scholarly journals What are the Factors Associated with Re-revision After One-stage Revision for Periprosthetic Joint Infection of the Hip? A Case-control Study

2019 ◽  
Vol 477 (10) ◽  
pp. 2258-2263 ◽  
Author(s):  
Hussein Abdelaziz ◽  
Hendrik Grüber ◽  
Thorsten Gehrke ◽  
Jochen Salber ◽  
Mustafa Citak
Keyword(s):  
Periprosthetic Joint Infection ◽  
Case Control Study ◽  
Joint Infection ◽  
Case Control ◽  
Factors Associated ◽  
One Stage ◽  
Control Study

scholarly journals Risk Factor Analysis for Above-knee Amputation in Patients With Periprosthetic Joint Infection of the Knee: a Case-control Study

2021 ◽  
Author(s):  
Franziska Eckers ◽  
Christoph J. Laux ◽  
Sebastian Schaller ◽  
Martin Berli ◽  
Yvonne Achermann ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alcohol Abuse ◽  
Periprosthetic Joint Infection ◽  
Case Control Study ◽  
Joint Infection ◽  
Case Control ◽  
Individual Risk ◽  
Preoperative Anemia ◽  
Knee Amputation ◽  
Control Study

Abstract Background: Periprosthetic joint infection (PJI) is a severe complication following knee arthroplasty. Therapeutic strategies comprise a combination of surgical and antibiotic treatment modalities and aim to eradicate the infection. Sometimes control of the disease can only be attained by above-knee amputation (AKA). While a vast amount of literature exists illuminating predisposing factors for PJI, risk factors favoring the endpoint AKA in this context are sparsely known. Methods: The purpose of this investigation was to delineate whether patients with PJI of the knee present specific risk factors for AKA. In a retrospective case-control study 11 cases of PJI treated with AKA were juxtaposed to 57 cases treated with limb salvage (LS). The minimum follow-up was two years. Comorbidities, signs and symptoms of the current infection, factors related to previous surgeries and the implant, microbiology, as well as therapy related factors were recorded. Comparative analysis was performed using student’s t-test, chi-square test or Fisher’s exact test. Binary differences were calculated using odds ratio (OR). Reoperation frequency was compared using Mann-Whitney U test. In-depth descriptive analysis of 11 amputees was carried out. Results: A total of 68 cases aged 71±11.2 years were examined, hereof 11 with AKA and 57 with LS. Severe comorbidities (p=0.009), alcohol abuse (p=0.015), and preoperative anemia (p=0.022) were more frequently associated with AKA. Preoperative anemia was found in all 11 amputees (100%) and in 33 of 57 LS patients (58%) with an average preoperative hemoglobin of 99.9±15.1 g/dl compared to 118.2±19.9 g/dl (p=0.011). No other parameters differed significantly. AKA patients underwent a median of eight (range 2-24) reoperations, LS patients a median of five (range 2-15).Conclusion: Factors potentially influencing the outcome of knee PJI are diverse. The indication of AKA in this context remains a rarity and a case-by-case decision. Patient-intrinsic systemic factors such as alcohol abuse, severe comorbidities and preoperative anemia may elevate the individual risk for AKA in the setting of PJI. We recommend that anemia, being a condition well amenable to therapeutic measures, should be given special consideration in management of PJI patients. Trial registration: This study was registered with Kantonale Ethikkommission Zürich, (BASEC-No. 2016-01048).

Risk Factors for Subsequent Diagnosis of Prosthetic Joint Infection

2010 ◽  
Vol 31 (3) ◽  
pp. 298-301 ◽  
Author(s):  
Saima Aslam ◽  
Charles Reitman ◽  
Rabih O. Darouiche
Keyword(s):  
Risk Factors ◽  
Prosthetic Joint Infection ◽  
Odds Ratio ◽  
Case Control Study ◽  
Joint Infection ◽  
Case Control ◽  
Site Infection ◽  
Factors Associated ◽  
Prosthetic Joint ◽  
Control Study

The factors associated with prosthetic joint infection for 126 patients in a case-control study were as follows: bacteremia during the previous year (odds ratio [OR], 4.25 [95% confidence interval {CI}, 1.3–3.8]), nonsurgical trauma to the prosthetic joint (OR, 21.5 [95% CI, 2.6–175.2]), and surgical site infection (OR, 5.25 [95% CI, 1.7–16.7]).

scholarly journals Prevalence of Balance Impairment and Factors Associated with Balance among Patients with Stroke. A Cross Sectional Retrospective Case Control Study

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 320
Author(s):  
Fayaz Khan ◽  
Mohamed Faisal Chevidikunnan
Keyword(s):  
Case Control Study ◽  
Binary Logistic Regression ◽  
Berg Balance Scale ◽  
Case Control ◽  
Knee Extensors ◽  
Retrospective Case ◽  
Cross Sectional ◽  
Balance Impairment ◽  
Factors Associated ◽  
Control Study

Stroke is a major cause of disability worldwide, and balance impairments are common disabling factors in patients with stroke, leading to falls. Thus, the study objectives were as follows: (i) To find the prevalence of balance impairment among patients with stroke. (ii) To find out the factors associated with balance impairment in patients with stroke. This cross-sectional retrospective case control study involved eighty-one post stroke patients with a mean age of 58.36 ± 14.06, recruited from six hospitals, who underwent an assessment of balance, walking speed, depression and isometric strength of the ankle and knee. These patients were later categorized into subjects with good balance (<45) in the Berg balance scale (BBS) and those with poor balance (≥45), as cases and controls, to assess the factors associated with balance impairment using binary logistic regression. The prevalence of balance impairment among patients with stroke was 48.1%. The reduction in power of knee flexors (OR = 0.858), knee extensors (OR = 0.880) and ankle dorsiflexors (OR = 0.820) was found to be significantly associated with balance impairment, along with speed (OR = 1.187 (95% CI = 1.100, 1.280)), depression (OR = 1.331 (95% CI = 1.055–1.679)) and activities of daily living (OR = 0.313 (95% CI = 0.150–0.650)). In summary, around half of the patients with stroke exhibited balance impairments, with females being more prone.

scholarly journals Effects of sagging breasts and other risk factors associated with mastalgia: a case–control study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bülent Çomçalı ◽  
Servet Kocaoz ◽  
Buket Altun Özdemir ◽  
Ömer Parlak ◽  
Birol Korukluoğlu
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Coffee Consumption ◽  
Educational Status ◽  
Case Control ◽  
Tea Consumption ◽  
Drinking Alcohol ◽  
Factors Affecting ◽  
Factors Associated ◽  
Control Study

AbstractThe aim of this study is to compare patients with and without mastalgia and to analyze the factors affecting mastalgia and its severity. The patient’s age, height, weight, educational status, marital status, and occupation were recorded in all subjects. In addition, the women were asked about the presence of any risk factors for mastalgia, such as tea and coffee consumption, smoking, alcohol consumption, and weight gain. The sternal notch to nipple distance (SNND) was measured to determine whether there was breast sagging. Mastalgia was significantly more common in women with BMIs of > 30 kg/m2 (OR: 2.94, CI 1.65–5.24), those who were primary school graduates or illiterate (OR: 2.96, CI 1.6–5.46), and those with SNND values of 22–25 cm (OR: 2.94, CI 1.79–4.82). In these women, drinking more than 6 cups of tea a day (OR: 2.15, CI 1.32–3.5), smoking at least 10 cigarettes a day (OR: 2.94, CI 1.78–4.83), and drinking alcohol at least once a week (OR: 2.1, CI 1.12–3.91) were found to be important factors that increased the risk of mastalgia. As a result, it has been found that severe mastalgia complaints cause by obesity, sagging breasts, never giving birth, unemployment anxiety, regular smoking, alcohol use, and excessive tea consumption.

scholarly journals Factors associated with multidrug-resistant tuberculosis (MDR-TB) in Bhutan: A nationwide case-control study

PLoS ONE ◽  
2020 ◽  
Vol 15 (7) ◽  
pp. e0236250
Author(s):  
Chador Tenzin ◽  
Natkamol Chansatitporn ◽  
Tashi Dendup ◽  
Tandin Dorji ◽  
Karma Lhazeen ◽  
...  
Keyword(s):  
Case Control Study ◽  
Multidrug Resistant ◽  
Case Control ◽  
Factors Associated ◽  
Resistant Tuberculosis ◽  
Multidrug Resistant Tuberculosis ◽  
Mdr Tb ◽  
Control Study
Sign in / Sign up

Export Citation Format

Share Document