (6) ◽

pp. 1064

Author(s):

Gitana Scozzari ◽

Cristina Costa ◽

Enrica Migliore ◽

Maurizio Coggiola ◽

Giovannino Ciccone ◽

...

Keyword(s):

Tertiary Care ◽

Multivariable Analysis ◽

Northern Italy ◽

University Hospital ◽

Care Workers ◽

Increased Risk ◽

Never Smokers ◽

The University ◽

Job Profile ◽

Pandemic Wave

This observational study evaluated SARS-CoV-2 IgG seroprevalence and related clinical, demographic, and occupational factors among workers at the largest tertiary care University-Hospital of Northwestern Italy and the University of Turin after the first pandemic wave of March–April 2020. Overall, about 10,000 individuals were tested; seropositive subjects were retested after 5 months to evaluate antibodies waning. Among 8769 hospital workers, seroprevalence was 7.6%, without significant differences related to job profile; among 1185 University workers, 3.3%. Self-reporting of COVID-19 suspected symptoms was significantly associated with positivity (Odds Ratio (OR) 2.07, 95%CI: 1.76–2.44), although 27% of seropositive subjects reported no previous symptom. At multivariable analysis, contacts at work resulted in an increased risk of 69%, or 24% for working in a COVID ward; contacts in the household evidenced the highest risk, up to more than five-fold (OR 5.31, 95%CI: 4.12–6.85). Compared to never smokers, being active smokers was inversely associated with seroprevalence (OR 0.60, 95%CI: 0.48–0.76). After 5 months, 85% of previously positive subjects still tested positive. The frequency of SARS-COV-2 infection among Health Care Workers was comparable with that observed in surveys performed in Northern Italy and Europe after the first pandemic wave. This study confirms that infection frequently occurred as asymptomatic and underlines the importance of household exposure, seroprevalence (OR 0.60, 95%CI: 0.48–0.76).

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Abstract T P136: Potential Contributors to the Declining Impact of Stroke Risk Factors with Age: Implications for Stroke Epidemiology in the Elderly

Stroke ◽

10.1161/str.45.suppl_1.tp136 ◽

2014 ◽

Vol 45 (suppl_1) ◽

Author(s):

George Howard ◽

Mary Cushman ◽

Maciej Banach ◽

Brett M Kissela ◽

David C Goff ◽

...

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Stroke Risk ◽

Multivariable Analysis ◽

The Elderly ◽

Stroke Risk Factors ◽

Age Related ◽

Increased Risk ◽

The Impact ◽

Age Related Changes

Purpose: The importance of stroke research in the elderly is increasing as America is “graying.” For most risk factors for most diseases (including stroke), the magnitude of association with incident events decreases at older ages. Potential changes in the impact of risk factors could be a “true” effect, or could be due to methodological issues such as age-related changes in residual confounding. Methods: REGARDS followed 27,748 stroke-free participants age 45 and over for an average of 5.3 years, during which 715 incident strokes occurred. The association of the “Framingham” risk factors (hypertension [HTN], diabetes, smoking, AFib, LVH and heart disease) with incident stroke risk was assessed in age strata of 45-64 (Young), 65-74 (Middle), and 75+ (Old). For those with and without an “index” risk factor (e.g., HTN), the average number of “other” risk factors was calculated. Results: With the exception of AFib, there was a monotonic decrease in the magnitude of the impact across the age strata, with HTN, diabetes, smoking and LVH even becoming non-significant in the elderly (Figure 1). However, for most factors, the increasing prevalence of other risk factors with age impacts primarily those with the index risk factor absent (Figure 2, example HTN as the “index” risk factor). Discussion: The impact of stroke risk factors substantially declined at older ages. However, this decrease is partially attributable to increases in the prevalence of other risk factors among those without the index risk factor, as there was little change in the prevalence of other risk factors in those with the index risk factor. Hence, the impact of the index risk factor is attenuated by increased risk in the comparison group. If this phenomenon is active with latent risk factors, estimates from multivariable analysis will also decrease with age. A deeper understanding of age-related changes in the impact of risk factors is needed.

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Abstract WP179: Rate of Pulmonary Embolism After Cerebral Venous Thrombosis

Stroke ◽

10.1161/str.48.suppl_1.wp179 ◽

2017 ◽

Vol 48 (suppl_1) ◽

Author(s):

Ava L Liberman ◽

Alexander E Merkler ◽

Gino Gialdini ◽

Michael P Lerario ◽

Steven R Messe ◽

...

Keyword(s):

Risk Factors ◽

Pulmonary Embolism ◽

Venous Thrombosis ◽

Vascular Risk Factors ◽

Emergency Department Visits ◽

Administrative Claims ◽

Cerebral Vein ◽

Vascular Risk ◽

Index Hospitalization ◽

Increased Risk

Introduction: Cerebral vein thrombosis (CVT) is associated with an increased risk of subsequent venous thromboembolism. It is unknown whether the risk of pulmonary embolism (PE) after CVT is similar to that of PE after deep venous thrombosis (DVT). Methods: We performed a retrospective cohort study using administrative claims data from all emergency department visits and hospitalizations in California from 2005-2011, New York from 2006-2013, and Florida from 2005-2013. We identified patients with CVT or DVT as well as the primary outcome of PE using previously validated International Classification of Diseases, Ninth Revision, Clinical Modification ( ICD-9-CM ) codes. In order to minimize misclassification error, patients with both CVT and DVT during the same index hospitalization were excluded and patients with CVT were censored at the time of development of DVT and vice versa. Kaplan-Meier survival statistics and Cox proportional hazards models were used to compare the risk of PE after CVT versus after DVT while adjusting for demographics, vascular risk factors, and the Elixhauser comorbidity index. Results: We identified 4,450 patients with CVT and 217,589 patients with DVT. During a mean follow-up of 2.0 (±1.7) years, 124 patients with DVT developed a PE and 18,698 patients with DVT developed a PE. Patients with CVT were younger (mean age 45 vs 63), more often female (71% vs 52%), more often pregnant, and had fewer vascular risk factors than patients with DVT. During the index hospitalization, the rate of PE was 1.5% (95% confidence interval [CI], 1.1-1.8%) in patients with CVT and 6.2% (95% CI, 6.1-6.3%, p<0.001) in patients with DVT. By 5 years, the cumulative rate of PE after CVT was 3.7% (95% CI, 3.0-4.4%) compared to 10.5% (95% CI, 10.3-10.6%, p<0.001) after DVT. After adjustment for demographics and comorbidities, CVT was associated with a significantly lower hazard of PE when compared to DVT (hazard ratio, 0.31; 95% CI, 0.26-0.38). Conclusion: In a large, heterogeneous population, we found that the risk of PE after CVT was significantly lower than that of PE after DVT. Among patients with CVT, the greatest risk for PE was apparent during the index hospitalization.

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A Cam Shaped Femur Might Be A Risk Factor for ACL Injuries

Orthopaedic Journal of Sports Medicine ◽

10.1177/2325967118s00139 ◽

2018 ◽

Vol 6 (7_suppl4) ◽

pp. 2325967118S0013

Author(s):

Thomas Rudolf Pfeiffer ◽

Jeremy M. Burnham ◽

Ajay C. Kanakamedala ◽

Jonathan Daniel Hughes ◽

James J. Irrgang ◽

...

Keyword(s):

Acl Reconstruction ◽

Injury Risk ◽

Roc Analysis ◽

Femoral Condyle ◽

Academic Medical Center ◽

Acl Injury ◽

Control Group ◽

Acl Injuries ◽

Increased Risk ◽

The Mean

Objectives: Bony morphologic characteristics have been demonstrated to increase the risk of anterior cruciate ligament (ACL) injury. While posterior femoral condyle condylar offset is an aspect of distal femoral bony morphology that has been reported to influence range of motion and other aspects of knee joint kinematics, it remains unclear whether this characteristic influences the risk of ACL injury. The purpose of the study was to examine the relationship between distal femoral morphology and risks of ACL injury, reconstruction failure, and contralateral ACL injury. It was hypothesized that increased posterior femoral condylar depth, quantified as the cam ratio, would correlate with increased risk of primary ACL injuries, ACL reconstruction failures, and contralateral ACL injuries. Methods: Consecutive patients undergoing evaluation for knee complaints at an academic medical center from 2012-2016 with minimum 24-month follow-up were retrospectively reviewed. Subjects were stratified into four groups: a control group consisting of patients with no ACL injuries and three groups of patients with a primary ACL injury, failed ACL reconstruction, or previous ACL injury with subsequent contralateral ACL injury. Using lateral radiographs, the ratio of posterior condylar depth over total condylar distance was defined as the cam ratio. Analysis-of-variance (ANOVA) and post-hoc testing were used to test for differences in the mean tomahawk ratio between study groups (p<0.05). Receiver Operating Characteristic (ROC) analysis was performed to determine the optimal cam ratio cut-off for detecting increased risk for ACL injury. Results: One hundred and seventy-five patients met inclusion criteria. The mean cam ratios in the control, primary ACL injury, failed ACL reconstruction, and contralateral ACL injury groups were 61.1% (± 2.1), 64.2% (± 3.8), 64.4% (± 3.6), and 66.9% (± 4.0), respectively. Patients with a primary ACL injury, failed ACL reconstruction, or contralateral ACL injury had a significantly higher cam ratio compared to the control group (p<0.008). ROC analysis demonstrated a cam ratio of 63% or greater to be associated with an increased risk for ACL injury with a sensitivity of83% and a specificity of 71%. Conclusion: The data from this study show that an increased posterior femoral condylar depth, or cam ratio, might be associated with increased risk of ACL injury, including primary ACL injury, failed ACL reconstruction, and contralateral ACL injury. The data from this study may help clinicians identify patients at greater risk of ACL injury and re-injury. Future prospective studies will be helpful in investigating the mechanism by which an increased cam ratio increases ACL injury risk and potential strategies to mitigate the increased risk posed by this bony characteristic.

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Clinical profile and factors determining outcome of intramural very low birth weight babies in a tertiary care centre: a retrospective study

International Journal of Research in Medical Sciences ◽

10.18203/2320-6012.ijrms20170143 ◽

2017 ◽

Vol 5 (2) ◽

pp. 520

Author(s):

Devi Meenakshi K. ◽

Arasar Seeralar A. T. ◽

Srinivasan Padmanaban

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Birth Weight ◽

Low Birth Weight ◽

Logistic Regression Analysis ◽

Very Low Birth Weight ◽

Tertiary Care ◽

P Value ◽

Increased Risk

Background: Very low birth weight (VLBW) babies are at increased risk of a number of complications both immediate and late. Worldwide it has been observed that these babies contribute to a significant extent to neonatal mortality and morbidity. Aim of the study was to study the risk factors contributing to mortality in VLBW babies and to evaluate the morbidity pattern in these infants.Methods: A retrospective analysis of data retrieved from the case records of VLBW babies admitted in the NICU of Kilpauk Medical College between January 2015 to December 2015. Out of the 2360 intramural babies admitted during the study period, 99 babies were less than 1500 gms. The risk factors for these babies were analyzed for their association with the outcome. Data were statistically analyzed.Results: In present study, we found that sex of the baby, gestational age, obstetric score, birth asphyxia, pulmonary haemorrhage, ROP and presence of shock were found to be associated with increased mortality. By logistic regression analysis it was observed that birth weight of the baby (p value 0.002), duration of stay (p value 0.0006), presence of shock (p<0.0001), were the risk factors significantly associated with poor outcome.Conclusions: Among the maternal and neonatal factors analyzed in the study using logistic regression analysis, birth weight, duration of hospital stay and presence of shock were significantly related to poor outcome. Of these presence of shock was the single most important factor that predicted increased mortality.

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