Literature DB >> 35903938

When to investigate for secondary hyperhidrosis: data from a retrospective cohort of all causes of recurrent sweating.

Nived Collercandy1,2, Camille Thorey1, Elisabeth Diot2, Leslie Grammatico-Guillon3,4, Eve Marie Thillard5, Louis Bernard1,4, François Maillot2,4, Adrien Lemaignen1,4.   

Abstract

Background: Identification of underlying diseases is crucial for secondary hyperhidrosis management, but data are lacking to guide appropriate investigation.Objective: To describe aetiologies of recurrent sweating in a hospital setting and the diagnostic performance parameters of their respective clinical/biological features.Patients and
Methods: We performed a monocentric evaluative study in a tertiary care centre. Patients with recurrent generalised sweating were selected via the Clinical Data Warehouse (CDW) by screening all electronic hospital documents from the year 2018 using a keyword-based algorithm. All in and out-patients aged ≥ 18 years having reported recurrent sweating for at least 2 weeks in 2018 were included, with a minimum one-year follow-up after symptoms' onset.
Results: A total of 420 patients were included. Over 130 different aetiologies were identified; 70 patients (16.7%) remained without diagnosis. Solid organ cancers (14.3% with 13 lung cancers), haematologic malignancies (14.0% with 35 non-Hodgkin's lymphomas) and Infectious Diseases (10.5% including 13 tuberculosis) were the most frequent diagnoses. Other aetiologies were gathered into inflammatory (16.9%) and non-inflammatory (27.6%) conditions. To distinguish non-inflammatory and undiagnosed hyperhidrosis from other causes, fever had a specificity of 94%, impaired general condition a sensitivity of 78%, and C-reactive protein (CRP) > 5.6 mg/l a positive predictive value of 0.86. Symptoms' duration over 1 year was in favour of non-infectious and non-malignant causes (94% specificity).Conclusions: We identified fever, impaired general condition, duration, and CRP as helpful orientation parameters to assess the need for complementary explorations for hyperhidrosis. The study provides a diagnostic algorithm for the investigation of recurrent sweating.KEY MESSAGESIn a hospital setting, malignancies and infections are the most frequently associated diseases, but 1/5 remain without diagnosis.Fever is a specific but not sensitive sign to distinguish inflammatory conditions.Over 1 year duration of symptoms significantly reduce the probability of malignancy or infection as the underlying diagnosis.

Entities:  

Keywords:  Recurrent sweating; diagnostic; night sweats; secondary hyperhidrosis; sudation

Mesh:

Year:  2022        PMID: 35903938      PMCID: PMC9455328          DOI: 10.1080/07853890.2022.2102675

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   5.348


Introduction

Thermoregulatory sweating is a physiological mechanism to maintain thermoregulation homoeostasis in humans. Sweating is triggered by a body temperature increase, which is sensed by peripheral and central thermoreceptors under the central control of the hypothalamus [1,2]. The hypothalamus, in turn, activates the autonomic nervous system through the efferent sympathetic pathway. Sweat is primarily produced by eccrine glands, which are widespread throughout the skin in significant numbers (1.6–4 million on the whole body) with variable density. These glands have muscarinic receptors that can be bound to acetylcholine, a neurotransmitter released from sudomotor nerves. Upon stimulation, human sweat glands can produce an average sweat rate of 1.4 l/h. This rate is regulated by body fluid volume and mechanically by skin hydration status [2]. In certain conditions, sweating rate can increase apart from exercise or elevated environmental temperature. Isolated, sweating out of those settings could be defined as primary hyperhidrosis, with a poorly understood pathophysiology, which may involve an autonomic pathway overstimulation exceeding thermoregulatory needs [3,4]. Hyperhidrosis is defined as excessive sweating causing negative impact on patients’ quality of life, and is thus a subjective symptom [5]. Secondary hyperhidrosis relies on an underlying condition. Excessive sweating has been reported in association with numerous diseases, including tuberculosis, lymphoma, and endocarditis, typically occurring at night, wetting clothes and bedsheets [6,7]. Sweating is often associated with fever as an appropriate response to body temperature increase, although there is not always body temperature elevation in secondary hyperhidrosis. In contrast to the more frequent focal presentation of primary hyperhidrosis, secondary hyperhidrosis is usually generalized to the whole body [5]. The proper diagnosis of secondary hyperhidrosis is crucial as life-threatening diseases can potentially be involved. Besides the consequences due to the underlying disorder, hyperhidrosis impacts quality of life by itself, notably involving psychosocial impairment [8,9]. To date, very limited data are available regarding the potential aetiologies and epidemiology of hyperhidrosis, although this symptom is quite common in primary care [10,11]. Studies in this field are mostly represented by literature reviews of case reports and are not able to provide the frequency of each diagnosis [6,7,12]. Only one retrospective study in an outpatient dermatology department has provided valuable clinical information about the differentiation of secondary hyperhidrosis from primary hyperhidrosis [13]. However, based on only one department, primary hyperhidrosis was predominantly represented along with few underlying diseases, and no data in hospitalised patients were available. Clinicians are thus lacking guidelines to support appropriate extensive investigation when they are confronted with generalised sweating in adults. The aim of this study was to assess the possible aetiologies of recurrent sweating in a hospital setting and the diagnostic performance parameters of respective clinical and biological features, using one teaching hospital data warehouse.

Patients and methods

A retrospective cohort of patients with recurrent generalised sweating was built to collect clinical and biological features from all in- and out-patients of one university hospital using the electronic medical records from a Clinical Data Warehouse for the year 2018. Because of the absence of diagnostic criteria for recurrent sweating, we empirically based our hypothetical definition of recurrent sweating to tend towards the standard definition of prolonged fever of unknown origin, considering symptoms occurring a minimum of 2 weeks from the onset of symptoms [14].

Data source

Data were collected using eHOP®, the Clinical Data Warehouse software of the tertiary care hospital of Tours; it integrates all electronic medical documents produced in the hospital information system [15,16]. We developed a research algorithm to detect the keywords “sweat” and its synonyms in French, including plural spelling, which were subsequently followed, within fewer than four words, by the French words for “prolonged”, “chronic”, “recurrent”, “night”, “day(s)”, “week(s)”, “month(s)”, or “year(s)”. The algorithm excluded documents where keywords were preceded by a negation within fewer than seven words.

Studied population and data collection

Our research algorithm was performed based on the data warehouse screening among all hospital documents produced between 1 January 2018 and 31 December 2018. All adults ≥ 18 years old admitted as in-patients and out-patients in 2018 were selected. As the datamining was carried out up to December 2020, all patients had at least a one-year follow-up after the onset of symptoms. We thoroughly analysed each patient’s medical record to include all patients who reported generalized sweating episodes for at least two weeks. Initial diagnosis was defined as the imputed diagnosis for the recurrent sweating symptomatology at hospital discharge. Final diagnosis for each secondary hyperhidrosis case was the most recent imputed diagnosis provided by the referring hospital physician at the time of data collection. Other data collected from the data warehouse included: age, sex, department of hospitalisation/consultation, duration of symptoms, associated symptoms, medical history, treatments, and laboratory results.

Pharmacovigilance database

We searched in PubMed and Google Scholar electronic databases by using combinations of the following keywords: “hyperhidrosis”, “sweating” and “drug-induced”, “drugs”, “medications”. For drugs of interest that were suspected by the attending physician, we identified all cases of “hyperhidrosis” (using preferred term according to MedDRA classification) reported to French pharmacovigilance database (FPVD) and to the WHO pharmacovigilance database (Vigilyze®) until January 2022. Cases with multiple suspected drugs were excluded. Only drugs with more than five cases in FPVD and 100 cases in Vigilyze® were labelled as reported in the respective database.

Statistical analysis

Variations between two groups were compared using Student’s t-test. Diagnostic performances for the dependent variable for a binary criterion, including sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), were estimated using the associated contingency table [17]. Accuracy was defined as: (True positive + True negative)/total number of patients. Continuous biological variables were assessed using an ROC curve in order to establish an optimal cut-point for diagnosis. Sensitivity and specificity were assessed for different cut-points and the optimal cut-point was defined as the maximisation of Youden’s index. ROC curve confidence intervals were estimated using bootstrap simulations on the performance measures. For all calculations, statistical significance was defined as a p-value of < .05. Statistical analyses were performed using both R software version 3.1 through the GMRC Shiny Stat interface from Strasbourg University Hospital (2017) and GraphPad Prism version 9.1.1.

Ethical approval

Ethical approval (no. 2020_057) was provided by the Ethics Committee in Human Research ERERC Centre Val de Loire, Tours, France (Chairperson Dr B. Birmele) on 10 July 2020. No patient consent was needed as this retrospective study was non-interventional. All patients admitted to Tours University Hospital are informed about and able to refuse the use of their anonymized data for research purposes.

Results

Flow chart

Our algorithm found 808 patients matching our primary research criteria. A total of 421 patients matched inclusion criteria following our manual analysis of medical records, out of 161,423 patients from our DataMart (0.3%). One patient was excluded due to an early death before any diagnosis was made. Eventually, 420 initial and final diagnoses were collected and enabled including 420 patients (Figure 1).
Figure 1.

Flow chart.

Flow chart.

Referring departments

Recurrent sweating was reported in patients from 27 different medical departments among the same tertiary care centre during the year 2018, including both out-patients and in-patients (Appendix 1). Half of those reports were spread across only four departments: Internal Medicine, Haematology, Pneumology, and Infectious Diseases (N = 223/50.2%; single-patient multiple admissions being counted individually).

Aetiological findings

Recurrent sweating occurred among 420 patients and over 130 aetiologies or groups of pathologies were identified after at least one year of follow-up (Table 1 and Appendix 2). No secondary cause was found for 70 patients (16.7%). Malignancy was the most frequent diagnosis group, including 119 patients (28.3%), half of them presenting with haematologic malignancies. Non-Hodgkin’s lymphoma (N = 35) was the most frequent haematologic malignancy and lung cancer (N = 13) was the most frequent solid organ cancer. Infectious diseases were identified for 44 patients (10.5%) and medications were involved in 33 patients (7.9%). Tuberculosis was the most frequently involved infection (N = 13). Drug-induced recurrent sweating included 19 different pharmacological classes (Table 2). All the patients’ medication data at the time the symptoms occurred were collected and each pharmacological class frequency was compared between patients, with no aetiological findings for their symptomatology and patients with established diagnoses as a comparison group. No statistical difference could be found between the two groups (data not shown). Systemic autoimmune and autoinflammatory diseases were identified in 24 patients (5.7%) and endocrine diseases in 22 (5.2%). Other following organs/systems involvement represented less than 5% of the diagnoses each: rheumatologic, psychiatric, neurologic, respiratory, non-oncologic haematologic, digestive and cardiovascular diseases. Non-pathologic conditions including menopause and pregnancy were also associated with recurrent sweating in 6 patients (1.4%). Surgical complications, obesity, allergies, dermatologic, ear nose throat (ENT), gynaecologic, and environmental diseases were among the rarest diagnoses and involved less than 1% of patients each. Extensive follow-up provided a diagnosis for 14 additional patients who did not have one at the end of their initial exploration. It also corrected the initial diagnosis in 13 cases.
Table 1.

Main aetiologies of recurrent sweating.

Aetiologies  N N (%)
Cancer (non-haematologic)Lung carcinoma1360 (14.3)
 Renal carcinoma6
 Breast carcinoma5
 Cholangiocarcinoma5
 Pancreatic adenocarcinoma5
 Colorectal adenocarcinoma4
 Prostate adenocarcinoma3
 Hepatocellular carcinoma2
 Kaposi’s sarcoma2
 Leiomyosarcoma2
 Melanoma2
 Non-seminomatous mediastinal germ cell tumour2
 Metastasis (undetermined)2
CardiovascularHigh blood pressure49 (2.1)
 Vasovagal syncope2
DigestiveCrohn’s disease510 (2.4)
 Ulcerative colitis2
 Chronic inflammatory bowel disease (unspecified)2
EndocrineDysthyroidism822 (5.2)
 Pituitary adenoma5
 Adrenal insufficiency2
 Diabetes2
 Ovarian insufficiency2
Haematologic   
OncologicLymphoma4759 (14)
  Non-Hodgkin’s lymphoma35
  Hodgkin’s lymphoma11
 Chronic lymphocytic leukaemia8
 Multiple myeloma3
Non-OncologicMyelofibrosis312 (2.9)
 Histiocytosis2
Infectious diseases Mycobacterium tuberculosis 1344 (10.5)
 Non-tuberculous mycobacteria2
 HIV3
 Cytomegalovirus3
 Helicobacter pylori gastritis2
 Chronic osteoarticular infection3
 Male urinary tract infection2
 Malaria2
 Pneumonia2
 Post-viral syndrome2
Medications(see Table 2) 33 (7.9)
NeurologicPeripheral neuropathy413 (3.1)
 Neuropathic pain3
 Dysautonomia2
PhysiologicMenopause/perimenopause56 (1.4)
PsychiatricDepressive and/or anxiety disorder1217 (4)
 Withdrawal syndrome3
RespiratoryObstructive sleep apnoea512 (2.9)
RheumatologicPeripheral spondyloarthropathy319 (4.5)
 Fibromyalgia2
 Rheumatoid arthritis2
 RS3PE2
 Arthritis (unspecified)2
SystemicVasculitis624 (5.7)
(General,Lupus3
Autoimmune orSarcoidosis3
Autoinflammatory)Autoinflammatory disease (unspecified)3
 Still’s disease2
Primary hyperhidrosis / No aetiology70(16.7)
Others*10(2.3)

N = 420 patients (aetiologies with a frequency of 1 in 420 are not shown and are presented in Appendix 2).

*Including allergies, dermatologic, and gynaecologic diseases, ENT-related diseases, environmental and nutritional diseases, and surgical complications.

Table 2.

Drug-induced recurrent sweating.

Pharmacological class N Main reported drugsPathophysiology
Corticosteroids3 b Increased sympathetic activity through glucocorticoid receptors
Immunosuppressive therapy3Tacrolimusa, Mycophenolate mofetilb, Leflunomidec 
Anti-PD-1 Ab2Pembrolizumab 
TNFα inhibitors2Adalimumaba, InfliximabaImbalance in cytokines network
Anti-IL-17 Ab1Ixekizumab 
Tyrosine kinase inhibitors1Sunitinib 
Chemotherapy (unspecified)1 b  
Anti-androgen/GnRH agonists3Cyproterone acetate, Leuprorelinea + Abiraterone, TriptorelinaAnti-estrogenic action
Aromatase inhibitor2Letrozolea, ExemestanecAnti-estrogenic action
Estrogen receptor modulators1TamoxifenbAnti-estrogenic action
Hormonal contraception1Ethinylestradiol + Levonorgestrelc 
Antiretroviral1Emtricitabine + Rilpivirine + Tenofovir alafenamide 
Morphine2FentanylaHistamine release
Cholinesterase inhibitors1PyridostigmineaCholinesterase inhibition
SNRI3VenlafaxineaSerotonergic effect on hypothalamus or spinal cord
SSRI3Paroxetinea, FluoxetineaSerotonergic effect on hypothalamus or spinal cord
GABA-R modulators1Etifoxine 
Antipsychotic1Paliperidone 
Antiepileptic1Lamotriginec, Lacosamide 

Ab: antibodies; SNRI: Serotonin-Noradrenaline Reuptake Inhibitors; SSRI: Selective Serotonin Reuptake Inhibitors. For precise database results, see Appendix 3.

aMedications with a mention of sweat-inducing potential in their summary of product characteristics.

bMedications with no mention of sweat-inducing potential in their summary of product characteristics but with a previously reported association with sweating in scientific literature[.

cMedications with no mention of sweat-inducing potential in their summary of product characteristics nor in scientific literature but with reported cases in pharmacovigilance databases.

Main aetiologies of recurrent sweating. N = 420 patients (aetiologies with a frequency of 1 in 420 are not shown and are presented in Appendix 2). *Including allergies, dermatologic, and gynaecologic diseases, ENT-related diseases, environmental and nutritional diseases, and surgical complications. Drug-induced recurrent sweating. Ab: antibodies; SNRI: Serotonin-Noradrenaline Reuptake Inhibitors; SSRI: Selective Serotonin Reuptake Inhibitors. For precise database results, see Appendix 3. aMedications with a mention of sweat-inducing potential in their summary of product characteristics. bMedications with no mention of sweat-inducing potential in their summary of product characteristics but with a previously reported association with sweating in scientific literature[. cMedications with no mention of sweat-inducing potential in their summary of product characteristics nor in scientific literature but with reported cases in pharmacovigilance databases.

Clinical and biological characteristics

We divided the patients into five groups: malignancies, infection, other inflammatory diseases, other non-inflammatory diseases, and the absence of aetiological findings, based on the pathophysiological mechanisms of each disease (Table 3). We provided each group with clinical and biological characteristics. If overall sex ratio was close to 1, men did more frequently present with malignancies (60%) and infections (70%) than women. Patients with malignancies were significantly older than other groups (64 [IQR 51.5–73] vs 50 [IQR 36–63] years; p < .01). BMI did not differ between groups. Immunodeficiency was more frequent in patients with other inflammatory diseases, notably due to immunosuppressive treatments (N = 17; 23.9%). Four of 15 patients with solid organ transplants remained without diagnosis. Among patients without diagnosis, six (8.6%) had a history of sleep apnoea and 25 (35.7%) were smokers. Patients with non-inflammatory diseases and those without diagnosis were less frequently hospitalised (39.7% and 34.3% vs 67.2% for malignancies, 70.5% for infections, and 63.4% for other inflammatory diseases) and were largely treated in out-patient clinics.
Table 3.

Patients’ characteristics by group of pathologies.

 TotalMalignancyInfectionOtherinflammatoryOther non-inflammatoryNo diagnosis
N420 (100)119 (28.3)44 (10.5)71 (16.9)116 (27.6)70 (16.7)
Sex (F/M) (N)213/20748/7113/3140/3169/4743/27
Age (median)53 (39–67)64 (51.5–73)43 (28.5–53)49 (33.5–66)53 (39–64)47 (39.5–61)
BMI (median)24 (21–27.4)24.3 (21.4–27.1)22.9 (19.2–25)23.6 (21.3–28)25 (22.5–30.8)23.6 (20.5–27.3)
Menopausea (N)111 (52.4)36 (75)3 (23.1)17 (42.5)41 (59.4)14 (33.3)
Medical history (N)     
 IDb76 (18.1)17 (14.3)8 (18.2)17 (23.9)20 (17.2)14 (20)
 HIV17 (4)5 (4.2)4 (9.1)1 (1.4)4 (3.4)3 (4.3)
 SOTc15 (3.6)4 (3.4)2 (4.5)1 (1.4)4 (3.4)4 (5.7)
 Sleep apnoea23 (5.5)4 (3.4)1 (2.3)1 (1.4)11 (9.5)6 (8.6)
Smokers119 (28.3)28 (23.5)13 (29.5)17 (23.9)36 (31)25 (35.7)
Hospitalized226 (53.8)80 (67.2)31 (70.5)45 (63.4)46 (39.7)24 (34.3)
Duration (N)      
 15 to 21 days19 (4.5)2 (1.7)10 (22.7)3 (4.2)3 (2.6)1 (1.4)
 ≥ 21 days to 3 months192 (45.7)69 (58)21 (47.7)30 (42.3)47 (40.5)25 (35.7)
 ≥ 3 months to 12 months124 (29.5)39 (32.8)12 (27.3)21 (29.6)32 (27.6)20 (28.6)
 ≥ 1 year85 (20.2)9 (7.6)1 (2.3)17 (23.9)34 (29.3)24 (34.3)
Fever (N)87 (20.9)26 (24.8)22 (51.2)28 (39.4)7 (6)4 (5.7)
General state impairment (N)248 (59)98 (82.4)33 (75)51 (71.8)39 (33.6)27 (38.6)
Symptoms’ occurrence (N)     
 Night only375 (89.3)106 (89.1)40 (90.1)70 (98.6)97 (83.6)62 (88.6)
 Night and day42 (10)12 (10.1)4 (9.1)19 (26.8)1 (0.9)6 (8.6)
 Day only3 (0.7)1 (0.8)0002 (2.9)
Laboratory characteristics     
 CRP (mg/l)8.2 (1.3–55.6)26 (4.9–85.2)44.1 (6.1–86.3)14.9 (1.3–72.4)2.2 (0.7–8.2)1.2 (0.7–2.2)
 LDH (UI/l)235 (187–313)261 (206–354)235 (170–247)235 (191–266)223 (180–260)183 (159–240)
 WBCd (109 cells/l)8 (6–10.8)9.1 (7–13.6)7.9 (5.8–10.5)8.2 (5.9–11.1)7.4 (6–8.8)6.6 (4.8–8.4)
 Lymphocytes (109 cells/l)1.7 (1.2–2.3)1.5 (0.9–2.2)1.6 (1.1–2.2)1.8 (1.2–2.3)2 (1.5–2.4)1.9 (1.4–2.6)
 Neutrophils (109 cells/l)5 (3.3–7.2)5.7 (3.7–8.2)5.3 (3.3–7.1)5.2 (3.1–8)4.5 (3.3–6)3.9 (2.8–5.2)
 Haemoglobin (g/dl)12.9 (11.4–13.9)11.8 (10.7–13.2)12.8 (11.8–13.5)12.4 (11.3–13.9)13.6 (12.6–14.4)13.7 (12.3–15.1)

Data are N (%) or median (± IQR).

aAmong the female population. bImmunodeficiency. cSolid organ transplant. dWhite blood cells.

Patients’ characteristics by group of pathologies. Data are N (%) or median (± IQR). aAmong the female population. bImmunodeficiency. cSolid organ transplant. dWhite blood cells. Symptoms occurred mostly during the night (N = 375; 89.3%), less frequently during both night and day (N = 42; 10%), and exceptionally exclusively during daytime (N = 3; 0.7%). Symptoms occurring during both night and day were more frequently caused by other inflammatory diseases (19 of 42). Regarding duration of symptoms, for patients who reported recurrent sweating for more than 2 weeks and less than 3 weeks, 10 of 19 had an infection. Recurrent sweating with an onset between 3 weeks and 3 months before admission was more frequently reported (N = 192; 45.7%). When considering patients with recurrent sweating between 3 weeks and 3 months and those between 3 months and 1 year, we found similar proportions between the 5 groups of pathologies. Patients with recurrent sweating for at least one year had a lower proportion of malignancy and infection, and a higher proportion of other inflammatory and non-inflammatory diseases, as well as absence of diagnosis. Fever and impaired general condition were more frequent as well as higher CRP, LDH, and neutrophil counts in patients with malignancy, infection, and other inflammatory diseases compared to groups of other non-inflammatory diseases and the group without diagnosis.

Diagnostic tests

We evaluated the diagnostic performance of fever, impaired general condition (defined by asthenia, anorexia, and/or weight loss), elevation of CRP, LDH or neutrophils for the distinction between inflammatory aetiologies and others, as well as a one-year symptom duration to distinguish non-infectious and non-malignant causes from the others (Table 4). Fever had a high specificity (94%) but a low sensitivity (33%), with a positive predictive value (PPV) of 0.87 in favour of malignancies, infection, and other inflammatory diseases as compared to non-inflammatory aetiologies. Impaired general condition had a sensitivity of 78% and a specificity of 65% in favour of the same 3 groups. To distinguish malignancies, infection, and inflammation from other causes, for a threshold of 5.6 mg/l, CRP had a high PPV of 0.86. For a threshold of 226.5 UI/l, LDH had a PPV of 0.8. And for a threshold of 5.3 × 109 cells/l, neutrophils had a PPV of 0.77. A duration of symptoms greater than one year had a high specificity (94%) and a PPV of 0.88 in favour of non-infectious and non-malignant diseases.
Table 4.

Diagnostic performance of clinical and biological parameters.

ParameterCut-pointPPVNPVSensitivity (95% CI)Specificity (95% CI)AUC (95% CI)Accuracy
In favour of malignancy, infection, and other inflammatory aetiologies (vs others)
 Fever 0.870.5333940.6
 Imp. Gen. condition0.730.778650.72
 CRP5.6 mg/l0.860.5771.1 (65–77.2)76.5 (68.4–85)79.2 (74.1–84.4)0.73
 LDH226.5 UI/l0.80.3959.8 (51.2–68.5)63.5 (50–75.1)65.2 (56.5–73.8)0.61
 Neutrophils5.3 × 109/l0.770.4351.2 (44.5–57.9)70.4 (62–78.7)61.1 (54.9–67.3)0.58
In favour of other aetiologies and primary hyperhidrosis (vs malignancy and infection)
 ≥ 1 year duration0.880.4629940.54

For continuous variables, optimal cut-points were established using a ROC curve. Sensitivity and specificity were assessed for different cut-points and the optimal cut-point was defined as the maximisation of Youden’s index. Accuracy is defined as: (True positive + True negative)/total of patients. PPV: Positive predictive value; NPV: Negative predictive value; AUC: Area under the curve; Imp. Gen. condition: Impaired general condition.

Diagnostic performance of clinical and biological parameters. For continuous variables, optimal cut-points were established using a ROC curve. Sensitivity and specificity were assessed for different cut-points and the optimal cut-point was defined as the maximisation of Youden’s index. Accuracy is defined as: (True positive + True negative)/total of patients. PPV: Positive predictive value; NPV: Negative predictive value; AUC: Area under the curve; Imp. Gen. condition: Impaired general condition.

Discussion

When confronted to the symptomatology of recurrent sweating, the recognition of underlying diseases is a key challenge for clinicians. It may sometimes be difficult to distinguish between secondary and primary hyperhidrosis. To our knowledge, no available data on the aetiologies of recurrent sweating in hospitalised patients have been published to date. Our retrospective cohort of 420 patients is the largest set of diagnoses to date associated with recurrent sweating and the largest cohort of secondary hyperhidrosis. Walling et al. suggested that primary hyperhidrosis onset was classically between 14 and 25 years old, with excessive sweating of more than 6 months’ duration, involving eccrine-dense sites, bilateral and symmetric, associated with a family history, and occurring only during the day [13]. We suggest that those criteria, which were developed in an outpatient dermatology department, are not applicable in certain settings, especially in hospitalised patients. Our patients were mainly over 25 years old, and other studies have reported idiopathic night sweats among elderly patients [10]. Almost all of the patients had nocturnal sweating episodes, including those identified as having undiagnosed hyperhidrosis, which may exclude day-time occurrence as a clear-cut criterion. After proper follow-up, our undiagnosed patients may be considered to actually have primary hyperhidrosis, and the current criteria might be expanded. We also showed that a duration cut-point of one year instead of 6 months might be more appropriate to consider primary hyperhidrosis in older patients, as it better decreased the risk of missing life-threatening diseases such as malignancies and infection. Taking into account our main findings, we suggest a diagnostic approach by the mean of an algorithm for the investigation of recurrent sweating (Figure 2). Duration of less than 3 weeks is mainly associated with infectious diseases. Proper investigation of recurrent sweating should be considered after at least 3 weeks’ duration. We suggest key clinical examination points and simple tests that could help orientate the investigation according to the aetiologies we report. Duration of one year or more is poorly associated with infections and malignancies, and other diagnoses should thus be considered in the absence of other signs in favour. Fever, impaired general condition, and CRP > 5.6 mg/l could be useful signs to consider inflammatory diseases. Second-line diagnostic procedures should be directed by examination. In the event of strong suspicion of malignancy or infection, FDG-PET/CT may help the investigation [18].
Figure 2.

Diagnostic approach for recurrent sweating. CBC: Blood cell count; ANCA: antineutrophil cytoplasmic antibodies; TSH: thyroid-stimulating hormone: GH: growth hormone; IGF-1: Insulin-like growth factor 1; LH: Luteinizing hormone; FSH: follicle-stimulating hormone.

Diagnostic approach for recurrent sweating. CBC: Blood cell count; ANCA: antineutrophil cytoplasmic antibodies; TSH: thyroid-stimulating hormone: GH: growth hormone; IGF-1: Insulin-like growth factor 1; LH: Luteinizing hormone; FSH: follicle-stimulating hormone. Several reviews detailed available therapeutic options for hyperhidrosis [19-21]. Treatment of secondary hyperhidrosis relies on the treatment of the underlying diseases. In some cases, if treatment is ineffective, unavailable, or if the symptoms are poorly tolerated, generalized hyperhidrosis could be treated using oral or transcutaneous anticholinergic drugs. Their use is however limited by their numerous adverse effects and contra-indications, especially in the elderly. Other oral alternatives include beta-blockers, clonidine, indomethacin, and calcium channel blockers, but with limited data. None have been formally approved in this indication by drug agencies. Options for the treatment of focal hyperhidrosis consist of topical antiperspirants, iontophoresis, botulinum toxin injections, and local surgical procedures including sympathectomy. Our study’s design strength is that retrospective research using a Clinical Data Warehouse enabled us to largely include patients from multiple departments and prevented a selection bias. We aimed to provide an as complete as possible list of diagnoses associated with recurrent sweating to be considered for differential diagnosis in order not to miss the rarest aetiologies. Our study also had some limitations. Being monocentric, data came from only a single centre in France. Our results should be confirmed in other centres and might not be comparable to the aetiologies of secondary hyperhidrosis worldwide, such as tropical countries with a wider range of infectious diseases. Its retrospective design, including documents from departments which were not specialized in the management of hyperhidrosis, did not allow for detailed description of the symptomatology. Some departments may also have searched more systematically than others for the occurrence of sweating. Our centre is a tertiary university hospital and patients with rare diseases may be over-represented. Thus, although primary hyperhidrosis is usually described as more frequent than secondary hyperhidrosis, our cohort lacked younger subjects who typically present with primary hyperhidrosis. We included patients from both in and out-patient clinics in similar proportions. However, if those two groups enabled a comprehensive overview of diseases that can be faced within a hospital, they differed as hospitalised patients present with worsened conditions and should be explored accordingly. Adequate warning signs are more frequent in the event of hospitalization.

Conclusion

We identified the main aetiologies of recurrent sweating in a university hospital setting and identified warning signs including fever, impaired general condition, alteration to or elevated CRP to help clinicians identify situations requiring extensive investigation. On the contrary, the absence of those warning signs, or a prolonged duration greater than a year, associated with a negative examination-based exploration, should not systematically be investigated by invasive or irradiating tests. Primary hyperhidrosis may have late onset and more studies are needed to confirm those findings.
DepartmentTotalN (%)HospitalizationNConsultationN
Internal Medicine82 (20)4834
Haematology60 (14)3129
Pneumology47 (11)3116
Infectious Diseases46 (11)3214
Emergency29 (7)1415
Rheumatology25 (6)214
Hepato-Gastro-Enterology21 (5)174
Nephrology & Transplantation20 (5)911
Endocrinology19 (4)712
Oncology17 (4)710
Neurology16 (4)88
Dermatology16 (4)88
Psychiatry11 (2)38
Gynaecology & Obstetrics8 (2)35
Digestive Surgery7 (2)43
Others*36 (9)

*1%: Intensive Care, Cardiology, Neurosurgery, Orthopaedic surgery, Geriatrics, Nutrition; < 1%: ENT, Palliative care, Thoracic surgery, Nuclear Medicine, Physiatry.

Aetiologies  N N total (%)
AllergyGrass pollen allergy1(0.2)
Cancer (non-haematologic)Lung carcinoma1360 (14.3)
  Metastatic7
 Renal carcinoma6
  Metastatic4
 Breast carcinoma5
  Metastatic3
 Cholangiocarcinoma5
  Metastatic5
 Pancreatic adenocarcinoma5
  Metastatic3
 Colorectal adenocarcinoma4
  Metastatic3
 Prostate adenocarcinoma3
  Metastatic1
 Hepatocellular carcinoma2
 Kaposi’s sarcoma2
 Leiomyosarcoma2
 Melanoma2
  Metastatic2
 Non-seminomatous mediastinal germ cell tumour2
 Adrenocortical carcinoma1
 Cutaneous squamous-cell carcinoma1
 Endometrial adenocarcinoma1
 Larynx carcinoma1
  Metastatic1
 Oropharyngeal carcinoma1
 Osteosarcoma1
 Pheochromocytoma1
 Metastasis (undetermined)2
CardiovascularHigh blood pressure49 (2.1)
 Vasovagal syncope2
 Heart failure1
 Leriche syndrome1
 Orthostatic hypotension1
DermatologicBullous pemphigoid12 (0.5)
 Chronic wound1
DigestiveCrohn’s disease510 (2.4)
 Ulcerative colitis2
 Chronic inflammatory bowel disease (unspecified)2
 Auto-immune hepatitis1
EndocrineDysthyroidism822 (5.2)
  Graves’ orbitopathy1
 Pituitary adenoma5
  Growth hormone3
  IGF-1 + prolactin1
  Prolactin1
 Adrenal insufficiency2
 Diabetes2
 Ovarian insufficiency2
 Adrenal adenoma1
 Hypercalcemia1
 Thymoma1
ENTMeniere’s disease1(0.2)
EnvironmentalSynthetic duvet1(0.2)
GynaecologicEndometriosis12 (0.5)
 Uterine fibroid necrosis1
Haematologic   
OncologicLymphoma4759 (14)
  Non-Hodgkin’s lymphoma35
   Diffuse large B-cell lymphoma16
   T-cell lymphoma5
   Follicular lymphoma4
   Mantle cell lymphoma4
   Waldenström’s macroglobulinemia3
   Marginal zone lymphoma1
  Hodgkin’s lymphoma11
 Chronic lymphocytic leukaemia8
 Multiple myeloma3
 Acute lymphoblastic leukaemia1
Non-OncologicMyelofibrosis312 (2.9)
 Histiocytosis2
 AL Amyloidosis1
 Essential thrombocythemia1
 Hemophagocytic lymphohistiocytosis (no primary aetiological finding)1
 Lymphoid hyperplasia1
 Lymphangiomatosis1
 Mastocytosis1
 Myelodysplastic syndrome1
Infectious diseases Mycobacterium tuberculosis 1344 (10.5)
  Pulmonary10
  Lymphadenitis5
  Pericarditis1
  Spinal/bone1
  Erythema nodosum1
 Non-tuberculous mycobacteria2
 HIV3
 Pneumocystis jirovecii1
 Mycobacterium intermediae1
  Cytomegalovirus colitis1
  Non-compliance with treatment1
 Cytomegalovirus (acute infection)2
 Cytomegalovirus (reactivation)1
 Parvovirus B19 (acute infection)1
 Helicobacter pylori gastritis2
 Chronic osteoarticular infection3
 Cutibacterium acnes1
 Staphylococcus epidermidis1
 Streptococcus mitis1
 Male urinary tract infection2
 Endocarditis1
 Staphylococcus aureus1
 Bartonella henselae (meningitis and hepatitis)1
 Coxiella urnetiid / Q fever (acute infection)1
  Plasmodium ovale 1
  Plasmodium vivax 1
 Post-streptococcal erythema nodosum1
 Pneumonia2
 Pulmonary abscess1
 Cutaneous abscess1
 Ovarian abscess (with peritonitis)1
 Viral infection (undetermined)1
 Post-viral syndrome2
 Non documented infection1
MedicationsCorticosteroids333 (7.9)
 Tacrolimus1
 Mycophenolate mofetil1
 Leflunomide1
 Pembrolizumab2
 Infliximab1
 Adalimumab1
 Ixekizumab1
 Sunitinib1
 Chemotherapy (unspecified)1
 Cyproterone acetate1
 Ethinylestradiol + Levonorgestrel1
 Enantone + Abiraterone1
 Exemestane1
 Tamoxifen1
 Letrozole1
 Triptorelin1
 Emtricitabine + Rilpivirine + Tenofovir alafenamide1
 Morphine2
 Pyridostigmine1
 Venlafaxine3
 Paroxetine2
 Fluoxetine1
 Etifoxine1
 Paliperidone1
 Lamotrigine + Lacosamide1
NutritionObesity1(0.2)
NeurologicPeripheral neuropathy413 (3.1)
 Neuropathic pain3
 Dysautonomia2
 Chronic polyradiculoneuritis1
 Occipital neuralgia1
 Small fibre neuropathy1
 Tolosa-Hunt syndrome1
PhysiologicMenopause/perimenopause56 (1.4)
 Pregnancy1
PsychiatricDepressive and/or anxiety disorder1217 (4)
  Depressive disorder4
  Anxiety disorder10
 Withdrawal syndrome3
 Burn-out1
 Psychogenic non-epileptic seizure1
RespiratoryObstructive sleep apnoea512 (2.9)
 Asthma1
 Chronic obstructive pulmonary disease1
 Cystic fibrosis1
 Lymphocytic interstitial pneumonia1
 Post-infectious bronchiolitis1
 Post-radiotherapy pneumonia1
 Pulmonary arterial hypertension1
RheumatologicPeripheral spondyloarthropathy319 (4.5)
 Fibromyalgia2
 Rheumatoid arthritis2
 RS3PE2
 Arthritis (unspecified)2
 Ankylosing spondylitis1
 Avascular necrosis of the talus1
 Chondrocalcinosis1
 Complex regional pain syndrome1
 Polymyalgia rheumatica1
 Sciatica1
 Seronegative arthritis1
 Inflammatory arthromyalgia (unspecified)1
Surgical complicationPost-operative pain12 (0.5)
 Inflammatory periprosthetic lymphocele (breast)1
SystemicVasculitis624 (5.7)
(General, Giant cell arteritis1
Autoimmune or Granulomatosis with polyangiitis2
Autoinflammatory) Microscopic polyangiitis1
  Polyarteritis nodosa1
  Not specified1
 Lupus3
 Sarcoidosis3
 Autoinflammatory disease (unspecified)3
 Still’s disease2
 Familial Mediterranean fever1
 Erythema nodosum1
 IgA deficiency1
 Non-allergic histaminic angioedema1
 Polyserositis (unspecified)1
 Polyadenitis (unspecified)1
 Relapsing polychondritis1
Primary hyperhidrosis /No aetiology 70(16.7)
Pharmacological classMain reported drugsSummary of product characteristicsFrench National PV databaseWorldwide PV database (= Vigilyze)
Corticosteroids No  
Immunosuppressive therapyTacrolimusMycophenolate mofetilLeflunomideYes (hyperhidrosis, common)NoNo1158077105
Anti-PD-1 AbPembrolizumabNo085
TNFα inhibitorsAdalimumabInfliximabYes (night sweats, uncommon)Yes (hyperhidrosis, common) 21 64 4012 1483
Anti-IL-17 AbIxekizumabNo1 113
Tyrosine kinase inhibitorsSunitinibNo0 181
Chemotherapy (unspecified)    
Anti-androgen / GnRH agonistsCyproterone acetateLeuprorelineTriptorelinNoYes (sweats, very common)Yes (hyperhidrosis, very common)330241283105
Aromatase inhibitorLetrozoleExemestaneYes (very common)No 5 6 267 133
Estrogen receptor modulatorsTamoxifenNo4 249
Hormonal contraceptionEthinylestradiol + LevonorgestrelNo 7 128
AntiretroviralEmtricitabine + Rilpivirine + Ténofovir alafenamideNo224
MorphineFentanylYes (hyperhidrosis, common) 22 3166
Cholinesterase inhibitorsPyridostigmineYes (not known)641
SNRIVenlafaxineYes (hyperhidrosis, including night sweats, very common) 78 2549
SSRIParoxetineFluoxetineYes (hyperhidrosis, very rare)Yes (hyperhidrosis, common) 91 27 2958 1073
GABA-R modulatorsEtifoxineNo12
AntipsychoticPaliperidoneNo4126
AntiepilepticLamotrigineLacosamideNoNo12129539

Values in bold represent drugs that were considered sufficiently reported in their respective database (N ≥ 5 for FPVD and N ≥ 100 for Vigilyze).

  24 in total

Review 1.  Recognition, diagnosis, and treatment of primary focal hyperhidrosis.

Authors:  John Hornberger; Kevin Grimes; Markus Naumann; Dee Anna Glaser; Nicholas J Lowe; Hans Naver; Samuel Ahn; Lewis P Stolman
Journal:  J Am Acad Dermatol       Date:  2004-08       Impact factor: 11.527

Review 2.  The etiology, diagnosis, and management of hyperhidrosis: A comprehensive review: Etiology and clinical work-up.

Authors:  Shiri Nawrocki; Jisun Cha
Journal:  J Am Acad Dermatol       Date:  2019-01-31       Impact factor: 11.527

Review 3.  Fever of Unknown Origin: the Value of FDG-PET/CT.

Authors:  Ilse J E Kouijzer; Catharina M Mulders-Manders; Chantal P Bleeker-Rovers; Wim J G Oyen
Journal:  Semin Nucl Med       Date:  2017-12-08       Impact factor: 4.446

4.  Prevalence of night sweats in primary care patients: an OKPRN and TAFP-Net collaborative study.

Authors:  James W Mold; Migi K Mathew; Shuaib Belgore; Mark DeHaven
Journal:  J Fam Pract       Date:  2002-05       Impact factor: 0.493

5.  Clinical differentiation of primary from secondary hyperhidrosis.

Authors:  Hobart W Walling
Journal:  J Am Acad Dermatol       Date:  2011-02-18       Impact factor: 11.527

Review 6.  Diagnosing night sweats.

Authors:  Anthon J Viera; Michael M Bond; Scott W Yates
Journal:  Am Fam Physician       Date:  2003-03-01       Impact factor: 3.292

Review 7.  Drug-induced hyperhidrosis and hypohidrosis: incidence, prevention and management.

Authors:  William P Cheshire; Robert D Fealey
Journal:  Drug Saf       Date:  2008       Impact factor: 5.606

8.  US prevalence of hyperhidrosis and impact on individuals with axillary hyperhidrosis: results from a national survey.

Authors:  David R Strutton; Jonathan W Kowalski; Dee Anna Glaser; Paul E Stang
Journal:  J Am Acad Dermatol       Date:  2004-08       Impact factor: 11.527

Review 9.  Night sweats: a systematic review of the literature.

Authors:  James W Mold; Barbara J Holtzclaw; Laine McCarthy
Journal:  J Am Board Fam Med       Date:  2012 Nov-Dec       Impact factor: 2.657

10.  Hyperhidrosis: an update on prevalence and severity in the United States.

Authors:  James Doolittle; Patricia Walker; Thomas Mills; Jane Thurston
Journal:  Arch Dermatol Res       Date:  2016-10-15       Impact factor: 3.017

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